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Data Scientist Finance Jobs (NOW HIRING)

Meta

Data Scientist, Finance

New York, NY · On-site

Meta is seeking a Data Scientist to join the data science team in the Finance organization that partners very closely with Product, AI, Infrastructure,

Meta

Data Scientist, Finance

Bellevue, WA · On-site

$210K - $281K/yr

Meta is seeking a Data Scientist to join the data science team in the Finance organization that partners very closely with Product, AI, Infrastructure, Finance and other Data Science teams across the ...

Meta

Data Scientist, Finance

Bellevue, WA · On-site

Meta is seeking a Data Scientist to join the data science team in the Finance organization that partners very closely with Product, AI, Infrastructure,

Figma

Data Scientist, Finance

San Francisco, CA · On-site

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 ...

New

Figma

Data Scientist, Finance

San Francisco, CA · On-site +1

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 ...

New

Entergy

Data Scientist

New Orleans, LA · On-site

D. in economics, mathematics, statistics, computer science, finance, engineering or other analytical field. Experience required of the position: * Data Scientist I: 0 - 2 years in a data analytics ...

Entergy

Data Scientist

New Orleans, LA

D. in economics, mathematics, statistics, computer science, finance, engineering or other analytical field. Experience required of the position: * Data Scientist I: 0 - 2 years in a data analytics ...

Continental Finance

Data Scientist

Wilmington, DE · Hybrid

Continental Finance Company specializes in credit card options for those consumers with less than perfect credit. We are seeking a Data Scientist to support our Data Science team. The Data Scientist ...

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How much do data scientist finance jobs pay per year?

As of Jun 14, 2026, the average yearly pay for data scientist finance 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 is a Data Scientist Finance job?

A Data Scientist in Finance leverages data analysis, statistical modeling, and machine learning techniques to extract insights from financial data. They work on tasks like risk modeling, fraud detection, algorithmic trading, and customer analytics. Their role involves cleaning and processing large datasets, building predictive models, and providing data-driven recommendations to improve financial decision-making. Strong programming skills in Python or R, experience with databases, and knowledge of finance and economics are essential for success in this role.

How much do data scientists in finance make?

Data scientists in finance typically earn between $80,000 and $150,000 annually, with senior roles or those in major financial hubs earning higher salaries. Compensation depends on experience, skills in programming and statistical analysis, and the size of the organization.

What is the salary of data scientist in JP Morgan?

The average salary for a Data Scientist at JP Morgan typically ranges from $90,000 to $130,000 annually, depending on experience, location, and skill set. Senior roles or those with specialized skills in machine learning or finance may earn higher compensation, often supplemented with bonuses and benefits.

Is 40 too late for data science?

Data Scientist roles in finance and other industries do not have strict age limits, and many professionals start or transition into data science later in their careers. Success depends on skills such as programming, statistical analysis, and experience with tools like Python or R, rather than age. Continuous learning and relevant certifications can enhance employability at any age.

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

To thrive as a Data Scientist Finance, you need a strong background in statistics, data analysis, financial theory, and typically a degree in a quantitative field such as mathematics, finance, or computer science. Proficiency with programming languages like Python or R, expertise in data visualization tools, experience with SQL, and familiarity with machine learning libraries are highly valued, along with certifications such as CFA or FRM being advantageous. Excellent communication, problem-solving, and business acumen are crucial soft skills for conveying analytical insights and collaborating with cross-functional teams. These abilities are essential for delivering actionable financial insights that support strategic decision-making and drive business performance.

What are typical challenges faced by Data Scientists working in the finance sector?

Data Scientists in finance often work with large and complex datasets that require rigorous data cleaning and validation to ensure accuracy. They must also navigate strict regulatory requirements and data privacy rules, which can impact how data is processed and shared. Additionally, translating complex analytical models into actionable insights for stakeholders who may not have a technical background is a common challenge. Strong problem-solving skills, clear communication, and continuous learning are key to overcoming these hurdles and succeeding in the role.

Can a data scientist work in finance?

Yes, data scientists can work in finance, where they analyze large datasets to develop predictive models, assess risk, and inform investment decisions. Skills in statistical analysis, machine learning, and programming tools like Python or R are highly valued in financial roles.
More about Data Scientist Finance jobs
What cities are hiring for Data Scientist Finance jobs? Cities with the most 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 Data Scientist Finance jobs? States with the most job openings for Data Scientist Finance jobs include:
What job categories do people searching Data Scientist Finance jobs look for? The top searched job categories for Data Scientist Finance jobs are:
Data Scientist Finance jobs near you
Infographic showing various Data Scientist Finance job openings in the United States as of June 2026, with employment types broken down into 83% Full Time, 6% Part Time, and 11% Contract. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist, Finance

Data Scientist, Finance

Meta

New York, NY • On-site

Other

Posted 9 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

121st of 190 rated software companies

Job description

Meta is seeking a Data Scientist to join the data science team in the Finance organization that partners very closely with Product, AI, Infrastructure, ...

What Meta employees say

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