Jobs in United States

Financial Analytics Professional in United States

943 active opportunities · Updated October 2026

Explore current financial analytics professional jobs across United States. Filter by work mode, employment type, experience, department, date posted and distance.

F
📍 Mclean, Virginia, United States
✓ High-confidence listingCompany trend -26.7%

From $40/hr

Quick readStrong listing-quality and freshness signals

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. We are accepting applications for this position until 10/16/2026 Position Overview: At Freddie Mac, you will do meaningful work that helps build a stronger housing finance system and supports homeownership and rental housing opportunities across the nation. Launch your career by contributing to one of the most important risk management functions in the financial services industry. Our internships and graduate programs provide opportunities to tackle complex business challenges, collaborate with experienced professionals, and make an impact from day one. As an Enterprise Risk Business Intern, you will gain exposure to enterprise-wide risk management practices, emerging technology risks, AI governance, and strategic oversight activities while developing valuable analytical, communication, and leadership skills. Our Impact: Enterprise Risk Management (ERM) helps build and maintain a strong, effective, and efficient risk management framework across Freddie Mac. We provide independent oversight and assessment of financial and non-financial risks while promoting a strong risk culture throughout the organization. As risk management continues to evolve, our teams play an increasingly important role in overseeing areas such as artificial intelligence, model risk, fraud risk, data governance, and enterprise-wide risk frameworks. We work across business functions to ensure that risk management practices remain effective, scalable, and aligned with regulatory and busines

Artificial IntelligenceAIExcelPower Bi
B
📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -79.1%

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE We’re looking for a high-performing strategic finance professional to join our growing Finance team. This role is ideal for someone with 3 - 4 years of experience across investment banking, venture capital, private equity and/or strategic finance who wants broad exposure to company-building inside a fast-scaling AI infrastructure company. Experience in strategic finance is a plus, but not required. You’ll work closely with Finance leadership and partner cross-functionally across the Finance leadership team. THE RESPONSIBILITIES Support company-wide financial planning, forecasting, and budgeting processes Build and maintain operating and financial models across revenue, infrastructure costs, hiring, and strategic initiatives Help prepare board materials, investor updates, and fundraising analyses Partner with business leaders to evaluate investments, acquisitions, pricing, growth initiatives, and operational tradeoffs Analyze consumption and infrastructure metrics including ARR, gross margin, usage trends, retention, and efficiency metrics Drive ad hoc strategic projects including market analysis and scenario planning Improve financial reporting processes, dashboards, and operational rigor as the company scales Act as key data and modeling lead on reporting and analysis Assist with finance operations, procurement, and vendor management as needed Work cross-functionally to turn ambiguous business questions into

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S
📍 United States· Full-time
✓ Quality checkedCompany trend -90.5%

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. The Role: This role plays a key role in contributing, developing, and maturing an industry-best Credit Risk Management organization across SoFi Technologies, Inc. The incumbent will architect comprehensive risk management capabilities for a rapidly growing bank holding company – ensuring robust defensive and offensive capabilities – maturing foundational risk identification/risk mitigation, risk management frameworks, and risk culture. The contributor will play an essential role in fostering regulatory readiness and maturing a strong effective challenge second-line Credit Risk function. The Credit Risk Oversight (2LOD) Senior Risk Analyst role is critical to success across SoFi Technologies, Inc., SoFi Bank, NA, and operating subsidiaries. The incumbent will contribute to the second-line oversight of Credit Risk across all SoFi’s lending products - Unsecured, Secured and Commercial Lending. The analyst will conduct credit/behavioral/financial analytics or predictive modeling to assess risks and opportunities for the bank portfolios and translate results into recommendations. The 2LOD Senior Risk Analyst will leverage internal and external data sources and technology capabilities in support of the oversight function. Perform analysis to research credit

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C
📍 Work At Home Texas, United States
✓ High-confidence listingCompany trend +340.2%
Quick readStrong listing-quality and freshness signals

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Senior Actuary - Network position within the network analytics team provides the financial tools and analytics to support network strategy in alignment with market/business growth priorities. The market-specific responsibilities will provide individuals with the opportunity to develop in-depth knowledge of market dynamics and to establish strong cross-functional relationships with key business partners, including network, MEU, and commercial actuarial teams. Additional core areas of focus include network discounts, emerging trend analytics, and pricing and contracting support. Key responsibilities will include: Discounts – Develop a quarterly, market-level discount review process to inform Regional Leads and Chief Network Officers of changes in benchmarking based on the latest view, identifying gaps and pressured areas to consider for future negotiations. Provide meaningful information to the field on the impact and expected timing of new negotiations beyond current consultant benchmarking. Emerging Trend Analytics – Engage cross-functionally with Network, MEU, and other teams to drive enhanced contract negotiation strategies using data-driven recommendations for MedRx and Behavioral Health. Pricing – provide support for Aetna Whole Health / APCN Plus (Performance Networks), joint ventures, and narrow network pricing across all

