Financial Data Scientist
Atlanta, GA · On-site
The Financial Data Scientist role involves providing advanced financial and analytical support through mathematical and statistical modeling, forecasting, and data-driven insights. Responsibilities ...
Financial Data Scientist
Atlanta, GA · On-site
The Financial Data Scientist role involves providing advanced financial and analytical support through mathematical and statistical modeling, forecasting, and data-driven insights. Responsibilities ...
The Financial Data Scientist provides advanced financial and analytical support through mathematical and statistical modeling, forecasting, and data-driven insights. This role leverages strong ...
The Financial Data Scientist provides advanced financial and analytical support through mathematical and statistical modeling, forecasting, and data-driven insights. This role leverages strong ...
Financial Data Scientist
Atlanta, GA · On-site
The Financial Data Scientist provides advanced financial and analytical support through mathematical and statistical modeling, forecasting, and data-driven insights. This role leverages strong ...
Financial Data Scientist
Atlanta, GA · On-site
The Financial Data Scientist provides advanced financial and analytical support through mathematical and statistical modeling, forecasting, and data-driven insights. This role leverages strong ...
Financial Data Scientist, Wealth Location: New York/OVA Line of Business: Data Science Job Function: Investor Services Date: Friday, March 6, 2026
Financial Data Scientist, Wealth Location: New York/OVA Line of Business: Data Science Job Function: Investor Services Date: Friday, March 6, 2026
Financial Data Scientist, Wealth
New York, NY · On-site
$180K - $200K/yr
Financial Data Scientist, Wealth Location: New York/OVA Line of Business: Data Science Job Function: Investor Services Date: Friday, March 6, 2026 Position Summary 2026 Budget: Financial Data ...
Financial Data Scientist, Wealth
New York, NY · On-site
$180K - $200K/yr
Financial Data Scientist, Wealth Location: New York/OVA Line of Business: Data Science Job Function: Investor Services Date: Friday, March 6, 2026 Position Summary 2026 Budget: Financial Data ...
Data Scientist
Nashville, TN · On-site
$60K/yr
Data Scientist Location : Hermitage, TN Wage : $60,000 Job Duties : * Data Acquisition, Cleaning ... Conduct exploratory data analysis to identify trends, outliers, and correlations within financial ...
Data Scientist
Nashville, TN · On-site
$60K/yr
Data Scientist Location : Hermitage, TN Wage : $60,000 Job Duties : * Data Acquisition, Cleaning ... Conduct exploratory data analysis to identify trends, outliers, and correlations within financial ...
Data Scientist
Hartford, CT · On-site
$109K - $136K/yr
Together we fight for everyone's opportunity for a better financial future. We will do this ... Deliver data science solutions by building predictive models and advanced analytics using ...
Data Scientist
Hartford, CT · On-site
$109K - $136K/yr
Together we fight for everyone's opportunity for a better financial future. We will do this ... Deliver data science solutions by building predictive models and advanced analytics using ...
If you love thinking analytically and are passionate about using your financial knowledge to navigate challenges, we'd love to hear from you!..The Services Finance Data Science and Engineering team ...
If you love thinking analytically and are passionate about using your financial knowledge to navigate challenges, we'd love to hear from you!..The Services Finance Data Science and Engineering team ...
Data Scientist
New York, NY · On-site
... financial data from various sources to provide actionable insights for Financial Advisors and their Clients build and deploy machine learning and statistical methods to optimize the business process ...
Data Scientist
New York, NY · On-site
... financial data from various sources to provide actionable insights for Financial Advisors and their Clients build and deploy machine learning and statistical methods to optimize the business process ...
Data Scientist
Arlington, VA · On-site
As a Data Scientist, you will support the Internal Revenue Service's mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data ...
Data Scientist
Arlington, VA · On-site
As a Data Scientist, you will support the Internal Revenue Service's mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data ...
Data Scientist
Arlington, VA · On-site
As a Data Scientist, you will support the Internal Revenue Service's mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data ...
Data Scientist
Arlington, VA · On-site
As a Data Scientist, you will support the Internal Revenue Service's mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data ...
As a Data Scientist, you will support the Internal Revenue Services mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data ...
As a Data Scientist, you will support the Internal Revenue Services mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data ...
