Overview Models reach for an actuarial answer and fumble the long-tail math: a reserve that ignores development, mortality assumptions applied to the wrong cohort, discounting that quietly breaks the present value. Someone has to make the assumptions and the arithmetic hold across decades, and that someone is you. As an Actuary you&apos;ll evaluate AI-built risk models and pricing, check the assumptions and the methods, and write the judgments that teach models what actuarial rigor demands. What you&#x2019;ll actually do <ul><li>Evaluate AI actuarial work : reserving, pricing, and the assumptions driving each.</li><li>Check the methods : development factors, mortality and morbidity tables, discounting, and stochastic modeling.</li><li>Write the sound analysis when the model falls short, with assumptions documented and defensible. </li></ul>Roles this fits Common backgrounds: Actuary, Actuarial Analyst, Pricing Actuary. What we look for <ul><li>Actuarial experience or exam progress across life, health, P&amp;C, or pensions.</li><li>Fluency with probability, statistics, and actuarial methods.</li><li>Clear written English: your explanations are the training signal.</li><li>No degree required. We care about what you can do, not where you learned it. </li></ul>Compensation Up to $125+/hr depending on task difficulty and specialization. Many contributors add $100k&#x2013;$200k a year; some make it their full-time income. About DataAnnotation DataAnnotation is where 1M+ experts train the world&#x2019;s leading AI models. Hundreds of millions paid to contributors to date, and the average contributor stays 5+ years. Flexible, remote, and always project-available. Apply now Hourly rate up to $125+ / hour Commitment Flexible hours Type Independent contractor Payouts Weekly Apply now

Actuary (AI Training)

Overview Models manage cash on paper and miss what keeps a company solvent: a liquidity forecast that ignores timing, an FX hedge that leaves the real exposure open, a funding plan that assumes the market is always there. Someone has to make sure the cash is in the right place on the right day, and that someone is you. As a Treasury Analyst you&apos;ll evaluate AI treasury and liquidity analysis, check the forecasts and the hedging, and write the judgments that teach models how cash is really managed. What you&#x2019;ll actually do <ul><li>Evaluate AI treasury analysis : cash forecasting, liquidity, and working-capital timing.</li><li>Check the risk management : FX and interest-rate hedging, funding, and counterparty exposure.</li><li>Write the treasury answer when the model falls short, with the timing and risk detail the role demands. </li></ul>Roles this fits Common backgrounds: Treasurer, Treasury Analyst. What we look for <ul><li>Experience in treasury, cash management, or corporate liquidity.</li><li>Familiarity with forecasting, hedging, and short-term funding.</li><li>Clear written English: your explanations are the training signal.</li><li>No degree required. We care about what you can do, not where you learned it. </li></ul>Compensation Up to $125+/hr depending on task difficulty and specialization. Many contributors add $100k&#x2013;$200k a year; some make it their full-time income. About DataAnnotation DataAnnotation is where 1M+ experts train the world&#x2019;s leading AI models. Hundreds of millions paid to contributors to date, and the average contributor stays 5+ years. Flexible, remote, and always project-available. Apply now Hourly rate up to $125+ / hour Commitment Flexible hours Type Independent contractor Payouts Weekly Apply now

Treasury Analyst (AI Training)

Junior Data Scientist Position: Junior Data Scientist Type: Contractor Compensation: $150&#x2013;$200/hour Location: Remote About the OpportunityWe are seeking Data Scientists and Quantitative Professionals with experience at leading organizations to support an AI research project. You&#x2019;ll evaluate AI model performance across statistics, machine learning, experimentation, and quantitative reasoning to help improve model accuracy and analytical capabilities.Key Responsibilities<ul><li>Evaluate AI-generated outputs involving data science, statistics, machine learning, and quantitative problems.</li><li>Create challenging prompts, datasets, and reference solutions.</li><li>Identify flawed methodologies, statistical errors, and weaknesses in quantitative reasoning.</li><li>Assess data analysis, experimentation approaches, and data modeling techniques.</li><li>Provide structured, actionable feedback to improve AI model performance.</li></ul>Required Qualifications<ul><li>At least 1 year of experience at a leading company in technology, finance, research, or a related field, with some experience within the past 3 years.</li><li>Strong understanding of Python, statistics, machine learning, and data analysis.</li><li>Experience with Pandas, data modeling, and experimentation.</li><li>Strong analytical and quantitative reasoning skills.</li><li>Ability to communicate technical and statistical concepts clearly in writing.</li><li>Based in an English-speaking country.</li></ul>Preferred Qualifications<ul><li>Experience evaluating statistical models, machine learning outputs, or quantitative methods.</li><li>Strong knowledge of experimental design, data interpretation, and methodological validation.</li><li>Ability to develop rigorous datasets and reference solutions for complex analytical problems.</li></ul>Compensation<ul><li>$150&#x2013;$200/hour.</li><li>Independent contractor engagement.</li><li>Fully remote work.</li><li>Approximately 100 openings available.</li></ul>Application Process<ol><li>Submit your application with relevant data science or quantitative experience.</li><li>Complete any required screening or technical evaluation.</li><li>Demonstrate your statistical reasoning and analytical skills.</li><li>Begin evaluating AI outputs and developing data science tasks if selected.</li></ol>

Data Scientist (Remote | $150–$200/hr)

