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Computer Science Finance Jobs in Virginia (NOW HIRING)

Bachelor's degree in computer science, finance, economics, statistics or related fields. * 5 plus years of work experience, knowledge of mortgage financing is highly desirable. * Fluent in ...

Computer Scientist

Mclean, VA · On-site

$99K - $225K/yr

Your deep data science expertise coupled with an original approach to your work will help clients ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

Your deep data science expertise coupled with an original approach to your work will help clients ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

Python/Gen AI Developer

Reston, VA · On-site

$52.25 - $72/hr

Bachelor s degree in Computer Science, Data Science, Finance, or a related field Jake Lutman Technical Recruiter Systems Engineering Services

Gen AI/Python Developer

Reston, VA · On-site

$52.25 - $72/hr

Bachelor s degree in Computer Science, Data Science, Finance, or a related field Jake Lutman Technical Recruiter Systems Engineering Services

AI/Python Developer

Reston, VA · On-site

$52.25 - $72/hr

... Computer Science, Data Science, Finance, or a related field Jake Lutman Technical Recruiter Systems Engineering Services

Python/GenAI Developer

Herndon, VA · On-site

$51.75 - $71.25/hr

Education B Bachelor s degree in Computer Science, Data Science, Finance, or a related field. About SES: Systems Engineering Services Corporation (SESC), founded in 1989, is a leading provider of ...

Python/GenAI Developer

Herndon, VA · On-site

$51.75 - $71.25/hr

Education B Bachelor s degree in Computer Science, Data Science, Finance, or a related field. About SES: Systems Engineering Services Corporation (SESC), founded in 1989, is a leading provider of ...

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Computer Science Finance information

See Virginia salary details

$24.8K

$91.8K

$134.3K

How much do computer science finance jobs pay per year?

As of Jun 5, 2026, the average yearly pay for computer science finance in Virginia is $91,837.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,400.00 and $108,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in Computer Science Finance, and why are they important?

To thrive in Computer Science Finance, you need strong analytical and programming skills, a solid understanding of financial concepts, and typically a degree in computer science, finance, or a related field. Familiarity with financial modeling tools, database management systems, and programming languages like Python, R, or SQL is highly valued, along with certifications such as CFA or FRM. Excellent problem-solving abilities, attention to detail, and effective communication are essential soft skills for collaborating with diverse teams and interpreting complex data. These skills are crucial for developing innovative financial solutions, ensuring data integrity, and driving informed decision-making in the fast-paced finance industry.

How does a professional in Computer Science Finance typically collaborate with both technical and financial teams?

Professionals in Computer Science Finance often serve as a bridge between technology and finance departments, translating financial requirements into technical solutions. They might collaborate closely with software engineers to develop financial models or automation tools, and work with analysts or traders to understand market needs and ensure technical solutions align with business goals. Effective communication is key, as they regularly participate in cross-functional meetings, manage project timelines, and provide updates to both technical and non-technical stakeholders. This role requires adaptability and the ability to explain complex concepts in accessible terms.

What is computer science finance?

Computer science finance is an interdisciplinary field that combines principles of computer science with finance. Professionals in this area use technology and programming to analyze financial data, develop trading algorithms, manage risk, and optimize investment strategies. Careers in computer science finance often involve roles such as quantitative analyst, financial software developer, or data scientist for investment firms, banks, or fintech companies. This field requires skills in programming (often Python, R, or C++), data analysis, and a solid understanding of financial markets and instruments.

What is the difference between Computer Science Finance vs Data Analyst?

AspectComputer Science FinanceData Analyst
Required CredentialsBachelor's in Computer Science, Finance, or related fields; certifications like CFA or FRM beneficialBachelor's in Statistics, Economics, or related fields; certifications like CAP or Microsoft Data Analyst
Work EnvironmentFinancial institutions, tech firms, investment banks; often collaborative and fast-pacedCorporate offices, consulting firms, financial services; data-driven and analytical
Employer & Industry UsageFinance, banking, fintech, tech companiesFinance, marketing, healthcare, consulting

Computer Science Finance professionals combine technical skills with financial knowledge to develop algorithms, models, and software for financial analysis and trading. Data Analysts focus on interpreting data to inform business decisions across various industries. While both roles require analytical skills, Computer Science Finance emphasizes programming and financial expertise, whereas Data Analysts concentrate on data interpretation and reporting.

Data Analyst w/heavy Mortgage

Data Analyst w/heavy Mortgage

Syntricate Technologies

Mclean, VA • Hybrid

Other

This job post has expired today. Applications are no longer accepted.


Job description

W2 Data Analyst W/heavy Mortgage + Financials

Data Analyst Specialist (Lead Financial Analyst)

6 month contract

McLean VA- onsite 3 days per week

Qualifications:

  • Bachelor's degree in computer science, finance, economics, statistics or related fields.
  • 5 plus years of work experience, knowledge of mortgage financing is highly desirable.
  • Fluent in programming languages include python and SQL.
  • Knowledge of Unix operating system and shell scripts.
  • Keys to Success in this Role:
  • Deep curiosity to learn with critical thinking.
  • Strong verbal and written communication skills.
  • Strong data analysis ability.
  • Ability to work under limited direction independently to identify issues and solve problems.

Must Have Qualifications:

  • Strong understanding of finance terms. Python, SQL, familiar with Unix environment for research purposes, BA in Computer science, finance, economics required. Prefer mortgage experience