Financial Analytics Professional in United States

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. As the Manager of SOX and Internal Audit, you will have a key role in managing financial reporting risk across our fast-growing business. This is your moment to lead with impact and help transform the audit function by putting AI at its core. Join us in Santa Clara, CA, and be a member of a team dedicated to outstanding performance and careful implementation! What you'll be doing: Be responsible for the end-to-end SOX 404 lifecycle and for assigned business process areas, including design assessment, risk assessment, walkthroughs, test planning, control testing, and reporting to management. Partner with process owners to assess risks, determine the control response, and drive the resulting narratives, flowcharts, and control builds to completion. Promote the adoption of AI in the Internal audit and SOX function by applying AI and analytics to risk assessment, documentation, testing, sampling, and evidence review. Review risks and controls associated with AI-powered business processes, ensuring the deployed AI and automation are regulated and sufficiently monitored. Evaluate control deficiencies, quantify potential impact, conclude on severity, and drive remediation to clo

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Director, Finance Business Partner, A&CS Overview • Mastercard Services provides Consulting and Innovation Services, Insights & Analytics, Managed Services and more to customers around the world. These lines of business are supported by both Sales and Delivery organizations. • The Director will be part of the A&CS Global Finance Team and a strategic value added business partner to the A&CS Delivery team. He or she will provide vision, leadership and innovation while reporting and supporting short term and long term business and financial objectives. • The Director will be responsible for developing and managing relationships in a complex matrix organization with business partners at multiple career levels in the organization • Are you motivated to understand the complexity of a business unit and apply your learnings to identify insights, opportunities and risks, and partner with the Group Executive to achieve the business and financial goals? • Have you ever been part of a matrix global organization where your are the financial lead and driving force of the financials? • Do you enjoy mastering complex puzzles, where there are customers across the globe and you are responsible in understanding them and how they impact the P&L? Role • Planning & Analysis o Finance lead fo

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. About the Team At Embedded Insights, we find the best machine learning opportunities for external products and internal systems, and collaborate with cross-functional partners to bring them to life. We are a central team of Machine Learning Engineers and Data Scientists. We embed with partner teams to build and apply machine learning models that improve internal decision-making and power the Plaid product suite. About the Role You will be the first Data Scientist on the Embedded Insights team, part of Plaid’s Data organization. You will establish the analytics and metrics backbone for a team supporting a diverse set of internal and external products. You will help drive better decision-making, support machine learning model development, and contribute directly to the health of the Plaid network and the quality of Plaid’s products. Your day-to-day work will include: Analyzing entities across the Plaid network to understand behavior and identify opportunities, anomalies, and risks. Creating foundational metrics, dashboards, and monitoring systems that provide a clear view of network health and machine learning model performance. Evaluating the value and performance of machine learni

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. Making data-driven decisions is key to Plaid's culture. To support that, we need to scale our data systems while maintaining correct and complete data. We provide golden datasets and tooling to teams across engineering, product, and business and help them explore our data quickly and safely to get the data insights they need, which ultimately helps Plaid serve our customers more effectively. In addition, Plaid will not be successful if we can't move quickly. We build the data systems and tools that enable everyone at Plaid to be data-driven, making analytics easy, obvious, and proactive across the company. Data Engineers heavily leverage SQL and Python to build data workflows that integrate with our Golang applications. We use tools like DBT, Airflow, Redshift, Atlan, and Retool to orchestrate data pipelines and define workflows. We work with engineers, product managers, business intelligence, data analysts, and many other teams to build Plaid's data strategy and a data-first mindset. You will be in a high impact role that will directly enable business leaders to make faster and more informed business judgements based on the datasets you build. You will have the opportunity to car

