ZipRecruiter

Log In

1

Computer Science Finance Jobs in Washington, DC (NOW HIRING)

SES

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

Booz Allen Hamilton

Computer Scientist

Washington, DC · 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 ...

Booz Allen Hamilton

Computer Scientist

Washington, DC · 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 ...

Booz Allen Hamilton

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 ...

Booz Allen Hamilton, Inc.

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 ...

previous pagenext page

Showing results 21-40

All JobsComputer Science Finance JobsComputer Science Finance Jobs in Washington, DC

Computer Science Finance information

See Washington, DC salary details

$28.3K

$104.9K

$153.5K

How much do computer science finance jobs pay per year?

As of Aug 18, 2026, the average yearly pay for computer science finance in Washington, DC is $104,914.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,900.00 and $123,500.00 per year, depending on experience, location, and employer.

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 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.

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 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.

Can computer science work in finance?

Computer science professionals can work in finance by developing algorithms, managing data systems, and creating financial models. Skills in programming, data analysis, and knowledge of financial concepts are essential for roles such as quantitative analyst, financial software developer, or risk analyst.
More about Computer Science Finance jobs

What are popular job titles related to Computer Science Finance jobs in Washington, DC?

For Computer Science Finance jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Computer Science Finance jobs in Washington, DC look for?

The top searched job categories for Computer Science Finance jobs in Washington, DC are:

Computer Science Finance jobs near you
Infographic showing various Computer Science Finance job openings in Washington, DC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $104,914 per year, or $50.4 per hour.

Cryptologic Computer Scientist 2

IntelliGenesis LLC

Annapolis, MD • On-site

$88K - $121K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 11 days ago

Job description

Job Duties
  • Design, develop, deliver and operate solutions to hard cryptologic computer science problems within a scientific framework
  • Solutions may arise in the forms of forensics and attack attribution, protection of critical networks, active systems warnings and indicators, active penetration into target systems, knowledge discovery of passive and active systems, or other cryptologic computer science mission support
  • Requisite computer science skills (operating systems, compiler theory, database theory, algorithm analysis, computer architecture, discrete math, programming language theory, and data structures) are applied to each problem to provide state of the art techniques, tools and approaches

Required Skills:
  • US Citizens Only
  • Active TS/SCI Clearance and Polygraph required
  • Minimum of two (2) years of relevant experience and a Doctoral degree or three (3) years of relevant experience and a Master's degree five (5) years of relevant experience and a Bachelor's degree required
  • Seven (7) years of relevant experience and an Associate's degree may be considered
  • Degree in must be in Computer Science; related fields (e.g., Engineering, Mathematics) may be considered depending on program content
  • Relevant experience must be in one or more of the following:
    • Computer systems research
    • Simulation/model development and prototyping
    • Software design
    • Programming
    • Computational science
    • Algorithm analysis and design
    • Reverse engineering
    • Designing/developing computer or information systems including engineering hardware and/or software

Compensation Range: $88,000 - $121,000
Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidate's scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements and alignment with local market data.
Our compensation includes other indirect financial components designed to support employees' total well-being, which should be considered when evaluating our competitive benefits package. These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs.
IntelliGenesis is committed to providing equal opportunity to all employees and applicants for employment. The Company is an Equal Opportunity Employer (EOE), and as such, does not tolerate discrimination, retaliation, or harassment of its employees or applicants based upon race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or any other protected characteristic under local, state, or federal law in any employment practice. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment, or recruitment advertising, selection, disciplinary action layoff, termination, rates of pay, or other forms of compensation and selection of training.
IntelliGenesis is committed to the fair and equal employment of individuals with disabilities. It is the Company's policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the organization. In accordance with the Americans with Disabilities Act (ADA) as amended, reasonable accommodations will be provided to qualified individuals with disabilities, when such accommodations are necessary, to enable them to perform the essential functions of their jobs or to enjoy the equal benefits and privileges of employment. This policy applies to all applicants for employment and all employees.

Apply