Population Health Informaticist (AI Training) About The Role We&apos;re partnering with leading AI research labs to build smarter, more accurate health AI &#x2014; and we need population health experts to help get it right. As a Population Health Informaticist, you&apos;ll apply your expertise in health data and analytics to evaluate, improve, and shape AI systems designed to understand and act on population-level health information. Your insights will directly influence how AI interprets health trends, identifies disparities, and supports evidence-based decisions at scale. This is a rare opportunity to do meaningful work that sits at the intersection of public health and cutting-edge AI development. <ul><li>Organization: Alignerr</li><li>Type: Hourly Contract</li><li>Location: Fully Remote</li><li>Commitment: 10&#x2013;40 hours/week </li></ul>What You&apos;ll Do <ul><li>Evaluate AI-generated outputs related to population health data, analytics, and public health strategy for accuracy, quality, and relevance</li><li>Collect, integrate, and assess population health metrics to identify trends, disparities, and intervention opportunities</li><li>Review and validate AI-designed dashboards, data pipelines, and reporting frameworks used for health monitoring and surveillance</li><li>Translate complex analytical insights into clear, actionable feedback that improves AI reasoning on population health topics</li><li>Identify gaps, errors, or misleading conclusions in AI-generated health analyses and suggest evidence-based corrections </li></ul>Who You Are <ul><li>Experienced working with healthcare, public health, or population-level datasets</li><li>Skilled in data analysis and visualization, including dashboards and reporting tools</li><li>Able to translate complex data into clear, actionable insights for diverse stakeholders</li><li>Detail-oriented with strong written communication skills</li><li>Comfortable working independently and asynchronously on flexible task-based assignments </li></ul>Nice to Have <ul><li>Background in epidemiology, biostatistics, health informatics, or public health policy</li><li>Prior experience with data annotation, data quality assessment, or evaluation systems</li><li>Familiarity with AI or machine learning workflows in a health context </li></ul>Why Join Us <ul><li>Work on cutting-edge AI projects alongside top research labs and data science teams</li><li>Fully remote and flexible &#x2014; set your own schedule and work when it suits you</li><li>Freelance autonomy with the opportunity to contribute to impactful, mission-driven work</li><li>Exposure to advanced data and analytics platforms shaping the future of health AI</li><li>Potential for ongoing work and contract extension based on performance</li></ul>

Population Health Informaticist

&#x1F680; Join the Future of Commerce with Whatnot! Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it&apos;s trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We&apos;re building live commerce at a scale that&apos;s never been done in the West, and there&apos;s no playbook to copy. The people here are shaping how an entirely new industry develops. As a remote co-located team, we&apos;re inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact. We&apos;re one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business and bring people together through commerce. &#x1F4BB; Role This role sits on the Revenue Operations team and will be the key operational partner to Whatnot&#x2019;s Australian GTM organisation. You&#x2019;ll work closely with local and global Sales, Category, Partnerships, Marketing, Product and Operations teams to help grow Whatnot&#x2019;s seller base, buyer community and commercial partnerships in Australia. <ul><li>Own reporting and performance analysis for the Australian GTM organisation, partnering with Data to identify trends, diagnose issues and recommend clear actions.</li><li>Build and improve operating rhythms, dashboards, processes and documentation that help AU GTM teams execute effectively.</li><li>Translate global playbooks and processes for the Australian market, incorporating local customer expectations, seller needs and market dynamics.</li><li>Partner with GTM leaders to define success metrics, track progress and present actionable insights to senior stakeholders.</li><li>Support Category and Partnerships teams with analysis of seller acquisition, seller activation, retention, category performance and initiative effectiveness.</li><li>Identify opportunities to improve the balance between seller supply and buyer demand across Australian categories.</li><li>Lead strategic and operational projects that support Australian growth, including market launches, category expansion and cross-functional process improvements.</li><li>Work with Sales, Post-Sales and Category teams to build scalable playbooks for seller onboarding, enablement and ongoing success.</li><li>Coordinate with global GTM, Product, Data and Operations teams to ensure clear ownership, effective handoffs and smooth execution across time zones.</li><li>Monitor the Australian live-commerce, marketplace and competitive landscape, turning relevant trends into recommendations for Whatnot&#x2019;s GTM strategy.</li><li>Act as a hands-on operator: move from insight to implementation, test solutions quickly and iterate based on results. </li></ul>We offer flexibility to work from home or from our hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role are required to be within commuting distance of our Sydney or Melbourne hubs. &#x1F44B; You In this role, you will be helping build and scale the operating model for Whatnot&#x2019;s Australian business. You will be comfortable working in a growing market where priorities evolve quickly, processes are still being built, and success depends on strong collaboration across local and global teams. <ul><li>Experience in consulting, strategic finance, strategy and operations, revenue operations, sales operations, or analytics within a high-growth startup, marketplace, e-commerce, retail, consumer technology, or similarly complex business.</li><li>Experience supporting a go-to-market or revenue organisation, ideally across functions such as, Partnerships, Category, Seller Growth, Customer Success, or Post-Sales.</li><li>Strong strategic judgement, with the ability to combine data-driven insights, commercial instincts, and a practical understanding of how to execute in-market.</li><li>Exceptional analytical skills, including the ability to move from high-level business questions to detailed analysis and clear, actionable recommendations.</li><li>Strong data skills, including proficiency with SQL, Salesforce, Excel or Google Sheets, and business reporting or dashboarding tools.</li><li>Excellent communication skills, with the ability to explain complex insights clearly and tailor your approach to executive, cross-functional, and local market audiences.</li><li>A track record of improving processes, building playbooks or operating rhythms, and helping teams execute more effectively.</li><li>The ability to translate global strategies and ways of working into practical approaches that reflect Australian customers, sellers, partners, and market dynamics.</li><li>Comfort operating at speed and with ambiguity, including the ability to prioritise independently, go deep on complex projects, and make progress without perfect information.</li><li>The ability to build trusted relationships across Whatnot while working effectively with colleagues in Australia and internationally across different time zones. </li></ul>&#x1F64F; Nice to Have <ul><li>Experience working on a marketplace or a two-sided platform</li><li>Passion for creator communities, existing product categories on Whatnot, and/or new verticals that are uniquely suited for live e-commerce</li><li>Experience buying and selling in online marketplaces communities </li></ul>&#x1F381; Benefits <ul><li>Generous Holiday and Time off Policy</li><li>Health Insurance options including Medical, Dental, Vision</li><li>Work From Home Support</li><ul><li>Home office setup allowance</li><li>Monthly allowance for cell phone and internet</li></ul><li>Care benefits</li><ul><li>Monthly allowance for wellness</li><li>Annual allowance towards Childcare</li><li>Lifetime benefit for family planning, such as adoption or fertility expenses</li></ul><li>Pension plans </li><li>Monthly allowance to dogfood the app</li><ul><li>All Whatnauts are expected to develop a deep understanding of our product. We&apos;re passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).</li></ul><li>Parental Leave</li><ul><li>16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence. </li></ul></ul>Please note: Whatnot will only contact you through official @whatnot.com email addresses. If you see an email impersonating a Whatnot recruiter, please disregard and report it as spam. &#x1F49B; EOE Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce. Compensation Range: A$180K - A$220K

