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Senior Data Scientist Finance Jobs (NOW HIRING)

Figma is a company dedicated to making design accessible to all, and they are seeking a Finance Data Scientist to enhance their financial data systems. This role involves building data foundations ...

Canoe Intelligence WEBSITE : TITLE: Sr. Data Scientist LOCATION: New York City, London or ... Stay up-to-date with industry trends and best practices in data science, finance, and technology.

Figma is growing our Finance Data Science team at a pivotal moment in the company's evolution. As a public company, the accuracy, scalability, and sophistication of our financial data systems have ...

Finance & Operations works closely across the organization to guide enterprise-wide resource ... The Senior Data Scientist will build machine learning-based tools and processes within the company ...

Finance & Operations works closely across the organization to guide enterprise-wide resource ... The Senior Data Scientist will build machine learning-based tools and processes within the company ...

Finance & Operations works closely across the organization to guide enterprise-wide resource ... The Senior Data Scientist will build machine learning-based tools and processes within the company ...

Figma is a company focused on making design accessible to all, and they are seeking a Finance Data Scientist to enhance their financial data systems. This role involves building data foundations for ...

Senior Data Scientist Senior Data Scientist Who are we? Versant Health is one of the nation ... decisions, financial performance, operational efficiency, and regulatory posture. This role ...

Senior Data Scientist Senior Data Scientist Who are we? Versant Health is one of the nation ... decisions, financial performance, operational efficiency, and regulatory posture. This role ...

Figma is growing our Finance Data Science team at a pivotal moment in the company\'s evolution. As a public company, the accuracy, scalability, and sophistication of our financial data systems have ...

Senior Data Scientist Location: San Francisco, CA Sponsorship: Yes Relocation: Yes Industry:Data Science Are you an experienced Data Scientist with 5+ years' experience who likes solving complex ...

Why GM Financial Technology Innovation isn't just a talking point at GM Financial, it's how we ... The Senior Data Scientist is responsible for Implementing the design, development, deployment, and ...

Roku is looking for a Senior Data Scientist to join the Core Analytics team supporting the Roku TV organization. In this role, you will serve as a strategic thought partner to executive business ...

Senior Data Scientist About the Role Our client is looking for a Senior Data Scientist for a long-term engagement with a pharmaceutical client. This is a hands-on, end-to-end role embedded directly ...

Why GM Financial Technology Innovation isn't just a talking point at GM Financial, it's how we ... The Senior Data Scientist is responsible for Implementing the design, development, deployment, and ...

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Senior Data Scientist Finance information

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$41.5K

$142.5K

$201K

How much do senior data scientist finance jobs pay per year?

As of Jul 29, 2026, the average yearly pay for senior data scientist finance in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

How does a Senior Data Scientist in Finance typically collaborate with other departments to drive business impact?

Senior Data Scientists in Finance frequently work closely with cross-functional teams such as risk management, compliance, product development, and IT. They translate complex financial data into actionable insights, supporting decision-making across the organization. Effective collaboration often involves leading data-driven projects, communicating findings to non-technical stakeholders, and ensuring models align with regulatory requirements. This collaborative approach not only enhances business strategies but also fosters a culture of data-driven decision-making within the company.

What are the key skills and qualifications needed to thrive as a Senior Data Scientist in Finance, and why are they important?

To thrive as a Senior Data Scientist in Finance, you need advanced statistical analysis, machine learning expertise, financial domain knowledge, and typically a graduate degree in a quantitative field. Mastery of tools like Python, R, SQL, and experience with financial modeling platforms or cloud analytics environments is common, as are certifications such as CFA or FRM. Strong problem-solving, communication, and stakeholder management skills set standout professionals apart in this role. These capabilities ensure accurate insights, effective risk assessment, and data-driven decision-making essential for financial institutions.

What is the difference between Senior Data Scientist Finance vs Data Scientist Finance?