Data Scientist AI/ML
Fort Collins, CO · On-site
$102K - $146K/yr
We're looking for a Data Scientist with deep AI and machine learning expertise to help shape the ... Your models will have a direct impact on financial decisions, operational efficiency, and customer ...
Data Scientist AI/ML
Fort Collins, CO · On-site
$102K - $146K/yr
We're looking for a Data Scientist with deep AI and machine learning expertise to help shape the ... Your models will have a direct impact on financial decisions, operational efficiency, and customer ...
Staff Data Scientist
Boise, ID · On-site
As a Staff Data Scientist in Finance Systems Transformation at Micron, you will help build and develop customized AI conversational agents. You will also develop advanced analytical models and ...
Staff Data Scientist
Boise, ID · On-site
As a Staff Data Scientist in Finance Systems Transformation at Micron, you will help build and develop customized AI conversational agents. You will also develop advanced analytical models and ...
Data Scientist AI/ML
$102K - $146K/yr
We're looking for a Data Scientist with deep AI and machine learning expertise to help shape the ... Your models will have a direct impact on financial decisions, operational efficiency, and customer ...
Data Scientist AI/ML
$102K - $146K/yr
We're looking for a Data Scientist with deep AI and machine learning expertise to help shape the ... Your models will have a direct impact on financial decisions, operational efficiency, and customer ...
Services Finance, Data Scientist
Cupertino, CA · On-site
$172K - $258K/yr
If you love thinking analytically and are passionate about using your financial knowledge to navigate challenges, we'd love to hear from you! The Services Finance Data Science and Engineering team is ...
Services Finance, Data Scientist
Cupertino, CA · On-site
$172K - $258K/yr
If you love thinking analytically and are passionate about using your financial knowledge to navigate challenges, we'd love to hear from you! The Services Finance Data Science and Engineering team is ...
Data Scientist - Financial Analytics
San Francisco, CA · On-site
$114K - $199K/yr
... Data Scientist to join our rapidly expanding team. In this pivotal role, you will be responsible for designing, building, and maintaining services that automatically process vast amounts of financial ...
Data Scientist - Financial Analytics
San Francisco, CA · On-site
$114K - $199K/yr
... Data Scientist to join our rapidly expanding team. In this pivotal role, you will be responsible for designing, building, and maintaining services that automatically process vast amounts of financial ...
They are seeking a Data Scientist to join their Data Science & Insight team, focusing on developing AI and machine learning solutions to enhance efficiency and decision-making within the finance ...
New
They are seeking a Data Scientist to join their Data Science & Insight team, focusing on developing AI and machine learning solutions to enhance efficiency and decision-making within the finance ...
New
Data Scientist
New York, NY · On-site
$72K - $93K/yr
Your team UBS has been named Best Wealth Management Firm for Use of AI in the US at the Financial Times' PWM Wealth Tech Awards in 2026 for our work in STAAT. You will be part of the Data Science ...
Data Scientist
New York, NY · On-site
$72K - $93K/yr
Your team UBS has been named Best Wealth Management Firm for Use of AI in the US at the Financial Times' PWM Wealth Tech Awards in 2026 for our work in STAAT. You will be part of the Data Science ...
They are seeking a Data Scientist II / III to join their Data Science & Insight team, focusing on developing AI and machine learning solutions to enhance decision-making in finance. The role involves ...
New
They are seeking a Data Scientist II / III to join their Data Science & Insight team, focusing on developing AI and machine learning solutions to enhance decision-making in finance. The role involves ...
New
Financial Data Scientist information
See salary details
$37.5K - $52K
2% of jobs
$52K - $66.4K
3% of jobs
$66.4K - $80.9K
6% of jobs
$80.9K - $95.3K
9% of jobs
$100K is the 25th percentile. Wages below this are outliers.
$95.3K - $109.8K
15% of jobs
The median wage is $119.4K / yr.
$109.8K - $124.2K
22% of jobs
$132.2K is the 75th percentile. Wages above this are outliers.
$124.2K - $138.7K
32% of jobs
$138.7K - $153.1K
3% of jobs
$153.1K - $167.6K
4% of jobs
$167.6K - $182K
1% of jobs
$182K - $196.5K
2% of jobs
$37.5K
$122.7K
$196.5K
How much do financial data scientist jobs pay per year?
As of Jun 11, 2026, the average yearly pay for financial data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as a Financial Data Scientist, and why are they important?
