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Computer Science Finance Jobs in Georgia (NOW HIRING)

CirrusLabs

Data Scientist & Analyst

Alpharetta, GA · On-site

Required : • Bachelor's or Master's degree in Data Science, Analytics, Computer Science, Finance, or a related field. • 3-5+ years of experience in data science, business analytics, or cost ...

VeeRteq Solutions Inc.

Data Scientist

Johns Creek, GA · On-site

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics ... Experience in healthcare, life sciences, finance, retail, or relevant industry domains. * Knowledge ...

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All JobsComputer Science Finance JobsComputer Science Finance Jobs in Georgia

Computer Science Finance information

See Georgia salary details

$21.1K

$78.2K

$114.4K

How much do computer science finance jobs pay per year?

As of Sep 9, 2026, the average yearly pay for computer science finance in Georgia is $78,216.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,300.00 and $92,000.00 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

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

What job categories do people searching Computer Science Finance jobs in Georgia look for?

The top searched job categories for Computer Science Finance jobs in Georgia are:

What cities in Georgia are hiring for Computer Science Finance jobs?

Cities in Georgia with the most Computer Science Finance job openings:

Computer Science Finance jobs near you
Infographic showing various Computer Science Finance job openings in Georgia 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 $78,216 per year, or $37.6 per hour.

Cryptanalytic Computer Scientist 4

Augusta, GA • On-site

IntelliGenesis
IT Services • 51 - 200 employees
Learn more about IntelliGenesisexternal

Full-time

Medical, Life, Retirement, PTO

Posted 22 days ago

Key responsibilities

  • Design, develop, and evaluate mathematical models, methods, and techniques related to cryptanalysis.

  • Apply theoretical or applied computer science, engineering, or high-performance computing skills to study issues and solve problems in cryptanalysis.

  • Utilize relevant experience in computer science or engineering fields to support cryptanalytic activities.

Job description

Required Skills:

  • US Citizens Only
  • Active TS/SCI Clearance and Polygraph required
  • Minimum of a Bachelor's degree plus 11 (eleven) years of relevant experience or a Master's degree plus 9 (nine) year of relevant experience or a Doctoral degree plus 7 (seven) years of relevant experience. An Associate's degree plus 13 (thirteen) years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.
  • Degree must be in Computer Science, Computer Engineering, Electrical Engineering, Mathematics (including Applied Math); or a related field (i.e., other Engineering or Math) with at least one programming and at least 4 (four) upper-level math classes (Calculus and above).
  • Relevant experience must be in a computer science area (i.e. theoretical or applied),
    designing/developing/using/evaluating mathematic models, methods, and/or techniques (e.g., algorithm development) to study issues and solve problems, engineering (electrical or computer), and/or high performance computing.

Compensation Range: $76,000- $167,000

_____________________________________________________________________________________________________

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.

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