AspectSenior Data Scientist FinanceData Scientist Finance
Required CredentialsAdvanced degree (Master's/PhD), relevant certifications (e.g., CFA, FRM)Bachelor's or Master's in Data Science, Finance, or related fields
Work EnvironmentLeadership roles, project oversight, mentoringData analysis, model development, reporting
Employer & Industry UsageFinancial institutions, investment firms, banksFinancial firms, fintech companies, asset management
Common Search & Comparison IntentUnderstanding senior-level responsibilities and qualificationsEntry to mid-level data science roles in finance

The main difference between a Senior Data Scientist Finance and a Data Scientist Finance lies in experience, responsibilities, and qualifications. Senior Data Scientists typically lead projects, mentor junior staff, and possess advanced credentials, whereas Data Scientists focus on analysis and model building. Both roles are vital in financial institutions but differ in scope and seniority.

What does a Senior Data Scientist in Finance do?

A Senior Data Scientist in Finance leverages advanced analytics, machine learning, and statistical modeling to analyze financial data and solve complex business problems. They often work on projects like risk modeling, fraud detection, algorithmic trading, and financial forecasting. Their role involves collaborating with stakeholders to translate business needs into actionable data-driven solutions, and they are typically responsible for leading data science teams or mentoring junior analysts. Strong programming, quantitative, and communication skills are essential for this position.
More about Senior Data Scientist Finance jobs
What cities are hiring for Senior Data Scientist Finance jobs? Cities with the most Senior Data Scientist Finance job openings:
What are the most commonly searched types of Data Scientist Finance jobs? The most popular types of Data Scientist Finance jobs are:
What states have the most Senior Data Scientist Finance jobs? States with the most job openings for Senior Data Scientist Finance jobs include:
What job categories do people searching Senior Data Scientist Finance jobs look for? The top searched job categories for Senior Data Scientist Finance jobs are:
Infographic showing various Senior Data Scientist Finance job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.
Data Scientist, Finance

Full-time

Posted 24 days ago


Job description

Job Summary:
Figma is a company dedicated to making design accessible to all, and they are seeking a Finance Data Scientist to enhance their financial data systems. This role involves building data foundations for financial reporting and collaborating closely with various teams to ensure the accuracy and effectiveness of financial metrics.
Responsibilities:
• Own and improve the data models that power Figma's financial reporting, including ARR, revenue, billings, collections, and other key business metrics
• Build scalable reporting systems, forecasts, and analytical frameworks that support Finance, Accounting, Investor Relations, and executive leadership
• Drive data accuracy and completeness across month-end, quarter-end, and year-end close processes alongside Strategic Finance and Accounting teams
• Collaborate with Engineering, Product, GTM Systems, and Financial Systems teams to ensure the completeness and accuracy of financial data
• Conduct deep-dive analyses that inform strategic decisions and uncover opportunities to improve business performance
• Define, measure, and operationalize key financial and operational metrics
• Design and implement durable data solutions that balance immediate stakeholder needs with long-term scalability
• Serve as a trusted thought partner to Finance leaders, helping guide reporting, forecasting, and decision-making across the business
Qualifications:
Required:
• 3+ years of experience in Data Science, Analytics, Finance, Financial Systems, Data Engineering, or a related field
• Advanced SQL skills and strong proficiency in Python or a similar programming language
• Experience supporting Finance, Accounting, Strategic Finance, FP&A, Investor Relations, or other finance-focused stakeholders
• Demonstrated ability to translate complex data into clear, actionable business insights for non-technical stakeholders
• Experience working independently and driving projects from ambiguity to execution
Preferred:
• Experience with SaaS, subscription-based, usage-based, or consumption-based business models
• Knowledge of accounting concepts and revenue recognition principles (ASC 606)
• Experience with modern analytics and data engineering tools such as DBT, Snowflake, Git, Spark, Presto, or similar technologies
• Experience supporting IPO readiness, public company reporting, SOX controls, audits, or other major corporate milestones
• Background in Strategic Finance, FP&A, Accounting, Investment Banking, Consulting, or related fields
Company:
Figma is a collaborative design tool that enables teams to create, prototype, and test digital products on one platform. Founded in 2012, the company is headquartered in San Francisco, USA, with a team of 1001-5000 employees. The company is currently Late Stage.