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. At Freddie Mac, you will do important work to build a better housing finance system, and you’ll be part of a team helping to make homeownership and rental housing more accessible and affordable across the nation. We are accepting applications for this position until 10/16/2026 Position Overview: The Single-Family division at Freddie Mac is seeking creative, curious, and technology-minded college students for a Business Intern role. Interns will learn about the mortgage business while building foundational skills in business analysis, data analytics, process improvement, and emerging AI-enabled tools. Our Impact: Single-Family supports the housing market by providing liquidity, promoting responsible lending, and enabling sustainable homeownership Our team supports mortgage loan acquisition, securitization, servicing processes, and business tools that improve the borrower and lender experience We help integrate innovative applications, business capabilities, and AI-enabled tools that support Freddie Mac and our lenders We collaborate with financial institutions, investors, and technology teams to support effective business solutions Your Impact: You will support Single-Family teams through data analytics, product development, seller experience, process improvement, and emerging AI tools Responsibilities may include documenting processes, helping develop business requirements, supporting projects, performing research and analytics, and identifying process improvements You may create and present business insights

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, Washington D.C., London and Amsterdam. We lead complex technical programs that help Plaid scale its engineering platform. We partner across Engineering, Infrastructure, Data, Security, ML, Legal, and Product to deliver company-wide technical initiatives that improve reliability, scalability, and developer productivity. You'll lead strategic technical programs from planning through execution. You'll partner with engineering leaders to align stakeholders, manage dependencies, drive decisions, and ensure successful delivery of complex initiatives. You'll work across a variety of technical domains, adapting quickly to new challenges and helping teams execute effectively. As a Technical Program Manager, you will lead high-impact, cross-functional initiatives. As a generalist, you may work on a variety of programs. An example is one that strengthens Plaid's data and machine learning platforms. You will partner with engineering, product, data, legal, privacy, and business stakeholders to drive complex technical programs from planning through execution. Your work will help improve data governance, modernize machine learning infrastructure, and accelerate the adoption of trusted, high-quality datasets that power analytics, artificial intelligence

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, Washington D.C., London and Amsterdam. The Customer Growth & Experience (CGX) team owns the full customer lifecycle - from the moment a customer lands on plaid.com to their journey across onboarding, activation, adoption, and long-term success. Within CGX, the Growth team owns Plaid's highest-leverage revenue levers. We optimize the self-serve funnel from a customer's first onboarding step through go-live and scale, build the upsell motion that expands existing customers, partner with GTM to remove friction from the sales flow, and own the premium enterprise features that unlock our largest customers. We operate data-first, using funnel analytics and experimentation to find and prioritize the bets that move the business. As a Product Manager on the Growth team, you'll own one of Plaid's highest-leverage revenue surfaces: the self-serve funnel that takes customers from their first onboarding step through go-live and scale. You'll work to increase acquisition, reduce friction, and improve revenue efficiency across the SMB and long-tail base. You'll partner closely with the Web team, Engineering, Design, BI/DS, Marketing, and Sales to build the upsell motion that expands existing customers, whether served in-product or routed to GTM as

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, Washington D.C., London and Amsterdam. Making data-driven decisions is key to Plaid's culture. To support that, we need to scale our data systems while maintaining correct and complete data. We provide golden datasets and tooling to teams across engineering, product, and business and help them explore our data quickly and safely to get the data insights they need, which ultimately helps Plaid serve our customers more effectively. In addition, Plaid will not be successful if we can't move quickly. We build the data systems and tools that enable everyone at Plaid to be data-driven, making analytics easy, obvious, and proactive across the company. Data Engineers heavily leverage SQL and Python to build data workflows that integrate with our Golang applications. We use tools like DBT, Airflow, Redshift, Atlan, and Retool to orchestrate data pipelines and define workflows. We work with engineers, product managers, business intelligence, data analysts, and many other teams to build Plaid's data strategy and a data-first mindset. You will be in a high impact role that will directly enable business leaders to make faster and more informed business judgements based on the datasets you build. You will have the opportunity to carve out the ownershi

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, Washington D.C., London and Amsterdam. Senior Data Scientist - Network Value (Plaid App) 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 Senior Data Scientist supporting Plaid App, a critical user-facing product within Plaid’s Network Value portfolio. In this role, you’ll become a data and analytical thought partner to product managers and engineers, helping drive data-informed product development as the team launches and scales the product from 0 to 1. 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 metrics tied to business goals, and support feature ship decisions through experimenta

