Financial Analytics Professional in United States

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Roblox is seeking a Strategic Financial Analyst, Revenue to own core forecasting models and margin analytics across COGS, tax, and pricing. Reporting to the Finance Manager, Revenue, this role will be responsible for the integrity and evolution of our platform bookings and cost forecasting frameworks. You will operate at the intersection of Finance, Tax, Payments, Accounting, and Data to ensure that pricing, tax exposure, and platform cost dynamics are accurately modeled, reported, and embedded in planning processes. This role provides deep exposure to the full revenue funnel — including Bookings, COGS, and Developer Expense — and contributes to executive and board-level reporting. The ideal candidate combines analytical rigor with strong operational ownership, ensuring financial accuracy while translating complex margin dynamics into clear, actionable insight. You Will: Own the COGS forecast, budget, and platform bookings model, analyzing trends, delivering insights, and strategically partnering with key business teams who drive our provider mix and COGS rate assumptions. Drive pricing initiatives and recommendations, developing comprehensive knowledge of COGS and Tax impact to prici

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 ,

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. An Account Executive on our Majors team is one of Snowflake's most senior individual contributor sales roles. Our Account Executives are customer obsessed and we believe in the value we can add and stay honest about it. We love to learn, are open to giving and receiving feedback and are passionate about making our clients successful. Our team works to ensure data is accessible, usable and valuable to everyone. This role will be supporting our Financial Service division. YOU MAY BE A GOOD FIT FOR THE TEAM IF YOU: Act customer first and obsessed with helping customers drive digital transformation. Think big and demonstrate excellence in the application of technology to solve all kinds of problems. Possess a “Get it done” and “Own it” philosophy to drive customer success. Knowledge and experience within the data science, analytics, or big data markets. Feel comfortable talking with all levels of customer teams from individual contributors to C-level executives using language that appropriately translates complex technical and business information. IN THIS ROLE YOU WILL GET TO: Build trusted relationships with Snowflake internal resources, external partners, and client account teams to qualify deals, identify business value, and provide technical guidance in order to set proper

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Senior Principal, Competitive Intelligence will report to the Director, Product & Performance within Strategic Finance & Analytics. Airbnb is looking for a unique individual that can blend art and science to evaluate our evolving competitive landscape. This team is responsible for understanding the market across geographics and product offerings, building evaluation criteria and metrics, and delivering clear insights to leaders across the company. The Difference You Will Make: The individual will serve as the company's go-to authority on the competitive landscape, including current and future competitors, adjacent marketplaces, the travel industry at large and macroeconomic trends. They will partner with technical and business operating teams to synthesize competitive signals into clear, actionable narratives that inform executive decision-making at the highest levels of the company. The ideal candidate brings a combination of sharp analytical instincts, business acumen, and the ability to distill complex information into crisp executive-ready stories. They are a self-starter who is comfortable operating with ambiguity, thrives in a fast-paced environment, and relishes the opportunity to own a critical capability from end to end. This person will have a high degree of visibility with senior leadership, including Executive and VP leaders across Finance, Product, Marketing and Business functions. A Typical Day: Competitive Monitoring: Develop and manage regular reporting to review key metrics across marketplace and product; track developing news and indus

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As a Senior Data Analyst on the Finance team, you’ll play a pivotal role in uncovering the insights that shape company-wide planning, forecasting, and strategic decision-making. This high-impact role blends analytical rigor, technical fluency, and business acumen to steer strategy and identify opportunities for scalable growth. The Finance Data team partners with both Finance and other teams across Vanta. You’ll collaborate closely with stakeholders to build trust and deliver data-driven recommendations; your work will influence everything from operating plans and investment decisions to self-serve reporting and process automation. This is a unique opportunity to deepen your analytics expertise in a dynamic, high-growth environment, with visibility into executive-level priorities and the ability to shape them with data. What you’ll do as a Senior Data Analyst at Vanta: Deliver strategic insights by conducting deep, prioritized analyses that inform high-impact financial decisions. Act as a technical partner to teams across FP&A, Accounting, RevOps, Product, Marketing, and more. Increase team efficiency by automating recurring deliverables and helping scale workflows as the company grows. Empower decision-makers with self-service dashboards and data assets that surface trends and drive informed choices across the business. Advance our analytics infrastructure by partnering with Data Engineering and other analytics teams to democratize access to high quality data and insights. How to be successful in this role: Experience: 4+ years of experience in data analysis or equivalent function. Exposure to FP&A, Accounting, or SaaS