Revenue Operations Manger - Australia

About This Opportunity We&apos;re working with a leading foundational AI lab to find experienced BI developers who can help train their latest language model on professional document, spreadsheet, and slide deck tasks. We&apos;re looking for BI developers with 4+ years building dashboards, reporting pipelines, and data-driven business narratives to create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows: executive KPI dashboards, monthly business performance decks, ad hoc SQL data pulls, data quality and validation checklists, metric definition glossaries, and self-serve reporting templates for stakeholders. Compensation: $80/hour Commitment: Flexible, 5-20 hours per week (or more if desired) Location: Fully remote, work on your own schedule Start date: ASAP Qualifications <ul><li> 4+ years building and maintaining BI dashboards, KPI reporting, and self-serve analytics for business stakeholders</li><li> Fluency in SQL and at least one BI/visualization tool with a proven track record of turning raw data into clear, decision-ready business narratives</li><li> Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail </li></ul>About Ethos Ethos is a new expert network built by a McKinsey/SoftBank/DeepMind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities. Key Requirements <ul><li>4+ years building and maintaining BI dashboards, KPI reporting, and self-serve analytics for business stakeholders</li><li>Fluency in SQL and at least one BI/visualization tool with a proven track record of turning raw data into clear, decision-ready business narratives</li><li>Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail</li></ul>

Expert Opportunity - BI Developer ($80/hr, up to $1,600/week)

Binance is a leading global blockchain ecosystem behind the world&#x2019;s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, and more. Our mission is to increase the freedom of money and financial access for people around the world. We are seeking a highly skilled professional to join our team, focusing on advancing through innovative AI solutions. The successful candidate will develop and refine Large Language Models (LLMs) to extract actionable insights, improve business decision-making, and optimize prompt design for more accurate outputs. Additionally, the role includes creating scalable and robust LLM/RAG frameworks tailored to customer service scheduling, fostering innovation and maintaining a competitive market edge. This role is 100% Remote, Work from Home based. Responsibilities <ul><li>Own the full LLM pipeline from data preparation to production real case usage.</li><li>Design, iterate and optimize prompts (zero-/few-shot, chain-of-thought, tool-calling, etc.) to maximize model utility and safety across products and languages.</li><li>Build and maintain Retrieval-Augmented Generation (RAG) QA/search systems that connect to multi-source knowledge bases.</li><li>Familiar with vLLM/SGLang inference architectures and have proven experience deploying and operating LLM services on multi&#x2011;GPU or cluster environments.</li><li>Design, implement and operate multi&#x2011;agent LLM architectures (e.g. LangGraph, CrewAI, AutoGen) including task decomposition, agent orchestration, memory sharing and tool&#x2011;calling workflows.</li><li>Develop evaluation pipelines (automatic metrics &amp; human feedback) to measure prompt and model quality, bias, and hallucination rates.</li><li>Collaborate with product and CS teams to integrate AI models into conversational Chatbot in different scenarios.</li><li>Track cutting-edge research, author tech blogs, and keep improve current architecture. </li></ul>Requirements <ul><li>Master&#x2019;s Degree or higher in Computer Science, Data Science or related field..</li><li>At least 2 years of deep-learning/NLP experience, including 1+ year practical LLM work (SFT, DPO, RAG, quantization, inference optimization, etc.).</li><li>Demonstrated prompt engineering &amp; tuning expertise (few-shot design, structured prompting, prefix-/p-tuning, reward re-ranking, safety filtering).</li><li>Practical experience building and deploying multi&#x2011;agent LLM workflows, with understanding of agent&#x2011;orchestrator patterns, shared memory, long&#x2011;horizon planning and guard&#x2011;rail design.</li><li>Proficient in both English and Chinese communication for efficient cross team collaboration </li></ul>Why Binance <ul><li>Shape the future of finance </li><li>Collaborate with world-class talent in a user-centric global organization with a flat structure</li><li>Tackle challenging projects in a fast-paced and innovative enviornment with autonomy</li><li>Thrive in a results-driven workplace with opportunities for career growth and continuous learning</li><li>Competitive salary and company benefits</li><li>Remote-first, work-from-home arrangement (may vary depending on the nature of the role and team) </li></ul>Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success. By submitting a job application, you acknowledge that you have read our Candidate Privacy Notice. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

LLM Data Scientist/Algorithm Engineer (Top Talent Program)

This is a remote, project-based role for Excel and spreadsheet modeling experts with deep proficiency in advanced Excel techniques and data analysis. You will complete tasks spanning complex spreadsheet builds, financial modeling, data cleaning, automation, and dashboard development. Work is over the next 2&#x2013;3 weeks, asynchronous, and assigned on a project-by-project basis, with an expected commitment of 5&#x2013;20 hours per week for the projects you accept. This position offers exceptional pay, exposure to real-world business and data problems, and a strong addition to your professional portfolio. Responsibilities <ul><li>Build and maintain complex Excel models including financial models, forecasting tools, scenario analyses, and operational dashboards</li><li>Design and implement advanced formulas, pivot tables, Power Query workflows, and VBA/macro automation</li><li>Clean, transform, and structure large datasets for analysis and reporting</li><li>Develop clear, visually polished Excel dashboards and reports for business stakeholders</li><li>Document spreadsheet logic, assumptions, and methodologies clearly and reproducibly </li></ul>Required Qualifications <ul><li>Demonstrable expert-level proficiency in Microsoft Excel including advanced formulas, Power Query, pivot tables, and VBA</li><li>Proven track record of delivering complex spreadsheet models or data tools in a professional setting</li><li>Strong attention to detail and ability to work independently on technical and analytical tasks</li><li>Bachelor&apos;s degree or higher in Finance, Accounting, Data Science, Business, Mathematics, or a related field </li></ul>Preferred Qualifications <ul><li>Experience with financial modeling, FP&amp;A, or business intelligence workflows</li><li>Familiarity with Excel add-ins and integrations (e.g., Power BI, Solver, or similar)</li><li>Experience automating Excel workflows using Python (e.g., openpyxl, xlwings) or VBA macros</li><li>Background in teaching or training others in Excel, data analysis, or financial modeling </li></ul>Why apply <ul><li>Flexible Time Commitment &#x2013; Work on your schedule while tackling meaningful data challenges</li><li>Startup Exposure &#x2013; Work directly with an early-stage Y Combinator-backed company, gaining hands-on experience that sets you apart</li><li>Exceptional Pay</li><li>Portfolio Building &#x2013; Gain experience solving complex, real-world spreadsheet and data modeling problems</li><li>Professional Growth &#x2013; Sharpen your skills on varied, challenging business datasets and analytical workflows</li></ul>