PythonSQLCustomer Service
D
📍 New York, New York, United States
✓ High-confidence listingCompany trend -84.7%
Quick readStrong listing-quality and freshness signals

About Datadog: Datadog is the essential monitoring and security platform for cloud applications. We bring together end-to-end traces, metrics, and logs to make your applications, infrastructure, and third-party services entirely observable. These capabilities help businesses secure their systems, avoid downtime, and ensure customers are getting the best user experience. The Team: The Financial Planning & Analysis (FP&A) team analyzes company financial data (revenue, customers, headcount, expenses, etc.) in order to support the business’ growth and success. Within FP&A, the R&D Finance team enables the financial strategy behind Datadog’s Engineering and Product organizations. We partner directly with technical leadership to drive decision-making around our most critical investments. Your work will be highly cross-functional and play a pivotal role in connecting the dots across the organization through a financial lens, ensuring operational alignment and informing decision making. The Opportunity: As a part of the R&D Finance team, this person will be key in supporting our product and engineering leadership team. Reporting to the Senior Manager, you will help create our annual budget and financial targets and work with operational leaders to support execution against our goals. Your work will be highly cross-functional and strategic, and you will play a pivotal role in connecting the dots across the organization through a financial lens, in order to help ensure operational alignment and inform decision making. What You’ll Do: Partner with senior business leaders to manage their departmental budgets on a regular basis, including but not limited to the company’s co-founder and CTO Manage financial forecasts and analytics, which include data across revenue, customers, product, company expenses, and headcount / workforce. Help manage significant portions of the company’s spend, including but not limited to AI and GPU spend across the compan

AIExcelTableauAccounting
D
📍 New York, New York, United States· Full-time
✓ High-confidence listingCompany trend -84.7%

From $80K/yr

Quick readStrong listing-quality and freshness signals

As a Finance Systems Analyst, you will play a key role in modernizing Datadog's finance organization through process automation, data analytics, and financial systems optimization. Working within the Finance Systems team, you will partner closely with Accounting, FP&A, Tax, and other finance stakeholders to improve the efficiency, accuracy, and scalability of financial processes and reporting. You will leverage technologies such as AI tools, SQL, Python, Tableau, and financial systems to analyze data, automate workflows, and deliver actionable insights. This role offers an opportunity to help shape how emerging technologies, including AI, transform finance operations while contributing to strategic decision-making across the business. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Partner with Accounting, FP&A, Tax, and other Finance stakeholders to gather requirements and translate business needs into scalable reporting and analytics solutions. Collaborate with cross-functional teams including IT, Business Systems, Sales Systems, and Analytics to drive data and automation initiatives. Build and maintain dashboards and reporting tools that monitor financial and operational performance and support evolving business priorities. Automate recurring finance processes and enhance data workflows using AI tools, data visualization platforms, and custom solutions. Support financial system implementations and upgrades through data migration, mapping, reporting integration, testing, and validation activities. Deliver analytical insights and maintain documentation that enables self-service reporting and informed decision-making across Finance. Who You Are: Have 1-5 years of experience in data analytics, financial systems, finance operations, or a rel

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S
📍 United States· Full-time
✓ High-confidence listingCompany trend -90.5%
Quick readStrong listing-quality and freshness signals

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. Role Summary: This role will lead the data engineering function supporting People Analytics, including AI-assisted workforce analytics on Snowflake. This is a player-coach role requiring hands-on technical leadership plus people leadership, with strong business partnership and the ability to balance speed, quality, governance, and innovation. What you’ll do: Manage and develop data engineers Manage, coach, and grow a team of data engineers. Set expectations for quality, collaboration, delivery, and technical ownership. Create a strong engineering culture where people solve hard problems, move quickly, and enjoy the work. Collaborate with cross-functional teams, such as other data engineers, people analysts, data scientists, and business stakeholders, to translate requirements into production-ready deliverables, and communicate technical trade-offs to non-technical partners. Stay hands on Write and review production code. Lead design reviews, code reviews, and technical problem solving. Step into critical pipelines, models, or AI workflows when needed. Build scalable People data foundations Design and maintain sustainable data models, pipelines, semantic layers, and testing frameworks. Establish team practices for documentation, lineage, data quality, and observability. Own engineering standards Set standard

PythonSQLGCPCI/CD
S
📍 United States· Full-time
✓ High-confidence listingCompany trend -90.5%
Quick readStrong listing-quality and freshness signals