To thrive as a Financial Data Scientist, you need strong quantitative skills, proficiency in statistical analysis, and a background in finance or economics, typically supported by a relevant degree. Familiarity with programming languages such as Python or R, experience with machine learning frameworks, and knowledge of financial databases and tools like Bloomberg Terminal are also important. Critical thinking, problem-solving, and effective communication help you translate complex data into actionable insights for stakeholders. These skills are crucial for building accurate financial models, driving data-driven decision-making, and delivering value in dynamic financial environments.
Is AI replacing data scientists?
AI is transforming the role of financial data scientists by automating routine tasks and enhancing data analysis capabilities. However, data scientists are still essential for designing models, interpreting results, and making strategic decisions, as AI tools require human expertise for effective implementation and oversight.
Is 40 too late for data science?
A career as a financial data scientist can be pursued at age 40 or older, as the field values skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant technical skills such as programming, statistics, and data analysis tools, making age less of a barrier than skillset and experience.
What is the difference between Financial Data Scientist vs Quantitative Analyst?
| Aspect | Financial Data Scientist | Quantitative Analyst |
|---|---|---|
| Required Credentials | Degree in Finance, Data Science, or related fields; often certifications like CFA or FRM | Degree in Mathematics, Statistics, Finance; CFA or FRM common |
| Work Environment | Financial institutions, tech firms, investment firms; focus on data modeling and predictive analytics | Investment banks, hedge funds, asset management; focus on trading strategies and risk modeling |
| Employer & Industry Usage | Used across finance and tech sectors for data-driven decision making | Primarily in finance for trading, risk, and portfolio management |
Financial Data Scientists analyze large datasets to develop predictive models and insights, often combining finance knowledge with data science skills. Quantitative Analysts focus on developing mathematical models for trading and risk management. While both roles require strong quantitative skills and finance knowledge, Financial Data Scientists tend to work more on data analysis and machine learning, whereas Quantitative Analysts focus on financial modeling and trading strategies.
What does a Financial Data Scientist do?
A Financial Data Scientist analyzes complex financial data using statistical, machine learning, and computational techniques to identify patterns, forecast trends, and support decision-making within financial institutions. They work with large datasets from sources like market data, customer transactions, and economic indicators to develop predictive models and data-driven strategies. Their work helps organizations manage risk, optimize portfolios, detect fraud, and gain a competitive edge in the financial sector.
Can a data scientist work in finance?
A financial data scientist applies data analysis, machine learning, and statistical modeling to financial data to support decision-making, risk management, and investment strategies. They often work with tools like Python, R, and SQL, and may require knowledge of finance concepts and regulations. This role is common in banks, investment firms, and financial technology companies.
What is the salary of data scientist in JP Morgan?
The salary of a Financial Data Scientist at JP Morgan typically ranges from $80,000 to $150,000 annually, depending on experience, location, and skill level. Entry-level roles may start lower, while experienced professionals with advanced skills in machine learning and data analysis can earn higher compensation.
How does a Financial Data Scientist typically collaborate with other departments within a financial organization?
Financial Data Scientists regularly work alongside cross-functional teams, including risk analysts, portfolio managers, and software engineers. They collaborate to develop predictive models, automate data pipelines, and translate complex data insights into actionable business strategies. Effective communication is key, as they must explain technical findings to stakeholders with varying levels of data literacy. This collaborative environment not only fosters innovation but also offers opportunities to learn from other experts and expand your professional network.
More about Financial Data Scientist jobs
What cities are hiring for Financial Data Scientist jobs? Cities with the most Financial Data Scientist job openings:
What states have the most Financial Data Scientist jobs? States with the most job openings for Financial Data Scientist jobs include:
What job categories do people searching Financial Data Scientist jobs look for? The top searched job categories for Financial Data Scientist jobs are:
U.S. Bank rating
8.2
Based on 345 frontline employees who took The Breakroom Quiz
38th of 141 rated banks
Job description
Job Summary:
U.S. Bank is on a journey to help customers and businesses make smarter financial decisions. The Financial Data Scientist role involves providing advanced financial and analytical support through mathematical and statistical modeling, forecasting, and data-driven insights.