About the Company Sigmoid enables business transformation using data and analytics, leveraging real-time insights to make accurate and fast business decisions, by building modern data architectures using cloud and open source. Some of the world’s largest data producers engage with Sigmoid to solve complex business problems. Sigmoid brings deep expertise in data engineering, predictive analytics, artificial intelligence, and DataOps. Sigmoid has been recognized as one of the fastest growing technology companies in North America, 2021, by Financial Times, Inc. 5000, and Deloitte Technology Fast 500. Job Description As an Account leader you will be responsible for ensuring customer success and growth in Fortune 1000 companies working with Sigmoid. A maverick self-starter, you understand brand building, how to sell innovation, drive deals forward and compress decision cycles. You will play a key role in driving our business to great heights, and drive our revenue growth in parallel. We're looking for a passionate farming growth hacker with a track record of proven success in Data Solutions selling in Fortune 1000. Prior experience in Analytics, Data Science & Big Data will be an added advantage. Job Responsibilities As an Account leader, you will have the opportunity to work on major business initiatives that contribute to Sigmoid’s growth and productivity objectives. In this role, you will have the responsibility of managing multiple account management strategy implementation assignments supporting the Account Management function and will work directly with the business, IT and strategy teams in catering to the end-to-end business needs. Essential Responsibilities Manage account management strategy implementation and validation. Effective communication and presentation ability. Ability to work as in a team as well as contributing as an individual. Lead and provide a road map for account. Able to establish priorities and coordinate work. Evaluate, scrutinize and str

Become a part of our caring community The Actuarial Analyst 2, Analytics/Forecasting analyzes and forecasts financial data to provide accurate and timely information for strategic and operational decisions. Establishes metrics, provides data analyses, and works directly to support business intelligence. Your work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action. The Actuarial Analyst 2, Analytics/Forecasting will report to the Actuary, Analytics/Forecasting. You will play a key role in the Medicare actuarial forecasting process. This position entails the maintenance of the provider revenue and expense projection model and associated tools supporting the projection model. The Actuarial Analyst 2, will be responsible for integrating value-based provider impacts into financial and bid forecasts, managing tools associated with these impacts, and providing guidance on effective risk modeling practices. The Actuarial Analyst 2, Analytics/Forecasting ensures data integrity by developing and executing necessary processes and controls around the flow of data. You will collaborate with stakeholders to understand business needs/issues, troubleshoots problems, conduct root cause analysis, and develop cost effective resolutions for data anomalies. You will understand department, segment, and organizational strategy and operating objectives, including their linkages to related areas. You will make decisions regarding own work methods, occasionally in ambiguous situations, and require minimal direction and receives guidance where needed. You will follow established guidelines/procedures. Use your skills to make an impact Required Qualifications Bachelor's Degree Successful completion of at least 3 actuarial exams<

Lithic is the modern card issuing and processing platform empowering ambitious financial companies to build the future of payments. Our infrastructure powers card programs for 100+ innovative clients, from fintechs reimagining credit and digital banking to platforms transforming disbursements and spend management. Companies like Mercury, Flex, and Novo rely on Lithic's developer-friendly APIs, direct network connections, and flawless reconciliation to launch and scale card programs in weeks, not years. We're building a future where access to better financial products materially improves people's lives, free from the constraints of 30-year-old mainframes and legacy processors. We're proud to be backed by world-class investors who share that vision, including Bessemer Venture Partners, Index Ventures, Spark Capital, Stripes, and Mastercard, along with many others. We're a team of 170+ across 26 states and 7 countries, headquartered in New York City. Lithic's Treasury Operations team owns the movement of money across our card issuing infrastructure — network settlement, sponsor bank transfers, and the reconciliation that keeps it all provable. This is a hands-on, high-ownership role for someone who wants to learn the inner workings of payments and fintech infrastructure, not just observe them from a reporting layer. You'll be running a critical, time-sensitive engine every day — and at the same time, working alongside the Head of Treasury Operations to improve how that engine works as the function scales. You’ll also work cross-functionally across a wide range of teams (Finance, Treasury Engineering, Risk, Analytics, Processing, Customer Success, Bank Operations) — this role sits at the center of a lot of different workflows, not off in a silo. What You'll Do Execution (50%) Own day-to-day execution of network settlement transfers (Mastercard, Visa) and related treasury transfers across sponsor banks Operate in a time-sensitive environment where errors or d

