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Quantitative Analytics Senior Jobs

288 active opportunities · Updated for October 2026

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Explore current quantitative analytics senior jobs. Use filters to narrow by work mode, employment type, experience and date posted.

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Scale AI
📍 San Francisco• Full-time
16 days ago

We are building the Finance team to help make data-driven and financially sound decisions for Scale. The team is responsible for improving strategic, financial, and operational decisions by partnering with the leadership team in making critical decisions across Scale. The Corporate Finance team is responsible for owning the company’s budget, helping to drive monthly forecasts and annual planning processes, allocating and deploying the company’s resources efficiently, and performing financial analyses in partnership with all departments. As AI reshapes the competitive landscape, Corporate Finance sits at the center of decisions about where Scale invests, how quickly we scale, and which bets we make. You will have a unique opportunity to work closely with department heads on real-time, high-priority business issues and use quantitative insights to drive better decision making across Scale. The ideal candidate will not only have the technical skills to support their recommendations but also strong interpersonal skills to manage various stakeholders. What You’ll Do Provide analysis to support short and long-term decisions regarding workforce planning across the company. Own tools (such as the company's workforce planning system, TeamOhana) to automate and streamline reporting and headcount processes Partner cross-functionally with HR, Recruiting, Compensation, and Analytics teams to drive scalable analyses and insights. Define and maintain KPIs to measure impact on strategic initiatives and resource allocation. Manage the development, implementation, and administration of our financial forecasting system (Pigment) Partner with finance and accounting to drive process improvements (e.g. month-end close and reporting) Implement enhancements to forecasting tools, processes, and reporting deliverables that reduce manual work and improve data integration Support management, Board business, and financial planning, including presentations and key analysis requests Help execute

awsrestai
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DU
16 days ago

About the Team Our US Marketplace team is responsible for growing the DoorDash business in the US, helping customers to discover & order what’s best in their city, merchants to grow their sales, and dashers to find flexible work. About the Role The US Marketplace team is looking for a motivated and hands-on operator to be the Director of Local Markets. As a Strategy & Operations Director, you’ll be responsible for driving marketplace growth in every U.S. market, across a variety of market types. You will report into the Growth and Markets team, leading cross-functional collaboration between DoorDash’s marketing, sales, product, finance, and analytics teams to deliver new products and service level improvements to drive local market growth. You'll have the opportunity to help define new ways to grow locally, incubate 0-1 experiments, scope partnership opportunities, foster relationships with external partners, and execute on a roadmap to grow the marketplace at the local level. You're excited about this opportunity because you will… Lead - From day one you’ll lead a team, helping the team to further develop the muscle of lowest level of detail analyses and execution rigor Business development - Develop relationships with new growth partners and top merchants Influence - Work cross-functionally across the US Marketplace Organization to help craft roadmaps, secure investment, and partner with other organizations to improve the user experience at local level Build – Explore growth opportunities alongside our partners in Product, Marketing, Analytics, Engineering, and Operations teams Analyze – Shape and define our strategy based on quantitative and qualitative data, querying data directly and empowering yourself with AI tooling (Cursor, Claude) Operate – Figure out how to get from A to B–then actually make it happen. Grow – Help the business get 1% better every day. We're excited about you because… You have 10+ years of experience in strategy &

sqlawsgit
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O
OpenAI
📍 San Francisco• Full-time
1mo ago

About the Team OpenAI’s Financial Engineering (FinEng) team powers how revenue flows through our products—pricing & packaging, checkout, payments, subscriptions, and the financial infrastructure behind them. We partner with Product, Engineering, Risk, Finance, and Go-to-Market to make paying for OpenAI products seamless, reliable, and efficient worldwide. About the Role As a Data Scientist on FinEng, you’ll own the analytics and experimentation that improve our checkout and payments , subscriptions , and pricing & monetization systems. You’ll define the metrics that matter, build the source-of-truth data assets, and design experiments that increase conversion, reduce churn and payment failures, and expand global payment method coverage. Your work will directly influence revenue, customer experience, and how we scale internationally. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will Own checkout & payments analytics and experimentation across methods and locales (e.g., bank transfers, emerging rails), improving conversion while monitoring risk and latency. Build and run the experimentation program for in-house checkout—define success metrics and guardrails, execute staged rollouts, and use offline incrementality when online tests aren’t feasible. Create operational visibility and source-of-truth data with FinEng Data Engineering—land team-level metrics, SLAs, and self-serve dashboards that drive proactive action. Lead subscription, retention, and monetization analytics—ship launch-readiness for new subscription features, reduce involuntary churn (e.g., targeted retrials/nudges), and develop elasticity/FX frameworks toward pricing optimality. You might thrive in this role if you have 5+ years in a quantitative role (data science, product analytics, or experimentation) in high-growth or fintech environments Fluency in SQL and Python ,