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 Our Product Managers imagine the ideal experience for our community and work backwards, creating innovative products that delight guests. They deeply understand user needs and translate these into strategies that combine strong product thinking with deep research. They partner with talented cross-functional teams across Engineering, Design, Analytics, Data Science, Finance, and Payments, leading teams to execute a shared vision. Critically, they work alongside platform product teams who build the underlying capabilities — knowing when to own, when to collaborate, and when to hand off. You will be joining the Wallet team, working closely with Payments, Design, Engineering, Finance, Analytics, Trust & Safety, and our broader Guest Experience organization to build the financial home for every Airbnb guest. The Difference You Will Make We are seeking an exceptional product marketing leader to define and build Wallet — Airbnb's new financial hub for guests. Wallet will transform how guests manage their financial relationship with Airbnb, bringing together payment methods, stored value, credits, and spending features into one trusted, engaging place that guests return to between trips — not just at checkout. You will drive the product vision and roadmap for Wallet end-to-end: from the core financial hub experience through to its integration with Payments and Checkout. The ideal candidate brings deep experience building consumer financial products, understands the payments ecosystem, and has the checkout and conversion instincts to reduce friction at the moment of booking. Success in th

About the Team The Finance & Supply Chain Engineering organization includes two complementary teams. Software Engineering builds internal full-stack applications, durable agentic workflows, plugins, MCPs, and measurable AI-enabled engineering practices. Data Engineering builds trusted analytics data assets for Finance and Supply Chain. The teams have distinct charters, with important shared dependencies and broad cross team partnerships across Engineering, Applications, Finance, and Supply Chain. About the Role We are looking for a hands-on senior technical leader who will report alongside the Software Engineering and Data Engineering managers. This is an individual-contributor role with no immediate people-management responsibility. The Tech Lead will raise the technical bar across both teams, participate in important cross-team or high-risk design decisions, and directly own and ship high-impact work. The role should improve team judgment and autonomy rather than act as a floating architect or universal approval gate. In this role, you will: Partner with the Software Engineering and Data Engineering managers as a peer technical leader; managers retain accountability for people, staffing, priorities, performance, and delivery commitments. Directly own the architecture, implementation, launch, and operation of one or more high-impact initiatives, remaining accountable for real outcomes rather than advisory output alone. Guide important design decisions that are cross-team, difficult to reverse, or material to security, financial controls, reliability, data quality, or long-term cost of ownership. Establish pragmatic engineering standards across architecture, APIs and data contracts, testing, security, reliability, observability, lineage, data quality, and operational ownership. Advance engineering standards for building with AI, including agentic workflows, evaluation, telemetry, adoption, and outcome measurement. Work across backend, full-stack, data, and big-d

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. About the Team The Finance Data Science team owns the forecasting systems that power Snowflake’s revenue planning and long-term financial strategy. Our work supports corporate planning, executive decision-making, and investor reporting, and we partner closely with Product and Sales to understand customer behavior and product impact. We operate at the intersection of machine learning, statistical research, and corporate finance, building production-grade forecasting infrastructure that is foundational to how the company plans and operates. The Role As a Senior Data Scientist, you will independently lead high-impact modeling initiatives and build production-ready forecasting systems for core financial metrics. You will work on complex, open-ended problems at the intersection of machine learning and business strategy, translating real-world financial questions into rigorous, scalable models. What You’ll Do Design and implement advanced time-series and probabilistic models (e.g., hierarchical models, state-space models, Bayesian approaches, multivariate forecasting). Contribute to internal tooling and shared infrastructure that enables scalable forecasting and analytics. Establish best practices for model evaluation, backtesting, uncertainty quantification, and scenario simulat