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. Role Summary: We are looking for a talented and detail-oriented Sr Data Engineer to tackle data challenges. You will design, build, and maintain critical data pipelines and datasets, supporting areas like recruiting, compensation, talent management, and learning and development. Your work will enhance data accessibility and empower the People Team and business leaders to make informed decisions with high-quality, reliable data. Key Responsibilities: Develop and maintain robust data pipelines and datasets. Build foundational data products for key business areas. Enhance self-service data capabilities for the People Team. Ensure high standards in ETL/ELT operations, data quality, and pipeline reliability. Join us to drive impactful change and support SoFi's mission of fostering a thriving workplace through data excellence. What you’ll do: Design and build production dbt models in Snowflake that integrate Workday and other People systems into well-modeled, documented datasets, including slowly changing dimensions for People history. Build and operate Airflow DAGs that ingest People systems data and orchestrate dbt runs, keeping loads reliable and re-runnable. Own data quality and observability: dbt tests, freshness checks, row-count validation, and monitoring so issues are caught before stakeholders see them.

PythonSQLGCPCI/CD
C
📍 Jersey City New Jersey United States, United States
✓ High-confidence listingCompany trend +800%
Quick readStrong listing-quality and freshness signals

Join a pioneering team at the forefront of financial technology innovation. We are building a cutting-edge, agentic AI platform designed to revolutionize the end-to-end credit risk model development lifecycle. By leveraging the power of Large Language Models (LLMs) and intelligent workflows, we aim to augment our quantitative modelers, dramatically increasing their productivity, enhancing model governance, and accelerating the delivery of critical risk models. We are seeking a senior, hands-on technology leader to drive this transformation. In this role, you will partner directly with quantitative analysts and key stakeholders to shape the most impactful use cases and then lead a team of talented developers to design, build, and deploy the generative AI platform that brings this vision to life. Key Responsibilities Strategic Vision & Stakeholder Partnership: Collaborate closely with quantitative model developers, Model Risk Management (MRM), and business leaders to deeply understand their pain points and translate them into a technical vision and product roadmap. Identify, scope, and prioritize use cases for the agentic workflow platform, ensuring they deliver measurable value and align with strategic objectives. Serve as the primary technical liaison between the engineering team and its users, ensuring a tight feedback loop and continuous alignment. Platform Design & Hands-On Development: Lead the architectural design of a scalable, robust, and secure agentic AI platform, including core components for orchestration, knowledge retrieval (e.g. RAG), and tool integration. Engage in hands-on software development to build foundational components, create proofs-of-concept, and tackle the most complex technical challenges. Design and implement secure integrations with internal data sources, external APIs, and various LLMs, ensuring compliance

PythonJavaArtificial IntelligenceAI
S
📍 United States· Full-time
✓ Quality checkedCompany trend -87.9%

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 Capital team is responsible for managing the end-to-end risk strategy for Stripe's lending product. The team is based in the US and Canada, and is composed of curious, driven, and analytical individuals who are passionate about using their skills to shape the future of Stripe. We partner closely with Stripe's engineering, data science, product, and servicing teams to leverage existing platforms, integrate industry best practices, and develop novel solutions to evaluate and manage credit risk. If you are interested in joining a fast-growing organization and applying your experience to shape the future of Stripe, we encourage you to apply. What you’ll do As a key member of the Capital team, you will have the opportunity to shape the future of Stripe's credit policy by driving meaningful changes to the risk and underwriting framework. You will leverage Stripe's vast data assets to formulate your recommendations and work closely with our partners and, where applicable, leverage third-party data. We are a small and lean team, which means you will have the autonomy and the responsibility to manage end-to-end risk initiatives. Responsibilities Architect and implement credit policies based on Stripe's proprietary data and selected industry data to target, price, and size capital products. Utilize your analytical and technical skills to provide credit risk recommendations, deliver insights, and support strategic business decisions. Collabor

PythonSQLRestMachine Learning
P
📍 Pittsburgh, United States
✓ Quality checked

$55K – $157.3K/yr

Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As a Quantitative Analytics and Modeling Analyst Senior within PNC's Model Risk Management organization, you will be based in Pittsburgh, PA, Boston, MA or Tysons Corner, VA. We are seeking an experienced model validator to be part of our Model Risk Management team at PNC. The position reports to a validation manager in Commercial Credit and Financial Valuation Models and is part of the Independent Risk Management organization. This role involves performing rigorous independent reviews on some of PNC’s most important models including Commercial & Industrial, Commercial Real Estate and retail commercial loss forecasting models, risk rating models, as well as financial valuation and investment models. This role also participates at and provide individual and aggregate model risk assessment in various model working groups and forums. PNC is an in-office company that fosters a supportive culture

C
📍 Jacksonville Florida United States, United States
✓ High-confidence listingCompany trend +800%
Quick readStrong listing-quality and freshness signals

