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Manager 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

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

Whatnot

Data Scientist, Finance

San Francisco, CA · On-site

$194K - $215K/yr

In addition to 6+ years of experience in the Data Analytics/Science field, you should have: * A background with some form of Consulting, Fintech, Payments, or Finance; essentially, finance should not ...

Capital One

Manager, Data Scientist

Mclean, VA · On-site

Manager, Data Scientist Data is at the center of everything we do. As a startup, we disrupted the ... in their financial lives. Team Description In Capital One's Model Risk Office, we defend the ...

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$165K

$243.5K

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

As of Jun 12, 2026, the average yearly pay for manager data scientist finance in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

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

AspectManager Data Scientist FinanceData Scientist Finance
Required CredentialsBachelor's or Master's in Finance, Data Science, or related field; often leadership experienceBachelor's or Master's in Data Science, Statistics, or related field; technical skills emphasized
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersFocuses on data analysis, model development, and technical problem-solving
Employer & Industry UsageFinancial institutions, banks, investment firmsFinancial firms, fintech companies, banks

The main difference is that a Manager Data Scientist Finance oversees teams and projects, requiring leadership skills, while a Data Scientist Finance primarily focuses on technical data analysis and modeling. Both roles are common in financial services, but the manager role involves more strategic and managerial responsibilities.

How does a Manager Data Scientist in Finance typically collaborate with cross-functional teams to drive data-driven decision making?

As a Manager Data Scientist in Finance, you will frequently collaborate with professionals from risk, compliance, IT, and business strategy departments. Your role involves translating complex data analyses into actionable insights for stakeholders who may not have a technical background. Regular meetings, workshops, and presentations are common, as you guide teams on leveraging predictive models and analytics for financial forecasting, fraud detection, and process optimization. Effective communication and the ability to bridge the gap between data science and business strategy are essential for success in this collaborative environment.

What does a Manager Data Scientist in Finance do?

A Manager Data Scientist in Finance leads a team of data scientists to analyze financial data, build predictive models, and provide insights that support business decisions. They oversee data-driven projects related to risk analysis, fraud detection, investment strategies, and process optimization. This role often involves collaborating with stakeholders across the organization to identify opportunities for leveraging data and ensuring that analytical solutions align with business goals. Additionally, they are responsible for mentoring team members and ensuring data quality and compliance with regulations.

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

To thrive as a Manager Data Scientist in Finance, you need advanced expertise in statistics, financial modeling, and machine learning, typically supported by a degree in a quantitative field and relevant industry experience. Familiarity with programming languages like Python or R, data visualization tools, and financial analytics platforms such as Bloomberg or SAS is crucial. Exceptional leadership, communication, and problem-solving skills distinguish top performers in this role. These skills and qualities are vital for extracting actionable insights from complex data, guiding teams, and driving strategic decision-making in the financial sector.
What cities are hiring for Manager Data Scientist Finance jobs? Cities with the most Manager 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 Manager Data Scientist Finance jobs? States with the most job openings for Manager Data Scientist Finance jobs include:
Manager Data Scientist Finance jobs near you
Data Scientist, Finance

Data Scientist, Finance

Meta

New York, NY • On-site

Other

Posted 7 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

122nd of 188 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, ...

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Hours and flexibility

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