pythonsqlaws
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PE
1mo ago

Title: Manager/Sr. Manager - VOC Research About Us: Paytm is India's leading digital payments and financial services company. Our platform offers a wide range of payment solutions to consumers and merchants, including utility payments, money transfers, and Paytm Payment Instruments (PPI) such as Paytm Wallet, Paytm UPI, and Paytm Payments Bank Net-Banking. We also provide merchant services, advertising, and a Mini app store. With a focus on growth and engagement, we leverage data science to drive sustainable success. We offer credit services sourced from financial partners to further support merchants. About the Role:We are looking for a customer-centric and execution-oriented VOC Research Executive to support user research and voice-of-customer initiatives for Paytm Money. The role involves conducting qualitative and quantitative research, managing research operations, and generating actionable insights to improve user experience and business outcomes. ResponsibilitiesManage and maintain focus groups across different investor and trader cohorts for qualitative and quantitative research initiatives. Conduct research with internal and external users to derive actionable insights for business and product teams. Coordinate research operations including vendor payments, user incentive distribution, and participant management. Build detailed user personas across various cohorts such as scalpers, swing traders, and long-term investors. Develop and maintain a knowledge base capturing investor and trader behavior patterns on the platform. Support business and product teams with insights across acquisition, activation, retention, and reactivation journeys. Prepare research summaries, reports, and presentations with clear recommendations. Work closely with cross-functional stakeholders to ensure smooth execution of VOC initiatives. Expectations/ Requirements: Minimum 2 years of Research and Analytics, with Stock Broking Industry experience. Strong communication

reactgitai
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PE
1mo ago

Title: AM/DM - VOC Research About Us: Paytm is India's leading digital payments and financial services company. Our platform offers a wide range of payment solutions to consumers and merchants, including utility payments, money transfers, and Paytm Payment Instruments (PPI) such as Paytm Wallet, Paytm UPI, and Paytm Payments Bank Net-Banking. We also provide merchant services, advertising, and a Mini app store. With a focus on growth and engagement, we leverage data science to drive sustainable success. We offer credit services sourced from financial partners to further support merchants. About the Role: We are looking for a customer-centric and execution-oriented VOC Research Executive to support user research and voice-of-customer initiatives for Paytm Money. The role involves conducting qualitative and quantitative research, managing research operations, and generating actionable insights to improve user experience and business outcomes. Responsibilities: Manage and maintain focus groups across different investor and trader cohorts for qualitative and quantitative research initiatives. Conduct research with internal and external users to derive actionable insights for business and product teams. Coordinate research operations including vendor payments, user incentive distribution, and participant management. Build detailed user personas across various cohorts such as scalpers, swing traders, and long-term investors. Develop and maintain a knowledge base capturing investor and trader behavior patterns on the platform. Support business and product teams with insights across acquisition, activation, retention, and reactivation journeys. Prepare research summaries, reports, and presentations with clear recommendations. Work closely with cross-functional stakeholders to ensure smooth execution of VOC initiatives. Expectations/ Requirements: Minimum 4 years of Research and Analytics, with Stock Broking Industry experience. Strong communication and stakeholder m

reactgitai
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P
16 days ago

JOB TITLE Software Engineer, Controller’s Technology A CAREER WITH POINT72’S TECHNOLOGY TEAM As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. WHAT YOU’LL DO As a software engineer on the Controller’s Technology team, you will use your programming expertise to design, develop, and support ETL, data warehouse, process flow, PnL validation and adjustment tools, and PnL reporting framework to modernize the PnL reporting platform and streamline the business process. Build analytical tools on a next generation technology platform to facilitate understanding of performance for Firm management and portfolio managers as well the reporting requirements of our Finance, Operations, Audit, and Technology functions. Develop quantitative understanding of PnL process and data flow to anticipate new requirements Innovate and improve our capabilities to deliver high quality products to our business partners Solving complex and challenging problems through the application of creative and unique solutions using the latest technology WHAT’S REQUIRED Strong data engineering, analytics, ETL and reconciliation skills using T-SQL, Python, Airflow etc. Bachelor’s in computer science, or related technical field with 5 years of programming experience End-to-end system design, development, support, and user coordination experience Strong development skills using Python, or C#. Strong data visualization skills using JS/React etc. A plus to have prior experience in financial industry working with Risk, valuation

pythonreactsql
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O
Okta
📍 Bellevue• Full-time• From $134K/yr
1mo ago