Excel Expert

This is a remote, project-based role for data scientists and product analysts with 3+ years of full time experience on a product team. You will author realistic product analytics problems drawn from the decisions you make at work, covering experiments, metrics, retention and growth, and work each one through to a reference answer that frontier AI labs use to test model judgment. Work is fully async with no fixed hours, a minimum of 10 hours per week and no maximum, and you can scale up or down week to week. This is an independent contractor role with ongoing project work, paid weekly via Stripe, with no screen recording, keystroke monitoring, or idle timers. Responsibilities <ul><li>Author realistic product analytics problems drawn from the decisions you make at work: experiments, metrics, retention and growth</li><li>Work each problem through to a reference answer, with the reasoning behind every step</li><li>Catch the analysis mistakes that look reasonable but only a practitioner would spot </li></ul>Required Qualifications <ul><li>3+ years full time as a data scientist or product analyst (internships and school don&apos;t count)</li><li>Hands-on experience designing or analyzing A/B tests</li><li>Strong SQL, Python and applied statistics</li><li>Able to commit at least 10 hours per week</li><li>Strong written English and able to explain an analysis clearly </li></ul>Preferred Qualifications <ul><li>Master&apos;s degree in a quantitative field</li><li>Experience defining product metrics or modeling retention and lifetime value </li></ul>Why apply <ul><li>Work stays in your specialty, judged on analytical judgment rather than volume</li><li>Set your own hours and scale up or down week to week</li><li>Weekly pay via Stripe</li><li>Your judgment shapes how the next generation of AI handles data analysis</li></ul>

Product Analytics and Experimentation Expert

Data Optimizationn Annalyst &#x2013; Entry Level | Remote &#x2013; AustraliaLocation: Australia (Remote)Salary: AUD $39&#x2013;$52 per hourApplicants must currently reside in Australia.Position OverviewWe are seeking an organised and detail-oriented Data Optimization Analyst to assist with maintaining accurate digital information and supporting routine data operations.This is an entry-level opportunity suitable for individuals who are comfortable using computers, working with structured information and following established procedures.Areas of Responsibility<ul><li>Review and update information within digital systems</li><li>Identify missing or inconsistent data</li><li>Perform routine accuracy and quality checks</li><li>Maintain organised electronic records</li><li>Process information according to documented guidelines</li><li>Assist with basic reporting and data administration</li></ul>Skills and Qualifications<ul><li>Basic computer proficiency</li><li>Good attention to detail</li><li>Strong organisational skills</li><li>Ability to follow written instructions</li><li>Clear communication skills</li><li>Familiarity with Excel or spreadsheets is beneficial</li></ul>Previous professional experience in data analysis is not required. Training and onboarding will be provided.Employment DetailsCompensation: AUD $39&#x2013;$52 per hourWorkplace: Remote / Work From HomeExperience Level: Entry LevelTraining: ProvidedApplication InformationThis vacancy is exclusively available to applicants currently residing in Australia. Candidates living overseas will not be considered.Interested candidates are invited to submit their resumes through LinkedIn for consideration.<ul><li>Shortlisted applicants will be contacted regarding the next stage of the recruitment process.</li></ul>

Data Optimizationn Annalyst

<div class="content-intro">
At <a href="https://himalayas.app/companies/whitetech">WhiteTech</a>, we empower businesses in the financial ecosystem with cutting-edge white-label and SAAS solutions.
Our comprehensive suite of tools is tailored for EMI, PSP, e-commerce, and open banking platforms. With <a href="https://himalayas.app/companies/whitetech">WhiteTech</a>, clients gain access to a platform designed for flexibility, scalability, and seamless integration.
Our mission is to help businesses unlock their full potential in a rapidly evolving financial landscape.
Whether scaling your PSP, enhancing your EMI services, or diving into open banking, <a href="https://himalayas.app/companies/whitetech">WhiteTech</a> is your partner for innovation and growth.
We are a remote-first technology company and welcome applications from candidates across Europe, including the EEA, the UK, Switzerland, and other non-EEA European countries such as Ukraine, Moldova, Georgia, Armenia, Montenegro, Turkey, and the Western Balkans. We also consider applicants from different locations who can work within Central European Time (CET).
</div><h3>Your role and impact:</h3>As a Business Analyst at <a href="https://himalayas.app/companies/whitetech">WhiteTech</a>, you will contribute to conducting detailed business analysis, understanding market dynamics, and enhancing our product offerings. By working closely with internal teams and external partners, you will ensure our products not only meet but exceed the evolving needs of our customers. We are looking for someone who is detail-oriented, proactive and innovative, able to learn and adapt quickly.<h3>Your key responsibilities:</h3><ul>
<li>Conducting comprehensive business analysis for diverse fintech projects and initiatives.</li>
<li>Analyzing industry trends, market conditions, and competitor strategies for benchmarking purposes.</li>
<li>Collecting and prioritizing the product requirements from stakeholders and the focus groups.</li>
<li>Developing detailed use cases, user stories, and documentation to outline product features and functionalities.</li>
<li>Identifying and addressing gaps in current products and processes.</li>
<li>Working with third-party developers to integrate API and SDK products.</li>
<li>Providing technical support to internal sales, operations units, and partner engineering teams.</li>
<li>Participating in troubleshooting, testing, launching, and monitoring post-integration of solutions.</li>
<li>Creating technical documentation, integration manuals, guidelines, user manuals, and training materials for clients.</li>
<li>Managing internal knowledge transfer and conducting product demonstrations to stakeholders.</li>
</ul><h3>Requirements &amp; Skills:</h3><ul>
<li>Bachelor’s Degree in Computer Science, Information Technology, Business Administration, Finance, or a related field.</li>
<li>At least 3 years experience as a Business Analyst or Product Manager.</li>
<li>Familiarity with both B2B and B2C environments.</li>
<li>Knowledge of business analysis requirements, project management principles, practices, techniques, and tools.</li>
<li>Understanding of basic usability principles and UI/UX design (Figma).</li>
<li>Experience with SQL and basic knowledge of HTML, CSS, JavaScript.</li>
<li>Strong proficiency in Jira, Confluence, Miro, UML, and Google tools (Docs, Sheets, etc.).</li>
<li>Experience in creating mockups and sketches for user interfaces.</li>
<li>Excellent communication skills, capable of engaging effectively with both technical and non-technical stakeholders.</li>
<li>Understanding of Agile methodologies.</li>
<li>Strong analytical, and problem-solving skills.</li>
<li>At least an Upper-intermediate level of English.</li>
</ul><h3>Our recruitment process typically follows these stages:</h3><ol>
<li>Application screening</li>
<li>Interview Stages (2-3 weeks):<ul>
<li>Prescreening call (40 min)</li>
<li>Technical Interview with PM (60 min)</li>
<li>Final Interview with Head of PMO (60 min)</li>
</ul>
</li>
<li>Job Offer</li>
<li>Referrals: Employment and Background Check</li>
</ol><div class="content-conclusion">
<h3>We offer:</h3>
<ul>
<li>Competitive compensation package (commensurate with your experience)</li>
<li>19 business days of flexible Paid Time Off (PTO)</li>
<li>Fully remote work with flexible hours (within the CET time zone) from any location of your choice</li>
<li>Values-driven culture with a friendly and supportive work environment</li>
<li>Opportunity to regularly participate in conferences and community events as both a participant and contributor</li>
<li>Matrix organizational structure designed to streamline communication, remove barriers, and promote efficiency</li>
</ul>
Embrace the opportunity to develop your skills in a cutting-edge fintech environment.
Please apply now to be part of our dynamic team and make a tangible impact on the future of payments!
Let’s build something great together!
</div>Originally posted on <a href="https://himalayas.app">Himalayas</a>