Become a part of our caring community The Actuarial Analyst 2, Analytics/Forecasting supports value-based initiatives within the HealthCare Economics team, partnering across actuarial, finance, analytics, and business teams to develop actionable financial insights and forecasting solutions. This role will play a key part in the design and development of a holistic modeling solution, building new methodologies and frameworks from the ground up to support performance measurement, financial reconciliation, and strategic decision-making across multiple value-based care programs. You work assignments are varied and frequently require interpretation of complex business issues, independent judgment, and the ability to recommend and execute appropriate courses of action with limited guidance. The Actuarial Analyst 2, Analytics/Forecasting will be responsible for analyzing and forecasting claims and revenue trends, developing innovative forecasting methodologies, and translating complex business requirements into scalable analytical solutions. This individual must be able to independently evaluate data, identify gaps, propose holistic approaches, and develop end-to-end solutions that integrate financial, operational, and claims-based insights. Responsibilities include designing forecasting methodologies, establishing reporting metrics, validating model results, and supporting the evolution of value-based care analytics. You will understand department, segment, and organizational strategy and operating objectives, including their linkages to related areas. You will make decisions regarding own work methods, occasionally in ambiguous situations, and requires minimal direction and receives guidance where needed. Use your skills to make an impact Required Qualifications Bachelor's Degree Successful completion of

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. We are the Data team within Plaid’s Fraud organization. We build the machine learning systems that power Plaid’s fraud detection products, leveraging Plaid’s network data to help identify and prevent fraud before it happens. Our team owns the end-to-end ML lifecycle, from feature pipelines and model training to production serving and monitoring, ensuring our systems are reliable, scalable, and built to support hundreds of customers and data partners. As a Data Scientist on the Fraud Data team, you will analyze customer and network traffic to understand how Plaid Protect performs across a range of use cases and customer segments. You’ll build dashboards and metrics that provide a clear, shared view of product performance, run backtests to evaluate performance and identify high-impact rules and model strategies, and generate insights that support customer growth and expansion. You’ll also design scalable data models and schemas to enable reliable analysis and reporting, while partnering closely with Product and Engineering to design and analyze experiments for new customer-facing features. Responsibilities: Work at the intersection of product analytics, machine learning, and fraud a

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Senior Data Scientist - Network Value (Credit) The Network Value Data Science team is helping Plaid build an industry-leading fintech consumer network with best-in-class products and user experiences. We are a product analytics team embedded in key product areas across Plaid. We support some of Plaid’s most important OKRs and help execute on product roadmaps. We translate ambiguous product questions into tractable analysis, serve as analytical thought partners throughout the org, identify opportunities to build better products, and champion a data-first decision-making approach everywhere we go. You’ll be a Data Scientist supporting Credit, a critical product area within Plaid’s Network Value portfolio. You’ll become a data and analytical thought partner to product managers, engineers, and cross-functional stakeholders, helping shape Credit product strategy, improve product performance and user experience, and grow Plaid’s consumer network. You’ll translate business questions into analytics projects, perform ad-hoc and strategic analysis, improve visibility into core systems through data modeling and dashboarding, create OKRs and KPIs tied to business goals and user experiences, a