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Okta’s Go-To-Market (GTM) Compensation Strategy and Incentive Design team plays a critical role in the development and implementation of variable incentive compensation designs across all GTM functions. The team is responsible for driving the compensation plan design, implementation, and assessment of variable pay participants across Okta while delivering compensation plans that ensure alignment with the overall goals and objectives of the GTM organization. In this Individual Contributor role, you will drive strategic compensation initiatives by developing data-driven recommendations aligned with business objectives, influencing cross-functional leadership, and building consensus on complex compensation architecture decisions. You'll lead compensation plan design and optimization across various Go-To-Market functions - ensuring incentives are strategically aligned with role responsibilities and organizational goals. You will establish robust metrics and analytics frameworks to track compensation plan performance, measure ROI, and identify opportunities for continuous improvement using quantitative analysis and business intelligence. Balancing strategic vision with operational rigor, you'll translate high-level business objectives into executable compensation plans while ensuring systems, processes, and analytics support accurate tracking and meaningful insights. Collaborating closely with cross-functional teams, you will own operational excelle

awsrestagile
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Replit
📍 Foster City• Full-time
1mo ago

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role: Replit is the fastest way to turn ideas into software. With our powerful AI-powered Agent and Assistant, anyone can create and launch apps from natural language in just one click. Build and deploy full-stack applications directly from your browser—no setup required. Never written a line of code in your life? No problem. Replit makes software creation accessible, collaborative, and lightning-fast. Join us in our mission to empower the next generation of builders. We are seeking a Strategic Finance professional to join Replit's growing team in Foster City, CA. In this critical role, you'll work in a lean team supporting high-impact strategic and operational initiatives across the business to drive data-driven decision making. You’ll partner directly with executive leadership and the Board to align financial strategies with our ambitious growth objectives. This role reports to the Head of Finance. Roles & Responsibilities: You'll contribute to critical projects across three main core areas: Internal Strategic & Operational Initiatives Cross-Functional Partnership: Partner with Sales, Marketing, Support, Product, and Engineering teams to build financial models and analyses that drive organizational decision-making New product launches: Build and present financial models, business cases, and investment analyses for new product launches GTM Finance: Partner with go-to-market leadership to drive growth through sales capacity planning, funnel and pipeline analytics, pricing strategy and resource allocation Pricing & Packaging: Analyze pricing and packaging strategies using quantitative and qualitative frameworks to recommend optimal approaches Unit Economics: Recommend strategies that balance growth

pythonsqlai
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S
Sofi
📍 San Francisco• Full-time
1mo ago

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. SoFi’s Credit team manages credit risk activities for our lending products (Student Loan Refinance, Private Student Loan, Personal Loan, Credit Card, and Mortgage) - including credit strategies/policies for new account origination and portfolio management, collections/recovery strategies and operations, and risk and operational data science and analytics. The team designs data-driven strategies to ensure the growth in lending is consistent with the company’s risk appetite and helps create the products and experiences that put our members’ interests first. The Credit Strategy Lead will work in the Credit team and have responsibilities to analyze and evaluate data to develop and propose value-added credit risk strategies and models for SoFi’s lending products, including Personal Loan, Student Loan Refinance, Private Student Loan, and Credit Card. The Credit Strategy Lead will collaborate with cross-functional teams such as Business Units, Capital Markets, Product and Engineering, and use business knowledge and quantitative and analytical skills to drive revenue, control risk, and provide value to the company and consumers. The ideal candidate will possess a data-driven analytics background and the strategic acumen to direct a function that draws strategic insights from data using database and statistical anal

pythonsqlaws
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Pinterest
📍 United States• Full-time• Remote• From $164.7K/yr
1mo ago

