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Computer Science Finance Jobs in Georgia (NOW HIRING)

Splitit USA Inc seeks a Finance Systems & Operations Manager in Atlanta, GA. DUTIES: Perform system ... Bachelor's degree or foreign equivalent in Computer Science, Information Technology, Engineering ...

Required Qualifications • Bachelor's degree in Computer Science, Mathematics, Actuarial Science, Finance, Insurance, or a related field, or an equivalent combination of education and experience ...

Splitit USA Inc seeks a Finance Systems & Operations Manager in Atlanta, GA. DUTIES: Perform system ... Bachelor's degree or foreign equivalent in Computer Science, Information Technology, Engineering ...

... finance leadership and business stakeholders to translate analytical results into actionable ... Required : • Bachelor's degree in a quantitative field such as statistics, computer science ...

Early Talent Community

Buford, GA

$14.50 - $18.75/hr

Education Required: earned or anticipated Bachelor's degree in Business, Engineering, Computer Science, Finance, Accounting, or a related field. Technical degrees may also be considered for certain ...

Required : • Bachelor's degree in Computer Science, Data Science, Engineering, Applied Mathematics, Finance, or a related field. • 4-7+ years of proven experience in machine learning, data ...

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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 Jul 3, 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.

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.

What are popular job titles related to Computer Science Finance jobs in Georgia? 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:
Infographic showing various Computer Science Finance job openings in Georgia as of June 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Contract. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution, with an average salary of $78,216 per year, or $37.6 per hour.
Senior Product Analyst

Full-time

Posted 24 days ago


Job description

Overview
Job Purpose
ICE Clear Credit is the world's largest systemically important Clearinghouse for Credit Default Swaps (CDS). It is an entrepreneurial and aggressive organization that implements world-class clearing solutions.
ICE Clear Credit is seeking a Product Analyst to work closely with our internal Business and Technology teams to define end-to-end systems requirements for initiatives related to Clearinghouse systems.
Responsibilities
  • Produce detailed business and functional requirement specifications from existing systems, previous drafts, and SME interviews
  • Perform analysis including 'pre-development' Excel/VBA/Python based tools and prototypes that cover various what-if scenarios and use-cases that will ultimately assist with development, testing and support
  • Understand and identify dependencies/impacts to the entire ecosphere of ICCs Clearing Systems - proactively identify dependencies and impacts of changes to other clearing systems
  • Participate in overall technology architecture, design and implementation sessions with the development team, resolving questions and issues around business/functional requirements through release planning and prioritization.
  • Hands on involvement with QA and UAT test plan reviews and defining user acceptance criteria- ensuring the product delivers to its critical business requirements and objectives - and ensures high end-user satisfaction
  • Respond to technical and functional product questions raised by internal and external stakeholders

Knowledge and Experience
  • Bachelor's degree required. Master's degree (Computer Science, Finance, Financial Engineering, Mathematical Finance etc.) preferred.
  • Must have 5+ years prior experience in business analysis or product management and worked as a liaison between Business and Technology teams as part of the SDLC process.
  • Background in Fintech or Technology, with exposure to OTC Credit Derivatives and/or other OTC products such as Interest Rate Derivatives, Structured Products, or Options.
  • Experience working within an integrated technology environment - using relational databases, REST APIs and UIs to read and analyze data. Comfortable with documenting business and system requirements including documentation of comprehensive use-cases and working within iterative software development environment. Most importantly, being an integral part of the technology organization.
  • Deep analytical mindset, problem solving skills and can-do attitude.
  • Ability to plan, estimate and deliver timeframes in conjunction with Tech leads and Project Management.
  • Exceptional interpersonal communication, relationship management and organizational skills.
  • Should be able of evolving a product from its Minimum Viable Product (MVP) to its full target state through iterative development, with a strong focus on accelerating time to market.
  • Early career professionals with the above academic credentials - working in technology departments at financial institutions
  • Data analysis - Must have advanced proficiency with SQL, Microsoft Excel-VBA or Python.
  • Knowledge and practical experience with AI-assisted development tools such as Github Copilot, Claude, Cursor or similar platforms.

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Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.