Citibank, N.A. seeks a Project Management Lead for its Irving, Texas location. Duties: Manage end-to-end delivery of wholesale credit risk and climate risk initiatives, overseeing projects lifecycle from requirements intake through execution and implementation. Define and monitor project milestones, dependencies to ensure timely project delivery and resolution of emerging risks or constraints. Partner with model developers in order to streamline, consolidate and redevelop wholesale credit risk models. Support model validation, audit readiness and project success by maintaining comprehensive documentation, remediation trackers, and evidence repositories. Coordinate with technology partners to optimize model integration, leading efforts to embed Comprehensive Capital Analysis and Review (CCAR) and International Financial Reporting Standard 9 (IFRS9) models into the library system. A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite, in accordance with Citi policies and protocols. Requirements: Requires a Master’s degree, or foreign equivalent, in Finance, Business Analytics, or related field and 4 years of experience as a Project Manager, Financial Analyst, Accountant, or related position involving treasury and balance-sheet risk assessment, wholesale credit risk management and financial audit management. 4 years of experience must include: Risk management processes and frameworks in order to measure financial exposures under stress scenarios in model development; Understanding of control framework and regulatory expectations for model documentation, validation and periodic review; Project management including project structuring, development of timeline, implementation phases planning, resources allocation, identification of dependencies and bottlenecks, and escalation of issues; Data analysis and data quality assurance, including cleanliness of the data, completeness and accuracy, while ad

Director, Service Supply Chain Cost Optimization Description - The Director, Service Supply Chain Cost Optimization leads financial and operational management activities focused on cost optimization, business performance, and operational efficiency across a complex services and supply chain environment. This role translates financial and operational insights into strategic priorities, executive decision-making, and measurable business outcomes. The Director drives the modernization of cost management practices through advanced analytics, digital capabilities, and predictive decision support, enabling greater operational effectiveness and financial discipline. Key Responsibilities Lead business and financial planning processes, including forecasting, budgeting, performance reviews, and corrective action planning. Drive cost optimization initiatives and operational efficiency programs across the organization. Establish alignment among cross-functional stakeholders to ensure achievement of business, operational, and financial objectives. Develop and execute strategies that improve operational performance and reduce inefficiencies. Implement process improvements that enhance quality, productivity, and cost effectiveness. Modernize cost management practices through digital tools, advanced analytics, forecasting, and predictive insights. Utilize scenario planning, root-cause analysis, and risk assessment to address complex operational and supply chain challenges. Develop mitigation strategies and lead transformational initiatives that improve efficiency, cost performance, and business predictability. Exercise decision-making authority on key operational and administrative matters within the organization. Ensure effective execution of organizational and business objectives. L

Become a part of our caring community The Market Finance Lead is a key member of the Gulf South Region’s finance team responsible for connecting market financial performance with operational effectiveness. This role will partner closely with Corporate Finance, Network Performance, Network Contracting, and regional Health Services teams. This individual will manage a team covering a diverse set of responsibilities around Medicare Advantage financial business operations with a heavy focus on value-based providers. This role reports to the Market Finance Director. This role analyzes financial results, claims experience, utilization trends, contract performance, membership, and provider performance data to identify opportunities, influence business decisions, and support market growth and operational improvement. The Market Finance Lead will partner closely with regional leadership, actuarial, corporate finance, clinical, risk adjustment, market operations, network performance, network contracting, sales/MarketPoint, and value-based care providers. This individual will translate complex financial and operational data into meaningful insights, recommendations, and action plans that improve performance across the market. As the Market Finance Lead, you will: Manage a team to review value-based providers’ financial performance, membership, cost and utilization trends, contractual results, and opportunities for improvement. Lead the financial portion of provider engagement prep sessions prior to joint operating committee meetings to advise the Network Performance team on contract performance and opportunities for improvement. Lead analysis and reporting related to value-based provider and contract performance, including financial results, utilization, claims experience, membership, and operational trends. Leverage data analytics, business ins

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Fraud Data is the data science and machine learning team within Plaid’s Fraud organization, responsible for using data and ML to improve and scale Plaid’s fraud products. Within Fraud Data, the Customer & Product Intelligence team focuses on understanding product performance, uncovering customer insights, and enabling go-to-market teams with data-driven solutions. The team partners closely with customers and GTM teams on fraud analyses and proofs of concept, turning customer learnings into scalable, reusable product capabilities. We also build the metrics, analytics, and data foundations that measure product health, identify opportunities for improvement, and guide product decisions across Plaid’s Fraud portfolio. As a Data Science Manager, you will lead a team responsible for customer-facing data science and Fraud product analytics. You will set the team's roadmap, develop its data scientists, and remain involved in analytical methods, technical reviews, and customer investigations. You will: Set a 6–12-month roadmap with Product, Engineering, and GTM, and assign priorities and responsibilities across the team. Define product metrics, their underlying data, and reporting and