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . We are looking for a Staff Data Scientist for our Ads Delivery. You will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world. What you’ll do: Develop a deep, nuanced understanding of the Pinter

REMOTEpythonsqlaws
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P
Pinterest
📍 United States• Full-time• Remote• From $139.8K/yr
1mo ago

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . As a Data Scientist in our Core organization, you will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world. What you’ll do: Develop best practices for instrumentation and experimentation and co

REMOTEpythonsqlaws
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OpenAI
📍 San Francisco• Full-time
1mo ago

About the Team The Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem. We are dedicated to identifying emerging abuse trends, analyzing risks, and working with our internal and external partners to implement effective mitigation strategies to protect against misuse. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits humanity. The Strategic Intelligence & Analysis (SIA) team provides safety intelligence for OpenAI’s products by monitoring, analyzing, and forecasting real-world abuse, geopolitical risks, and strategic threats. Our work informs safety mitigations, product decisions, and partnerships, ensuring OpenAI’s tools are deployed securely and responsibly across critical sectors. About the Role As a Quantitative Intelligence Analyst , you will focus on discovering novel and emerging risks in complex human–AI systems before they are well-defined, measurable, or widely understood. You will use deep subject matter expertise and quantitative tooling to surface weak, early, and unconventional risk signals. You will build analytic models that explain how harms could emerge and translate ambiguous patterns into structured, data-driven insight. Your work will help identify potential gaps in policy or coverage and operationalize previously unmeasured problems into signals that can support detection, mitigation, and planning downstream. You will develop analytical frameworks that map how new risks form, evolve, and propagate as products change, policies shift, and external events unfold. Your analyses will directly inform strategic risk prioritization and planning across the company, with regular visibility through strategic risk products. This role is based in office (hybrid, 3 days/week). Relocation support is available In this role, you will: Discover and define new quantitative risk signals where no established metrics exist, using subject matter exp

pythonsqlaws
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At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview Multifamily Capital Markets is seeking an exceptionally curious, analytical, and driven professional to help identify, prioritize, and deliver the initiatives that can most improve the business. This is a rare opportunity to develop a broad view across the Multifamily Capital Markets organization, including loan pricing, pipeline risk management, portfolio management, securitization, credit-risk transfer, operations, and technology. You will work directly with a Capital Markets leader who brings deep Multifamily expertise, extensive Wall Street markets and product experience, and a track record of developing innovative solutions to complex financial problems. Together, you will examine how the business operates, identify its highest-impact opportunities, challenge existing assumptions, and develop solutions from first principles. This is a hands-on role combining original problem-solving, quantitative analysis, and end-to-end initiative delivery. You will research unfamiliar topics; analyze financial, market, and operational data; build analytical models and lightweight Python prototypes; test hypotheses; frame business questions; and develop fact-based recommendations. You will write the memos and presentations that move decisions forward, document conclusions and requirements, coordinate contributors, maintain project plans and follow-ups, and drive multiple initiatives through organizational and technical roadblocks from initial idea through implementation. This role is designed for someone who enjoys learning unfamiliar topics, solving difficult problems, and taking ownership of outco

pythonsqlExcel
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S
Stripe
📍 Nyc• Full-time
1mo ago

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the Team The Account Management team at Bridge is dedicated to the growth, retention, and expansion of key customers. Our Scaled Account Management team focuses on driving measurable expansion across a broad portfolio of mid-market and high-growth customers through data-driven strategies, efficient processes, and strong cross-functional partnership. What You'll Do As a Scaled Account Manager at Bridge you will own a book of existing accounts and be responsible for expanding revenue, identifying product gaps and driving product adoption, preventing churn and ensuring renewals at scale. You will combine consultative selling with volume playbooks, prioritization based on quantitative signals, and hands-on execution to identify and close upsell opportunities across your territory. As Bridge continues to develop within Stripe’s Money Management organization, you will also drive your customers’ adoption of additional features available through Stripe. Responsibilities - Own a book of existing accounts and drive revenue growth through additional usage, upsells, cross-sells, and renewals. - Develop and execute scalable go-to-market strategies that increase revenue per account and accelerate product adoption across your portfolio. - Use data and quantitative analysis to prioritize accounts and identify the highest-impact expansion opportunities. - Generate leads through targeted outreach, research, and campaign execution; manage high-v

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