Citi's U.S. Consumer Cards (USCC) business is one of the largest card issuers in the United States, serving millions of customers across a broad portfolio of branded, co-brand, and retail services card products. We are seeking to hire a VP Rewards Reengineering - Strategy and Analytics position to be part of the USCC Pricing and Rewards Reengineering team. The VP Rewards Reengineering - Strategy and Analytics position will report to Rewards Reengineering Analytics Lead and will be responsible for developing Rewards strategies grounded in data, customer, and operational insights. This individual will leverage financial analysis to enhance portfolio profitability through many rewards strategic work, balancing customer experience and ensuring regulatory compliance. This role will partner across multiple teams, including Product, Finance, Risk, Legal, Compliance, Technology and Operations to drive Rewards strategies for USCC. Key Responsibilities: Develop comprehensive Rewards strategy recommendations based on in-depth customer insights (both quantitative and qualitative), sound financial impact forecasting and thorough understanding of competitive landscape and regulatory environment Evaluate new initiatives by developing financial sizings, weighing risk / reward tradeoffs, assessing customer impact, and various other key factors Retrieve data and conduct data driven analytics using various analytical tools, software, and techniques Develop robust forecasting and tracking capabilities, and ensure robust quality control in Rewards processes Understand regulatory implications associated with Rewards policy and develop mitigation / opportunity strategies Communicate clearly and effectively to business partners and senior leaders Candidate Qualifications 6+

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M
📍 New York, new york, United States· Full-time
✓ High-confidence listingCompany trend -67.9%
Quick readStrong listing-quality and freshness signals

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. About Modal Data: We’re growing our Data team and are looking for our first few key hires to build self-serve data tools and drive business strategy in the right direction. The mission of the Modal Data team is to make it easy to track company goals, make evidence-backed decisions, and prioritize the right work. We do this via: Self-serve AI analytics tools (Hex, Snowflake) Embedding with teams as a “data adviser”, providing strategic analysis and consulting What You'll Do: Contribute to building the most modern analytics stack in Data today to support AI-driven self-serve analysis, key metrics tracking, and external customer reporting Influence work on new products like LLM Inference Endpoints through product analytics tracking Identify millions of dollars of cost savings and optimization across our tools and financial operations Write data pipelines that power the operatio

PythonSQLAIProject Management
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📍 United States· Full-time· Remote
✓ High-confidence listingCompany trend -88.6%
Quick readStrong listing-quality and freshness signals

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 Financial Systems Engineer at Vanta, you will own the end-to-end health and evolution of the tech stack, data, and system integrations across our Procure to Pay and FP&A verticals, and be a technical lead for procurement, planning, and finance data systems. Vanta's Financial Systems function builds, maintains, and supports the tools that Vanta's Finance & Accounting operate on. The team builds scalable, integrated, and high value solutions that enable Finance, Accounting, and RevOps to move quickly without trading away accuracy or auditability. Vanta's Finance Systems team is early, and Procurement and FP&A have historically had little systems representation. That makes this a rare chance to own foundational decisions rather than inherit them. You will be helping implement our first CPM tool, re-architect Zip end-to-end, and help build the finance data layer in Snowflake that everything downstream will run on, with the autonomy to set the standards the team builds on as we scale. What you’ll do as a Senior Financial Systems Engineer at Vanta: Own the architecture, configuration, and operational health of Zip (P2P) including workflows, integrations, customizations, and agentic buildout Serve as the internal lead implementing Vanta's first CPM tool, working with an implementation partner, and owning the product post-launch Partner with Data/Analytics to design the Finance and Accounting data model in Snowflake, translating FP&A and Accounting requirements into data plans and SQL models Architect and maintain integrations between NetSuite and adjacent systems (Salesforce, Stripe, Anrok, Tesorio, Workato

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F
📍 Illinois, Texas, United States· Full-time
✓ High-confidence listingCompany trend -85.5%

From $1.1M/yr

Quick readStrong listing-quality and freshness signals

About Flexport: At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. The Opportunity You will be a key partner to our General Managers and North America leadership across the Sales and Operations organizations. This is a role with both a strategic and a tactical edge: you’ll drive forecasting, planning, closing the books, and own the day-to-day tasks that keep the business moving. You’ll also play a key role in our AI transformation, working cross-functionally, with our accounting and data analytics teams to design and automate workflows across the enterprise. If you want to work at the cross section of global trade, technology and modern finance you belong here. You Will: Partner with Sales & Operations Leadership: Serve as the strategic finance partner to GMs and NA leadership, monitoring trends, communicating performance, and empowering operators to manage their business with clarity and confidence. Drive Business Outcomes Cross-Functionally: Operate at the intersection of strategy and execution. Translate commercial and operational questions into analysis that drives decisions, and work across teams to unblock bottlenecks and prioritize opportunities by impact. Improve & Automate: Lead process improvements beyond y

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