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Senior Manager, Marketing Operations and Strategy is responsible for ensuring marketing efforts are efficient, data-driven, and aligned with business goals through process optimization, technology management, and strategic planning. Key duties include managing budget and org health, leading org-wide annual planning process, managing quarterly reporting (QBRs), overseeing campaign execution and budget, and providing overall operations support to the marketing leadership team. Responsibilities: Strategic planning: Developing and implementing marketing strategies and plans to achieve business objectives, improve brand awareness, and build customer loyalty. Technology management: Evaluating, implementing, and managing the marketing technology stack (e.g., CRM, marketing automation platforms, CMS) and ensuring the team can effectively use these tools. Process optimization: Designing, streamlining, and refining marketing processes to improve productivity, efficiency, and cross-team collaboration. Budget management: Developing, managing, and monitoring the marketing budget, including tracking budget vs forecast, and providing financial reports to management in partnership with Finance. Data analysis and reporting: Working with Analytics to analyze marketing campaign performance data, generating reports for stakeholders, and providing data-driven insights and recommendations for improvement. Collaboration: Acting as a liaison between marketing and other departments to ensure alignment on goals and efforts. Building rapport with the Chief of Staff community and working with on cross-company initiatives and planning. Team support: Training and supporting marketing staff, and providing internal support and training on marketing platforms. Experience: 7+ years of experience in operations or

About the Team The Applied organization brings OpenAI’s most advanced technology to the world through products like ChatGPT and the APIs that power a growing ecosystem of developer and enterprise applications. Data Engineering builds and operates the trustworthy, secure, and reliable data systems that power decisions across OpenAI. About the Role We’re looking for a Data Engineering Manager to lead the Growth & Revenue data engineering team. This leader will own the data strategy and execution for the data subject areas spanning growth accounting across all product surfaces, product partnerships, checkout, billing, payments, revenue, and monetization, helping OpenAI understand how people adopt, engage with, and pay for our products. You will partner closely with several Data Science, Business, and Engineering partners to connect product behavior to trustworthy subscriber, payment, and revenue measurement. In this role, you will: Build, manage, and grow a high-performing, inclusive team across the Growth & Revenue data subject areas. Define the data strategy for all the data subject areas you own. Deliver durable, well-modeled data products that connect product behavior, subscription state, checkout events, payment outcomes, and revenue. Establish trusted metric definitions and data quality standards so product, growth, finance, and executive leaders can make fast, consistent decisions. Partner with Data Science and Product teams to support experimentation, causal measurement, funnel analysis, and scalable self-serve analytics. Partner with Finance and Financial Engineering to ensure analytical revenue views reconcile to financial truth and production billing systems. Raise operational excellence for critical pipelines, including reliability, observability, privacy, governance, and incident response. Set a clear roadmap, make principled tradeoffs, and communicate progress and risk across technical and business stakeholders. You might thrive in this role if yo

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. We’re looking for a detail-oriented Senior General Ledger Accountant to join our growing Accounting team. This role will be involved in a broad range of general ledger accounting activities, including, but not limited to, Cash, Prepaids, Fixed Assets, Accounts Payable, Leases, Investments, Allocations, Intercompany transactions, and Payroll accounting. The position requires strong analytical skills, a keen sense of accuracy, exceptional attention to detail, and the ability to independently research and resolve discrepancies. The ideal candidate thrives in a fast-paced environment and enjoys partnering cross-functionally with teams such as FP&A, Payroll, PeopleOPs, PayablesOps, and other business stakeholders to ensure accurate and timely financial reporting. SaaS industry experience is a plus, particularly in high-growth environments. What you’ll do as a Senior GL Accountant at Vanta: Prepare and review monthly journal entries, account reconciliations, and supporting schedules across a variety of general ledger accounts, including Cash, Prepaids, Fixed Assets, Accounts Payable, Leases, Investments, Payroll, and other balance sheet and income statement accounts. Partner cross-functionally with FP&A, Payroll, PeopleOps, Legal, and other business stakeholders to ensure the accuracy, completeness, and timeliness of financial information. Support the monthly, quarterly, and annual close processes by analyzing financial results, investigating variances and discrepancies, and ensuring accurate financial reporting. Perform flux and variance analyses across key accounts, leveraging data analytics and AI-enabled tools to identify