Business Analyst

Company DescriptionEdedge Learning is a ground-breaking organization dedicated to nurturing the potential of our youth and empowering them to explore the vast world of technology and other high-growth fields. Our upcoming initiatives will provide invaluable learning experiences by allowing audiences to gain insights from accomplished leaders, who will share not only their successes but also their journeys through failure. Despite our accomplishments, we remain dedicated to continuous growth, as our ultimate goal is to advance collectively as an organization and as a community. We elevate the industry of Ed-Tech by bringing in the training in the specific fields along with the industry experience. Visit Our Website to know about us : www.ededgelearning.com Role DescriptionThis is a remote internship role for a Data Analyst Internship &amp; Training Program. The role will involve day-to-day tasks related to data analytics, including data management, data analysis, data modelling, and developing analytical skills. The intern will have the opportunity to work on real-world data projects and gain practical experience in the field of data analytics. Responsibilities<ul><li>Work closely with our esteemed data science team to gather, refine, and analyse extensive datasets, refining skills in data pre-processing and visualization.</li><li>Apply machine learning and data mining methods to derive insights from large datasets, including identifying Excel interface structures.</li><li>Utilize Python programming for Exploratory Data Analysis (EDA) in practical business contexts, with a focus on risk analytics in banking and finance.</li><li>Acquire and apply advanced analytical techniques using tools like Tableau.</li><li>Create reports and presentations to effectively convey data analysis methodologies and findings.</li></ul> Qualifications<ul><li>Strong problem-solving and critical thinking abilities</li><li>Currently pursuing any degree showcasing a strong commitment to continuous learning and professional growth.</li><li>Excellent communication and teamwork skills</li><li>Ability to work independently and remotely</li></ul> Location: Remote Note : This is an unpaid internship. Upon application, our team will contact you to proceed with the application details and joining process.

Data Analyst Intern

Bioinformatics Expert Position: Bioinformatics Expert Type: Hourly Contract Compensation: $90&#x2013;$110/hour Location: Remote About the OpportunityWe&#x2019;re seeking experienced bioinformatics professionals to create scientific data-analysis tasks for AI model training. You&#x2019;ll work with real biological datasets, develop reproducible computational analyses, and evaluate results to ensure scientific accuracy and clear interpretation.Key Responsibilities<ul><li>Complete realistic, multi-step bioinformatics data-analysis tasks.</li><li>Create original scientific questions with exact, objectively verifiable answers.</li><li>Select and anonymize datasets from public repositories or eligible private research data.</li><li>Use scientific software, code, and command-line tools to produce reproducible analyses.</li><li>Develop Jupyter validation notebooks in Python or R to reproduce correct answers.</li><li>Interpret findings in biological or translational contexts, documenting assumptions, uncertainty, and conclusions.</li><li>Deliver structured outputs and clear scientific explanations.</li></ul>Required Qualifications<ul><li>Master&#x2019;s degree, PhD, or equivalent research experience in Bioinformatics, Computational Biology, Genomics, Statistical Genetics, Quantitative Biology, or a related field.</li><li>Hands-on experience analyzing sequencing and omics data, such as RNA-seq, WGS/WES, variant calling, metagenomics, or proteomics.</li><li>Familiarity with tools such as samtools, bcftools, bedtools, BWA, Bowtie2, or BLAST.</li><li>Programming experience with Python (pandas, Biopython, pysam) or R/Bioconductor (DESeq2, edgeR, limma, GenomicRanges).</li><li>Ability to create and run Jupyter notebooks that reproduce analytical results.</li><li>Strong scientific writing and communication skills.</li></ul>Preferred Qualifications<ul><li>Access to unpublished or private datasets that you have permission to share.</li><li>Specialized expertise in a niche area, such as non-model organisms, unusual assays, or advanced genomic interpretation.</li><li>Experience designing reproducible computational workflows and validating scientific results.</li></ul>Compensation<ul><li>$90&#x2013;$110 per hour.</li><li>Remote hourly contract.</li><li>Flexible work involving scientific analysis and AI training data development.</li></ul>Application Process<ol><li>Submit your application and relevant academic or research experience.</li><li>Describe your expertise in sequencing data, omics analysis, and bioinformatics tools.</li><li>Complete any required technical screening or assessment.</li><li>Begin contributing datasets, reproducible analyses, and validated scientific tasks after selection and onboarding.</li></ol>

Bioinformatics Research Scientist (Remote | $90–$110/hr)

