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Computer Science Finance Jobs in Atlanta, GA (NOW HIRING)

Bachelor's degree in Computer Science, Finance, or related discipline. MBA/Master's Degree desired. * 5 plus years of experience in a similar role Required Qualifications: * Strong understanding of ...

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 ...

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 ...

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Computer Science Finance information

See Atlanta, GA salary details

$24K

$89.1K

$130.3K

How much do computer science finance jobs pay per year?

As of Jun 12, 2026, the average yearly pay for computer science finance in Atlanta, GA is $89,080.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,100.00 and $104,800.00 per year, depending on experience, location, and employer.

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 CS useful in finance?

Computer Science (CS) is highly useful in finance, as it provides skills in programming, data analysis, and algorithm development that are essential for quantitative analysis, trading algorithms, and financial modeling. Many finance roles require knowledge of programming languages like Python or R, and familiarity with data structures and databases enhances efficiency in managing large datasets. CS expertise can improve decision-making and automate processes in financial services.

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

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

Can I make 200K with a computer science degree?

Computer science professionals can reach a $200,000 salary with experience in high-demand roles such as software engineering, data science, or cybersecurity, especially in senior or specialized positions. Achieving this often requires advanced skills, certifications, and working in competitive industries or locations with high living costs. Salary levels vary based on factors like location, company size, and individual 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 jobs make $1,000,000 a year?

In the field of computer science finance, roles such as senior quantitative analysts, hedge fund managers, and chief technology officers at large financial firms can earn $1,000,000 or more annually. These positions typically require advanced skills in programming, data analysis, and financial modeling, along with extensive experience and often performance-based bonuses or profit sharing.

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.

Infographic showing various Computer Science Finance job openings in Atlanta, GA as of June 2026, with employment types broken down into 6% Internship, 82% Full Time, 9% Part Time, and 3% Contract. Highlights an 81% In-person, 3% Hybrid, and 16% Remote job distribution, with an average salary of $89,080 per year, or $42.8 per hour.

Senior Risk Analyst, Business Analytics

Stellantis Financial Services US

Atlanta, GA

Full-time

Posted 13 days ago


Job description

Stellantis Financial Services (SFS) is the new captive finance company for one of the world's leading automakers and a mobility provider with iconic brands including Abarth, Alfa Romeo, Chrysler, Citroën, Dodge, DS Automobiles, Fiat, Jeep®, Lancia, Maserati, Opel, Peugeot, Ram, Vauxhall, Free2move and Leasys.

Our exciting growth provides opportunities to advance your career as we successfully lead products and services from a small to midsize company in just a few years. Join our world class team and culture and contribute to our core mission which is enhancing our customer's experience.

Position Summary:

The Senior Risk Analyst, Business Analytics, will be responsible for utilizing advanced analytical techniques and tools to provide data and reporting to various departments to facilitate identification, documentation, analysis, monitoring, mitigation and tracking of risks for Stellantis Financial Services as an organization. The Senior Risk Analyst, Business Analytics, will also collaborate with other branches of the Risk department, as well as with management from other departments in various business capacities.

Essential Duties and Responsibilities:

  • Uses quantitative and analytical skills to mine, process and analyze data using SQL, Fabric, R, Python, SAS, Power BI, MS Excel or similar spreadsheet programs, and other business tools.
  • Develops and presents analysis on performance, trends, and projections to upper management to facilitate business and strategic decisions.
  • Prepares and distributes recurring and ad-hoc analysis and reporting on portfolios including performance and projections.
  • Provides easy-to-understand, action-oriented analytical reports and other presentations to the management team.
  • Build, recalibrate, and validate advanced predictive models.
  • Identifies and evaluates portfolio trends and KPIs with respect to market valuations, depreciation, residuals, and other factors.
  • Trouble-shoots data deficiencies and errors to ensure timely and accurate analysis of the data.
  • Confers with IT and functional business lines to evaluate, design, implement, and maintain relational databases and/or large data sets.
  • This position involves regular access to sensitive consumers personal information, including, but not limited to, Social Security numbers and dates of birth.
  • Other duties as assigned.

Required Experience:

  • Five (5) years of experience in data analytics, such as data mining, business analytics and databases.
  • Proficient with SQL, Fabric, Python, R or other business intelligence software.
  • Proficient with using Microsoft Office Suite applications such as Excel, PowerPoint, Word, and Power BI.
  • Ability to work with mathematical concepts such as probability and statistical inference and apply concepts to practical situations.
  • Experience with statistical analysis software/languages (R, Python, SQL, & SAS) in addition to training in statistical modeling, data analysis, or computer programing.
  • Detail oriented with problem solving and critical thinking abilities.
  • Ability to apply common sense understanding to practical situations when carrying out instructions furnished in written, oral, or diagram form.
  • Effective verbal and written communication and interpersonal skills.

Education:

  • Bachelor’s Degree in: Mathematics, Statistics, Economics, Computer Science, Finance, or other quantitative fields.

Overtime required – required on an as needed basis.

  • Travel 0-10% - as required on an as needed basis.
  • Must have reliable transportation and live within a commutable distance to one of the following cities: Atlanta, GA; Dallas, TX.

Qualifications Preferred:

  • Master’s Degree and/or PhD in: Mathematics, Statistics, Economics, Computer Science, Finance, or other quantitative fields highly preferred!
  • Prior Auto finance or captive industry is a plus!

Physical Demands
Work Environment
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate.

Work Schedule

  • Ability to work between the hours of 8AM-6PM Monday through Friday and weekends as needed.

Stellantis Financial Services, Inc (SFS) is an equal opportunity employer and is committed to providing its employees with an environment that is free of harassment, discrimination, and intimidation. It is the policy of SFS to comply with all applicable employment laws and regulations and to provide equal opportunity for all qualified persons and to not discriminate against any employee or applicant for employment because of race, color, religion, sex, age, national origin, disability, pregnancy, sexual orientation, veteran status, gender identity or expression, change of sex, and/or transgender status or any protected status. Candidates must possess authorization to work in the United States. This policy applies to recruitment and placement, promotion, training, transfer, retention, rate of pay and all other terms and conditions of employment. Employment and promotion decisions will be based solely on merit, ability, achievement, experience, conduct and other legitimate business reasons.