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Financial Data Scientist Jobs in Washington (NOW HIRING)

Blu Omega LLC

Data Scientist

Washington, DC · On-site

$120 - $180/hr

Data Scientist Washington, DC / Onsite Blu Omega is seeking a Data Scientist to support a federal ... Program Overview A federal agency manages financial data analysis to ensure compliance, detect ...

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 ...

Elder Research

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 ...

Offices, Boards and Divisions

Data Scientist

Washington, DC · On-site +1

$143K - $187K/yr

Identify reliable budgetary and financial data for improving the delivery of data-driven policies ... Mathematics, statistics, computer science, data science or field directly related to the position.

New

Elder Research

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 ...

Elder Research

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 ...

Elder Research

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 ...

Elder Research

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 ...

Elder Research

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 ...

Elder Research

Data Scientist

Arlington, VA

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 ...

ManTech

Data Scientist

Arlington, VA

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 ...

New

ManTech

Data Scientist

Arlington, VA

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 ...

New

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All JobsFinancial Data Scientist JobsFinancial Data Scientist Jobs in Washington

Financial Data Scientist information

See Washington salary details

$42.5K

$139K

$222.6K

How much do financial data scientist jobs pay per year?

As of Aug 29, 2026, the average yearly pay for financial data scientist in Washington is $139,013.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,600.00 and $154,000.00 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.

What are popular job titles related to Financial Data Scientist jobs in Washington?

For Financial Data Scientist jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Financial Data Scientist jobs in Washington look for?

The top searched job categories for Financial Data Scientist jobs in Washington are:

What cities in Washington are hiring for Financial Data Scientist jobs?

Cities in Washington with the most Financial Data Scientist job openings:

Financial Data Scientist jobs near you
Infographic showing various Financial Data Scientist job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, 2% Temporary, and 7% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $139,013 per year, or $66.8 per hour.

Data Scientist

Blu Omega LLC

Washington, DC • On-site

$120 - $180/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

Data Scientist

Washington, DC / Onsite

Blu Omega is seeking a Data Scientist to support a federal program focused on financial data analysis. This role operates within a government environment and is responsible for processing, analyzing, and visualizing complex financial datasets to support mission objectives. The position requires experience working with large-scale data environments, particularly those involving financial transactions and mission-critical information.

Program Overview

A federal agency manages financial data analysis to ensure compliance, detect suspicious activity, and support financial investigations.

Key Details

Location: Washington, DC

Clearance: Active Top Secret/SCI clearance required

Responsibilities
  • Retrieve, process, and analyze financial data sets, including Bank Secrecy Act data and related transaction information.
  • Perform entity resolution and data cleansing to ensure data quality and integrity across large datasets.
  • Develop and implement analytical models and algorithms using quantitative techniques such as statistical sampling, regression analysis, link analysis, geospatial analysis, social network analysis, and data mining.
  • Use agency tools and platforms to query, filter, and visualize data using search capabilities like BSA Search and Transaction Grid Search.
  • Create custom datasets, queries, and code to support analytical workflows and reporting needs.
  • Communicate project progress, analytical findings, and recommendations clearly to senior management and stakeholders.
Required Qualifications
  • Experience working with large-scale financial data environments, including transactional data from SWIFT, CHIPS, and book transfer systems.
  • Knowledge of Bank Secrecy Act data, including SARs, CTRs, and Form 8300 filings.
  • Proficiency with Python, Jupyter Notebook, R, NumPy, pandas, and scikit-learn.
  • Strong foundation in statistical methods and data analysis techniques.
  • Ability to analyze large datasets to identify trends and patterns and deliver actionable insights.
Preferred Qualifications
  • Experience in data mapping, cleansing, and data validation.
  • Understanding of international bank wire transfer formats, including SWIFT, CHIPS, and book transfer systems.
  • Experience communicating analytical results to senior leaders and stakeholders.
  • Ability to work effectively in a team environment and manage multiple priorities.
Compensation

Salary Range: $120,000.00 - $180,000.00

Final compensation is based on technical skills, experience, education, certifications, and clearance.

Blu Omega Benefits & Perks
  • Medical, Dental, and Vision coverage through national providers
  • 401(k) with company match (eligible after 6 months; vesting applies)
  • Company-paid Life and AD&D insurance with additional voluntary options
  • Short-term disability (company-paid) and long-term disability options
  • Employee Assistance Program (EAP) with 24/7 confidential support and mental health resources
  • Telehealth and virtual care options available through medical plans
  • Pet insurance, legal services, and identity theft protection options
  • Paid Time Off (PTO) for eligible employees
  • Paid federal holidays for salaried employees
  • Access to wellness programs, discounts, and lifestyle benefits
  • Benefits eligibility and offerings may vary based on role, employment status, and program requirements.
Company Overview

Blu Omega is a Woman-Owned Small Business (WOSB) delivering technology and cybersecurity solutions to federal agencies and enterprise clients nationwide. Headquartered in Ashburn, VA, we support mission-critical programs across civilian and defense sectors, including health, national security, and regulatory environments.

Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.

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