Your original wording can largely stay unchanged. LinkedIn requires a clear location and paid/unpaid status, so I added two bracketed fields for you to complete. Keep the $10M+ claim and both schedule options if accurate. Approval cannot be guaranteed from wording alone. linkedin.comRevenue Operations AnalystRemote | Part-Time or Full-TimeLocation: [Eligible country/countries or region]Compensation: [Confirm paid/unpaid status; include compensation range where required]We are hiring a highly analytical Revenue Operations Analyst for a fast-growing education company generating $10M+ annually.Your role is to give leadership clear, reliable insight into the revenue engine by owning dashboards, scorecards, funnel reporting, data accuracy and performance analysis.You will help track the full funnel:Paid Ads &#x2192; Leads &#x2192; Setters &#x2192; Bookings / HOT Transfers &#x2192; Sales Conversations &#x2192; Sales &#x2192; Upsells &#x2192; Cash CollectedWhat You&#x2019;ll Do<ul><li>Build and maintain revenue dashboards and scorecards</li><li>Track targets, actuals, variance and trends</li><li>Analyze funnel conversion rates</li><li>Identify bottlenecks, anomalies and revenue leakage</li><li>Report performance by channel, department and team member</li><li>Investigate why revenue or conversion rates change</li><li>Reconcile data across CRM, payment and marketing systems</li><li>Improve data accuracy and standardize KPI definitions</li><li>Automate recurring reporting where possible</li><li>Prepare weekly revenue insights for leadership</li></ul>Key MetricsYou may work with:<ul><li>Ad spend, CPL, CAC and ROAS</li><li>Leads, bookings and show rate</li><li>HOT transfer performance</li><li>Close rate and offer rate</li><li>Revenue per call</li><li>Cash collected</li><li>Sales by closer</li><li>Backend / upsell revenue</li><li>Revenue by campaign and source</li><li>Team member performance</li></ul>What We&#x2019;re Looking ForYou should be strong in:<ul><li>RevOps, Sales Ops or Revenue Analytics</li><li>Google Sheets and/or Excel</li><li>Advanced formulas and pivot tables</li><li>Dashboard creation</li><li>Funnel analysis</li><li>Data cleaning and reconciliation</li><li>KPI reporting</li><li>Root-cause analysis</li></ul>Experience with tools such as GoHighLevel, HubSpot, Salesforce, Looker Studio, Power BI, Tableau, SQL, Zapier, Make, Meta Ads or payment processors is highly valuable.You do not need experience with every tool. We care most about your ability to turn messy data into clear, accurate insights leadership can act on.Ideal CandidateYou are:<ul><li>Highly analytical</li><li>Detail-oriented</li><li>Commercially minded</li><li>Proactive</li><li>Comfortable questioning numbers</li><li>Strong at identifying inconsistencies</li><li>Able to explain data simply to senior management</li></ul>Schedule<ul><li>Part-Time: approximately 20 hours per week</li><li>Full-Time: approximately 35&#x2013;40 hours per week</li></ul>Fully remote.

Revenue Operations Specialist

What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That&#x2019;s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers&apos; protection. Huntress now secures more than 5M endpoints and 16M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Senior Manager, Detection Engineering &amp; Threat Hunting Location: Remote Australia Compensation Range: $150,000 to $170,000 AUD base plus bonus and equity What You&#x2019;ll Do: Members of the Huntress DE&amp;TH team wake up every morning with the honor of impeding threat actors through a combination of detection engineering and threat hunting. This team sits alongside our 24x7 Security Operations Center, and our Adversary Tactics &amp; Tactical Response function, and plays a pivotal role in detecting threats actors before they get a chance to impact our partner environments. As a Senior Detection Engineering and Threat Hunting (DE&amp;TH) Analyst you should be drawn to the hard problems: detecting stealthy intrusions, managing false positives and false negatives at scale, and uncovering clues that may expose an evolving campaign across Huntress partners. In this role you will turn threat intelligence, or a hypothesis, into detections that help the SOC find real intrusions faster. While the SOC is responding to alerts within minutes, this team is developing detections and reviewing more ambiguous signs of attacker activity on a daily &amp; weekly basis. On the Detection Engineering side of the role, you will play a part in designing, building, and maintaining a resilient, scalable, and high-fidelity detection portfolio that enables the SOC to rapidly identify and respond to adversary activity. This will involve working with engineering and other adjacent teams to achieve a shared goal across multiple domains which includes identities and endpoints. On the Threat Hunting side of the role, you will get to research new attacker tradecraft, test new theories, and review hunting data at scale for millions of endpoints to proactively hunt for, and disrupt, stealthy threat actor techniques that evade initial defenses. If you love Detection Engineering and Threat Hunting at scale, whilst in the environment and energy of a SOC, this is the role for you! Responsibilities: <ul><li>Contribute to all parts of the detection lifecycle by creating new rules, testing them before deployment, monitoring efficacy, and tuning, promoting, or retiring rules based on their performance.</li><li>Develop rules across a variety of Huntress products and operating systems such as: Identity Threat Detection and Response (ITDR), Security Information and Event Management (SIEM), Endpoint Detection and Response (EDR), Windows, Linux, and MacOS.</li><li>Manage any DE&amp;TH requests raised internally or escalated from our partners.</li><li>Undertake hypothesis-driven hunts across Huntress telemetry, prioritising techniques and tradecraft that may evade high-fidelity detections and initial SOC review.</li><li>Consume threat intelligence and translate IOCs, TTPs, and internal findings into new or refined detections through Git-based workflows.</li><li>Build and refine hunting dashboards or queries required to surface potential intrusions.</li><li>Review ambiguous signs of attacker activity across Huntress products, and surface likely intrusions that require deeper investigation.</li><li>Investigate or escalate likely intrusions identified to ensure partners receive clear incident reports with accurate advice.</li><li>Contribute findings to community-driven projects and create Huntress content such as blogs, social posts, videos, podcasts, and webinars.</li><li>Use AI-assisted workflows to prototype queries, enrich analysis, and develop a scaffolding for detection rules, ensuring you apply sound judgment to validate the AI output. We expect everyone at Huntress to be able to use AI as a real part of how they work, not occasionally, but genuinely embedded in core workflows. </li></ul>What You Bring To The Team: <ul><li>2+ years of experience in detection engineering, threat hunting, SOC, MDR, or incident response.</li><li>Intermediate knowledge of Windows internals.</li><li>Working knowledge of Linux, macOS, Microsoft 365, Azure, and Google Workspace.</li><li>Experience developing, testing, tuning, and documenting detections or analytics from threat intelligence, IOCs, hypotheses, or real-world investigations.</li><li>Ability to communicate findings through clear written reports.</li><li>Strong familiarity with detection languages such as Sigma, Suricata, Snort, or YARA, and query languages such as KQL, EQL, ES|QL, or Splunk SPL.</li><li>A sound understanding of adversary tradecraft, including techniques used for persistence, privilege escalation, defense impairment, lateral movement, discovery, and collection on a system.</li><li>A sound understanding of the roles different threat actors play and their associated goals, such as: initial access brokers, ransomware affiliates, and state-sponsored entities.</li><li>Ability to orchestrate reusable AI workflows that improve threat hunting, detection development, or analysis, and can verify AI-generated outputs before they reach production environments. </li></ul>Bonus points for: <ul><li>Intermediate knowledge of Linux and MacOS internals.</li><li>Hands-on experience using tools to remotely discover evidence of compromise such as OSquery, Velociraptor, and EDR/MDR/XDR platforms.</li><li>Previous use of forensic tooling such as Eric Zimmerman&apos;s EZ Tools, RegRipper, Hayabusa, or Chainsaw to analyze endpoint artifacts.</li><li>Intermediate malware analysis skills. </li></ul>What We Offer: <ul><li>Fully remote work</li><li>At least one annual trip to the US for Summer Summit, with additional local events in Australia!</li><li>New starter home office set up reimbursement ($800 AUD)</li><li>12 weeks paid parental leave for both primary and secondary carers</li><li>Monthly digital allowance for personal phone and internet costs ($185 AUD)</li><li>Monthly home office tech stipend to upgrade or replace equipment ($40 AUD)</li><li>Subsidised private health insurance through our preferred provider</li><li>Stock options for all full-time employees</li><li>Access to the BetterUp platform for coaching, personal, and professional growth </li></ul>Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com. Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

Senior Detection Engineering & Threat Hunting Analyst

Explore full-time remote Finance Generalist jobs in Sydney for 2026 at Rex.zone. We are seeking mid-senior finance professionals to drive cross-functional finance operations, financial reporting, and strategic FP&amp;A workflows. As a vital part of our global technology platform, you will manage accounting compliance, optimize financial modeling, and support corporate finance initiatives. Whether you are looking for remote, contract, or full-time opportunities in the FinTech sector, Rex.zone offers unparalleled roles for finance experts. Apply today to elevate your career in financial planning, risk management, and operational finance while supporting advanced LLM training pipelines. Core Responsibilities and Financial Workflows As a Finance Generalist, your role encompasses a broad spectrum of financial workflows. You will drive financial reporting standards, execute month-end close processes, and collaborate on large language model evaluation for financial data accuracy. Your expertise in cross-functional finance operations will directly impact our model performance improvement and corporate financial health. You will partner with AI labs and tech startups to ensure content safety labeling and named entity recognition within financial datasets are accurate, bridging the gap between traditional finance and AI data labeling. Qualifications For Mid-Senior Finance Professionals To succeed in these full-time remote roles, candidates must possess deep expertise in FP&amp;A, corporate accounting, and financial compliance. You should have a proven track record in financial modeling and cross-functional finance operations. Familiarity with RLHF (Reinforcement Learning from Human Feedback), prompt evaluation, and QA evaluation for financial AI models is highly desirable. Whether you have a background in traditional BPOs, tech startups, or enterprise finance, your ability to navigate complex financial pipelines and deliver precise data labeling insights will be critical to your success.

Finance Generalist

Data Scientist Position: Data Scientist Type: Contractor Compensation: $245&#x2013;$280/hour Location: Remote About the OpportunityWe are seeking experienced Data Scientists and Quantitative Professionals to contribute to projects focused on improving how advanced AI systems reason about data, statistics, machine learning, experimentation, and quantitative analysis.In this role, you will apply your expertise to evaluate AI-generated solutions, develop challenging quantitative tasks, and provide expert feedback that helps improve model performance. The work involves assessing statistical reasoning, machine learning methodologies, experimental design, data analysis techniques, and quantitative problem-solving approaches.This opportunity is ideal for professionals with strong backgrounds in data science, machine learning, analytics, statistics, quantitative research, or related fields. No prior AI experience is required.Key Responsibilities<ul><li>Evaluate AI-generated responses involving data science, machine learning, statistics, and quantitative reasoning.</li><li>Create expert-level prompts, datasets, evaluation tasks, and reference solutions.</li><li>Review statistical analyses, machine learning workflows, and experimental methodologies for accuracy and rigor.</li><li>Identify flawed assumptions, methodological errors, statistical mistakes, and weaknesses in quantitative reasoning.</li><li>Assess the quality, correctness, and completeness of analytical solutions.</li><li>Provide structured feedback and detailed explanations to support model improvement.</li><li>Develop realistic scenarios involving data analysis, predictive modeling, experimentation, and statistical inference.</li><li>Document findings and recommendations clearly and accurately.</li><li>Contribute domain expertise to improve AI performance across quantitative disciplines.</li></ul>Required Qualifications<ul><li>Strong expertise in data science, statistics, machine learning, analytics, or a related quantitative field.</li><li>Proficiency in Python and common data science libraries such as Pandas, NumPy, Scikit-learn, or similar tools.</li><li>Strong understanding of statistical analysis, hypothesis testing, experimentation, and data modeling.</li><li>Experience working with large datasets and quantitative problem-solving.</li><li>Ability to identify methodological weaknesses and analytical errors.</li><li>Excellent written communication skills for explaining technical concepts clearly.</li><li>Strong analytical thinking and attention to detail.</li><li>Ability to work independently in a remote environment.</li></ul>Preferred Qualifications<ul><li>At least one year of experience working at a leading technology, finance, research, or data-driven organization.</li><li>Experience in machine learning model development, experimentation, or quantitative research.</li><li>Background in predictive analytics, statistical modeling, causal inference, or applied machine learning.</li><li>Experience designing experiments and evaluating model performance.</li><li>Familiarity with AI systems, model evaluation, or data-centric AI workflows.</li><li>Based in an English-speaking country.</li><li>Strong ability to communicate complex quantitative concepts to technical and non-technical audiences.</li></ul>Compensation<ul><li>$245&#x2013;$280/hour</li><li>Remote contract engagement</li><li>Flexible schedule</li><li>Project-based work</li></ul>Additional Details<ul><li>Fully remote opportunity.</li><li>100 openings available.</li><li>Flexible workload with no fixed schedule.</li><li>Applications reviewed on a rolling basis.</li><li>No prior AI experience required.</li><li>Work focuses on evaluating and improving AI capabilities in statistics, machine learning, experimentation, and quantitative reasoning.</li></ul>

Data Scientist (Remote | $245–$280/hr)