Responsibilities:
• Develop, maintain, and enhance financial models, including forecasting, scenario analysis, and sensitivity analysis
• Apply time series modeling techniques to support revenue, expense, pricing, and volume forecasting
• Analyze large and complex datasets using SQL and Python to identify trends, risks, and performance drivers
• Design, automate, and maintain repeatable analytics and reporting solutions
• Partner with finance leadership and business stakeholders to translate analytical results into actionable insights
• Support budgeting, planning, and performance management processes with rigorous quantitative analysis
• Validate data accuracy and resolve data quality issues across multiple financial and operational systems
• Prepare clear, concise management presentations and written summaries explaining assumptions, methodology, and results
Qualifications:
Required:
• Bachelor's degree in a quantitative field such as statistics, computer science, engineering or applied mathematics, or equivalent work experience
• Six to eight years of relevant experience
Preferred:
• Advanced degree in a quantitative discipline (Applied Mathematics, Statistics, Data Science, etc.)
• Experience with time series analysis and forecasting techniques
• Advanced Excel skills
• Familiarity with version control and reproducible coding and analytics workflows
• Experience in credit card payment processing
• Strong analytic skills with the ability to extract, collect, organize, analyze and interpret trends or patterns in complex data sets
• Experience in analytics, advanced analytics/statistics, predictive modeling, machine learning, data visualization
• Understanding of machine learning techniques and algorithms
• Experience in python/R/SAS/SQL for data extraction, data mining, and predictive analytics
• Demonstrated project management skills
• Effective interpersonal, verbal and written communication skills
Company:
At U.S. Founded in 1968, the company is headquartered in Minneapolis, USA, with a team of 10001+ employees. The company is currently Late Stage.
U.S. Bank is on a journey to help customers and businesses make smarter financial decisions. The Financial Data Scientist role involves providing advanced financial and analytical support through mathematical and statistical modeling, forecasting, and data-driven insights.
Responsibilities:
• Develop, maintain, and enhance financial models, including forecasting, scenario analysis, and sensitivity analysis
• Apply time series modeling techniques to support revenue, expense, pricing, and volume forecasting
• Analyze large and complex datasets using SQL and Python to identify trends, risks, and performance drivers
• Design, automate, and maintain repeatable analytics and reporting solutions
• Partner with finance leadership and business stakeholders to translate analytical results into actionable insights
• Support budgeting, planning, and performance management processes with rigorous quantitative analysis
• Validate data accuracy and resolve data quality issues across multiple financial and operational systems
• Prepare clear, concise management presentations and written summaries explaining assumptions, methodology, and results
Qualifications:
Required:
• Bachelor's degree in a quantitative field such as statistics, computer science, engineering or applied mathematics, or equivalent work experience
• Six to eight years of relevant experience
Preferred:
• Advanced degree in a quantitative discipline (Applied Mathematics, Statistics, Data Science, etc.)
• Experience with time series analysis and forecasting techniques
• Advanced Excel skills
• Familiarity with version control and reproducible coding and analytics workflows
• Experience in credit card payment processing
• Strong analytic skills with the ability to extract, collect, organize, analyze and interpret trends or patterns in complex data sets
• Experience in analytics, advanced analytics/statistics, predictive modeling, machine learning, data visualization
• Understanding of machine learning techniques and algorithms
• Experience in python/R/SAS/SQL for data extraction, data mining, and predictive analytics
• Demonstrated project management skills
• Effective interpersonal, verbal and written communication skills
Company:
At U.S. Founded in 1968, the company is headquartered in Minneapolis, USA, with a team of 10001+ employees. The company is currently Late Stage.
What U.S. Bank employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About U.S. Bank
Sourced by ZipRecruiter
U.S. Bank is a reputable and established financial institution that plays a significant role in the banking sector. With a history spanning over 150 years, U.S. Bank has built a strong foundation of trust and reliability. As a comprehensive bank, they offer a wide array of financial products and services to cater to the diverse needs of their customers, including individuals, businesses, and communities. Customer satisfaction is of utmost importance to U.S. Bank. They prioritize delivering exceptional service and fostering long-term relationships with their clients. Through their extensive network of branches and advanced digital banking platforms, U.S. Bank ensures convenient access to their services, empowering customers to manage their finances efficiently and securely.
Industry
Banking and credit intermediation
Company size
10,000+ Employees
Headquarters location
Minneapolis, MN, US
Year founded
1863