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Computer Science Finance Jobs in Virginia (NOW HIRING)

Fanniemae

Audit Data Science Advisor

Reston, VA · On-site

S. economy, Fannie Mae is foundational to housing finance. Here, your expertise can help fuel ... Master's degree in Data Science, Economics, Mathematics, Statistics, Computer Science, or a related ...

Booz Allen Hamilton

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

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

Deloitte

Finance Analytics & AI Senior Consultant

Mclean, VA · On-site

$117K/yr

Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or Statistics * 4+ years of experience delivering analytics, machine learning ...

CACI International, Inc.

$155K/yr

A minimum 4-year STEM degree (Science, Technology, Engineering and Mathematics) required for this ... At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial ...

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Computer Science Finance information

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$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
Computer Vision AI Engineer

Computer Vision AI Engineer

Booz Allen Hamilton, Inc.

Mclean, VA • On-site

$99K - $225K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 11 days ago

Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 58 rated business consultants

Job description


Remote Work:
Hybrid
Job Number:
R0243369
Location:
McLean,VA,US
Share job via:
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Additional Locations:
  • Aurora, Colorado, USA
  • Chantilly, Virginia, USA
  • Colorado Springs, Colorado, USA
  • El Segundo, California, USA

Computer Vision AI Engineer
The Opportunity:
Booz Allen Hamilton is seeking an innovative and experienced AI Developer specializing in Computer Vision to join our growing team for Space solutions. In this role, you will leverage your expertise in artificial intelligence, data science, and machine learning engineering to train, test, deploy, and maintain models that learn from data.
You will collaborate with cross-functional teams to develop and deploy advanced computer vision models and systems, bringing significant technological advancements that drive mission success.
In this role, you'll contribute to the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You'll grow within a large community of machine learning engineers across the company and collaborate with a team of dedicated Space industry and AI professionals to deliver world-class solutions to solve missile warning problems in near-real-time.
What You'll Work On:
  • Develop and implement deep learning computer vision models, with a focus on sensor fusion and target tracking.
  • Collaborate with multidisciplinary teams to design, develop, test, and deploy technical solutions in Python, C++, and Rust.
  • Develop and maintain Fire Control Systems, ensuring robustness and accuracy in real-time applications.
  • Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision applications.
  • Contribute to the architecture and implementation of embedded systems programming using C, C++, or Rust.

Join us. The world can't wait.
You Have:
  • 7+ years of experience in sensor fusion and target tracking
  • Experience in deep learning for computer vision, including the use of transformer-based models such as DINO, CLIP, or SAM
  • Experience in artificial intelligence, data science, machine learning engineering, or software engineering
  • Secret clearance
  • Bachelor's degree in a Science, Technology, Engineering, or Mathematics (STEM) field

Nice If You Have:
  • Experience with embedded systems programming in C, C++, or Rust
  • Experience in GPU programming, including CUDA or RAPIDs
  • Experience with developing in-space solutions
  • Knowledge of modern software design patterns, including micro-service design and orchestration in Kubernetes deployment
  • TS/SCI clearance
  • Master's degree in Computer Science, Artificial Intelligence, or a related field

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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