ZipRecruiter

Log In

1

Financial Data Scientist Jobs (NOW HIRING)

East West Bank

Financial Crimes Data Scientist

Houston, TX · On-site

$100 - $200/hr

Overview Financial Crimes Data Scientist specializing in the development, deployment, and optimization of in-house AML and fraud detection models. Leverages machine learning, network analytics, and ...

Figma

Data Scientist, Finance

... Scientist to enhance their financial data systems ... This role involves building data foundations for financial reporting, forecasting, and strategic ...

Dynamis, Inc.

Data Scientist

Washington, DC · On-site

$90K - $130K/yr

Dynamis is seeking a Data Scientist to support FinCEN's Global Investigations Division (GID). The ... Work with large data environments storing financial transactions or other critical data, including ...

Dynamis, Inc.

Data Scientist

Washington, DC

$90K - $130K/yr

Dynamis is seeking a Data Scientist to support FinCEN's Global Investigations Division (GID). The ... Work with large data environments storing financial transactions or other critical data, including ...

Dynamis, Inc.

Data Scientist

Washington, DC · On-site

$90K - $130K/yr

Dynamis is seeking a Data Scientist to support FinCEN's Global Investigations Division (GID). The ... Work with large data environments storing financial transactions or other critical data, including ...

Figma

Data Scientist, Finance

San Francisco, CA · On-site

As a public company, the accuracy, scalability, and sophistication of our financial data systems ... We're looking for a Finance Data Scientist to help build the data foundation that powers financial ...

Tao Digital Solutions, Inc.

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 ...

Snowflake

Staff Data Scientist, Finance

Menlo Park, CA · On-site

$184K - $264K/yr

Staff Data Scientist, Finance About the Team The Finance Data Science team builds the forecasting ... Snowflake's financial planning, operating cadence, and long-term strategy. Our work informs ...

Billgo,-Inc.-1

AI Data Scientist

Fort Collins, CO · On-site

$120 - $180/hr

About the RoleWe're looking for a Data Scientist with deep AI and machine learning expertise to ... Your models will have a direct impact on financial decisions, operational efficiency, and customer ...

BillGO, Inc.

AI Data Scientist

Fort Collins, CO · On-site

About the Role We're looking for a Data Scientist with deep AI and machine learning expertise to ... Your models will have a direct impact on financial decisions, operational efficiency, and customer ...

BillGO, Inc.

AI Data Scientist

Fort Collins, CO · On-site

$102K - $146K/yr

About the Role We're looking for a Data Scientist with deep AI and machine learning expertise to ... Your models will have a direct impact on financial decisions, operational efficiency, and customer ...

next page

Showing results 1-20

All JobsFinancial Data Scientist Jobs

Financial Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do financial data scientist jobs pay per year?

As of Aug 22, 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 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.

What are the key skills and qualifications needed to thrive as a financial data scientist?

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.

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.

What is the difference between Financial Data Scientist vs Quantitative Analyst?

AspectFinancial Data ScientistQuantitative Analyst
Required CredentialsDegree in Finance, Data Science, or related fields; often certifications like CFA or FRMDegree in Mathematics, Statistics, Finance; CFA or FRM common
Work EnvironmentFinancial institutions, tech firms, investment firms; focus on data modeling and predictive analyticsInvestment banks, hedge funds, asset management; focus on trading strategies and risk modeling
Employer & Industry UsageUsed across finance and tech sectors for data-driven decision makingPrimarily 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.

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:

Financial Data Scientist jobs near you
Infographic showing various Financial Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Financial Crimes Data Scientist

East West Bank

Pasadena, CA • On-site

$100 - $200/hr

Other

Re-posted 14 days ago

East West Bank rating

7.2

Company rating: 7.2 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

116th of 171 rated banks

Job description

Overview

Financial Crimes Data Scientist specializing in the development, deployment, and optimization of in-house AML and fraud detection models. Leverages machine learning, network analytics, and large-scale financial data to identify emerging threats, enhance detection effectiveness, reduce false positives, and support regulatory compliance across financial crime risk programs.

Responsibilities

A Financial Crimes Data Scientist develops, validates, and deploys advanced analytics and machine learning solutions to detect, prevent, and investigate financial crimes, including money laundering, fraud, sanctions violations, and terrorist financing.

Key Responsibilities
  • Design, build, validate, and deploy in-house detection models for AML, fraud, and other financial crime risks.
  • Develop risk-scoring, anomaly detection, predictive, and network analytics models using internal and external data sources.
  • Create and optimize transaction monitoring scenarios and machine learning-driven alert generation frameworks.
  • Implement model deployment pipelines and production monitoring to ensure effectiveness and regulatory compliance.
  • Conduct feature engineering, model tuning, and performance assessment to improve precision, recall, and operational efficiency.
  • Partner with Compliance, BSA/AML, Fraud, Investigations, and Technology teams to translate emerging risks into scalable detection strategies.
  • Reduce false positives while increasing the identification of high-risk activity and suspicious behavior.
  • Support model governance, validation, documentation, and regulatory examinations.
  • Perform other duties as assigned.
Core Expertise
  • Financial Crime Risk Management
  • AML/BSA Compliance
  • Fraud Analytics
  • Machine Learning & AI
  • Graph and Network Analytics
  • Entity Resolution
  • Transaction Monitoring
  • Model Development & Deployment
  • Python, SQL, Spark, Databricks
  • Cloud Analytics Platforms (Azure/AWS)
Qualifications
  • Programming Skills – knowledge of statistical programming languages like R,Python, and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage.
  • Statistics – Good applied statistical skills, including knowledge of statistical tests, behavior clustering, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies.
  • Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques.
  • Data Wrangling – proficiency in handling imperfections in data is an important aspect of a data scientist job description.
  • Experience with Data Visualization Tools like Tableau and Power BI that help to visually encode data
  • Network/Link Analytics
  • Excellent Communication Skills – it is incredibly important to describe findings to a technical and non-technical audience.
  • Strong Software Engineering Background
  • Hands-on experience with data science tools
  • Problem-solving aptitude
  • Analytical mind and great business sense

Applicants must have legal authorization to work in the United States. We do not offer visa sponsorship at this time.

Compensation

The base pay range for this position is USD $100,000.00/Yr. - USD $200,000.00/Yr. Exact offers will be determined based on job-related knowledge, skills, experience, and location.

#J-18808-Ljbffr

What East West Bank employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply