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Computer Science Finance Jobs in Virginia (NOW HIRING)

ECS

Data Scientist

Springfield, VA · On-site

A Bachelor's Degree in Data Science, Math, Finance, Statistics, Information Management, Computer Science, Engineering, Economics or an equivalent field * 5+ years of working experience in one of the ...

Booz Allen Hamilton

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

In this role, you will leverage your expertise in artificial intelligence, data science, and ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

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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 Jul 3, 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.

How is computer science used in finance?

Computer science in finance involves developing algorithms and software for trading, risk management, and data analysis. Professionals use programming languages like Python and tools such as machine learning models to optimize financial decision-making and automate processes.

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.

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.

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.

Is finance and computer science a good combo?

Computer Science Finance combines technical programming skills with financial knowledge, making it valuable in areas like quantitative analysis, algorithmic trading, and financial modeling. Professionals in this field often use tools like Python, R, and SQL, and benefit from certifications such as CFA or FRM to enhance career prospects.

Can you get a finance job with a computer science degree?

A computer science degree can qualify you for finance jobs such as quantitative analyst, financial software developer, or data analyst, especially if you have skills in programming, data analysis, and financial modeling. Many finance roles value technical expertise, coding skills, and knowledge of financial tools like Excel, SQL, or Python. Additional certifications like CFA or FRM can enhance prospects in finance positions requiring specialized financial knowledge.

Is computer science dead due to AI?

Computer science remains a vital field for roles such as software developers, data scientists, and AI specialists. AI advances create new opportunities for innovation, requiring skills in programming, algorithms, and machine learning tools, ensuring continued demand for computer science expertise.

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 Are Finance Jobs for Computer Science Majors?

Finance jobs for computer science majors focus on the analysis of financial data, the development of finance technology (fintech) software and applications to analyze financial markets and automate equities trading, and the creation of algorithms for analysis, fraud detection, and risk management. As a data scientist or quantitative analyst, you perform your duties for an investment firm or bank. If you are a risk management analyst, you work for financial institutions or life insurance companies. A computer science major can also develop software and configure databases for finance businesses or have cybersecurity responsibilities that include protecting data and systems from hackers.

More about Computer Science Finance jobs
What are popular job titles related to Computer Science Finance jobs in Virginia? For Computer Science Finance jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Computer Science Finance jobs in Virginia look for? The top searched job categories for Computer Science Finance jobs in Virginia are:
Computer Science Finance jobs near you
Senior Consultant, Financial Systems Engineering

Senior Consultant, Financial Systems Engineering

FI Consulting

Arlington, VA • On-site

$134K/yr

Full-time

Posted 28 days ago

Job description

FI Consulting is seeking a highly motivated Senior Consultant who combines software engineering, data analytics, finance, and AI-enabled problem solving to build impactful solutions for complex client challenges. This person will lead teams to design, develop, and deploy solutions that drive measurable outcomes, operating at the intersection of consulting, development, and advanced analytics, and working directly with clients and stakeholders.
Responsibilities
  • Design and build financial models, analytical tools, or technical solutions
  • Translate client problems into structured models or systems
  • Build and maintain data pipelines, APIs, and cloud-based systems (AWS or similar)
  • Develop software, scripts, or systems to automate workflows
  • Use AI to improve speed and quality of deliverable
  • Communicate findings to both technical and non-technical stakeholders
  • Lead teams to successfully deliver project solutions
  • Manage Agile delivery (design, coding, testing, CI/CD, deployment)

Required Qualifications
  • Bachelor's degree in Math, Computer Science, Finance, or related field
  • 5-10 years of experience software development, quantitative finance, or technical consulting
  • Strong programming skills in Python, R, SQL, Java, etc.
  • Experience leading technical workstreams, including solution design and team development
  • Experience with cloud platforms (AWS preferred)
  • Experience working with complex datasets
  • Consulting skills including problem-solving, communication, stakeholder management

Preferred Qualifications
  • Experience building end-to-end systems or applications
  • Exposure to full-stack development or system architecture
  • Experience in banking, finance, housing, real estate or capital markets
  • Experience in consulting

Ideal Candidate Profile
  • Leadership and ownership of specific outcomes
  • Learn and apply new technologies quickly
  • Proactively identify opportunities to improve processes and efficiency
  • Shows intellectual curiosity and initiative beyond formal requirements
  • Passion for using AI to accomplish all of the above

Additional requirements:
  • Authorized to work in the United States as a US Citizen. We are not able to accept permanent resident or sponsor or accept any VISA Holders at this time including OPT, H1B, EAD
  • Successfully pass a background investigation and drug screening
  • Reside in the DC Metro area within 30 days of hire

FLSA Designation
  • This is an exempt position.
  • FI Consulting participates in E-Verify.
  • Equal Employment Opportunity/disability/protected veteran status.
  • FI Consulting is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you need special assistance or an accommodation while seeking employment, please email recruiting@ficonsulting.com or call: 571-255-6772. We will make a determination on your request for reasonable accommodation on a case-by-case basis.

AI plays only a supporting role in our recruitment process. All decisions are made by human members of our talent acquisition team.

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