Junior Data Scientists, Quantitative Analysts &amp; Machine Learning Researchers. Remote AI Project We are seeking experienced Data Scientists, Quantitative Analysts, Machine Learning Researchers, and Statistical Modeling Professionals to contribute to a remote AI project focused on statistics, machine learning, experimentation, and quantitative reasoning. You will evaluate AI-generated solutions to technical and quantitative problems, identify flawed methodology, create challenging prompts and datasets, develop reference solutions, and provide structured feedback that improves model performance. What You&#x2019;ll Do <ul><li>Evaluate AI-generated responses across data science, statistics, machine learning, experimentation, and quantitative analysis. </li><li>Identify incorrect assumptions, statistical errors, flawed methodology, weak experimental design, and unsupported conclusions. </li><li>Create challenging expert-level prompts based on realistic analytical and quantitative problems. </li><li>Build or review datasets used to evaluate model performance. </li><li>Develop reference solutions that demonstrate correct methodology and reasoning. </li><li>Assess whether analytical approaches are statistically sound, reproducible, and appropriate for the problem. </li><li>Review model reasoning related to experimentation, causal inference, forecasting, predictive modeling, and data interpretation. </li><li>Evaluate code and analytical workflows when relevant. </li><li>Provide structured technical feedback explaining why an approach is correct or incorrect. </li><li>Help refine evaluation criteria and improve the difficulty and quality of quantitative tasks.</li></ul> Who Can Apply Relevant backgrounds include Data Scientists, Senior Data Analysts, Junior Data Scientists, Associate Data Scientists, Quantitative Analysts, Quantitative Researchers, and Applied Scientists. We also welcome Machine Learning Scientists, Machine Learning Engineers, Research Scientists, and Applied Machine Learning Researchers with strong quantitative foundations. Statistics backgrounds may include Statisticians, Applied Statisticians, Biostatisticians, Statistical Analysts, and Statistical Modeling Specialists. Experimentation backgrounds may include Experimentation Scientists, Product Data Scientists, Decision Scientists, Causal Inference Specialists, and A/B Testing Experts. Finance backgrounds may include Quantitative Researchers, Quantitative Strategists, Financial Data Scientists, Risk Modelers, and Quantitative Finance Professionals. Additional relevant backgrounds include Econometricians, Operations Research Scientists, Analytics Scientists, Research Analysts, and Computational Researchers with strong statistical expertise. Requirements <ul><li>At least one year of professional experience in data science, quantitative analysis, statistics, machine learning, finance, research, or a closely related field. </li><li>At least part of that experience must have occurred within the past three years. </li><li>Strong foundation in statistics, probability, and quantitative reasoning. </li><li>Experience analyzing real-world datasets and interpreting results. </li><li>Ability to identify flawed methodology and statistical errors. </li><li>Strong understanding of experimentation or model evaluation principles. </li><li>Working knowledge of Python, R, SQL, or comparable quantitative tools. </li><li>Strong analytical and problem-solving skills. </li><li>Ability to communicate technical and statistical concepts clearly in writing. </li><li>Comfortable working independently in a remote environment.</li></ul> Preferred Background <ul><li>Professional experience at a leading technology company, financial institution, research organization, or quantitatively rigorous company. </li><li>Experience in product data science, experimentation, quantitative research, applied machine learning, statistics, or analytics. </li><li>Experience designing or reviewing A/B tests, predictive models, or quantitative research. </li><li>Experience with causal inference, forecasting, recommendation systems, risk modeling, or optimization is valuable. </li><li>Experience reviewing technical analyses, research reports, or model outputs for methodological quality. </li><li>Experience creating technical assessments, analytical case studies, interview problems, or quantitative benchmarks is helpful. </li></ul> This opportunity is ideal for quantitative professionals who can look at a statistical or machine learning problem, identify whether the methodology is genuinely sound, catch subtle errors in assumptions or evaluation, build a rigorous reference solution, and clearly explain why one analytical approach is stronger than another. We are a referral partner of the client

Junior Data Scientist | $170/hr | Remote

Senior Data Scientist (Remote | $245–$280/hr)

Investment Banking Internship - WSO Global Talent ProgramOur Global Talent Program offers an unparalleled opportunity to gain hands-on experience and build a formidable resume through an immersive, 10-week virtual internship. We are actively screening thousands of top students globally to identify future finance leaders. This highly selective program is offered in partnership with leading boutique investment banks in key markets, including the US, UK, APAC, Europe, and MENA. Only two students are selected per quarter for this off-cycle, ongoing program, ensuring a focused and high-impact experience for our interns per geographic region. What You&apos;ll Gain:<ul><li>Intensive Financial Training (Weeks 1-2): The internship kicks off with two weeks of rigorous, in-house virtual training led by industry experts. You&apos;ll gain a strong foundation in core investment banking skills, including:</li><li>3-Statement Financial Modeling</li><li>Discounted Cash Flow (DCF) Analysis</li><li>Trading Comparables (Comps)</li><li>Precedent Transactions</li><li>Advanced Excel &amp; PowerPoint techniques</li><li>Industry Research &amp; Sourcing Strategies</li></ul> Real-World Experience (Weeks 3-10): Following successful completion of the initial training and assessments, you&apos;ll be introduced to a Managing Director or Partner at one of our boutique investment bank partners. For the next eight weeks, you&apos;ll work directly on live projects, providing invaluable support with:<ul><li>Pitch Book Development</li><li>Valuation Analysis (Comps, DCFs)</li><li>Financial Modeling</li><li>Sourcing &amp; Due Diligence</li><li>Industry and Company Research</li><li>And other critical tasks to support ongoing deals.</li></ul> Mentorship &amp; Feedback: Our partner firms are committed to providing a structured learning environment with a minimum of one 30-minute weekly call for deliverables, feedback, and guidance. This ensures you&apos;re actively engaged and continuously developing. This is an unpaid internship designed for high-potential students seeking practical experience and a significant resume boost. The value lies in the rigorous training, direct exposure to real investment banking work, and the mentorship from experienced professionals. Who We&apos;re Looking For:This program is ideal for highly motivated 1st year and 2nd year students (not limited to) who are eager to get a head start in investment banking and build a compelling CV. We seek candidates who are hungry, quick learners, and committed to excelling in a fast-paced environment. How to Apply:Get your application in now! If selected, you will be invited to complete a short assessment. Top candidates from this assessment will move forward to the intensive training phase.This is your chance to gain an unparalleled edge in your finance career. We look forward to reviewing your application!

Remote Data Analysis jobs

Companies hiring for Data Analysis

Other categories

Remote Data Analysis jobs

Companies hiring for Data Analysis

Related searches

Other categories