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

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 ...

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 ...

Decision Scientist II

Atlanta, GA · On-site

$100K - $115K/yr

... Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering 3. Must be able to perform in a cross-functional and collaborative team environment focused on ...

... Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering 3. Must be able to perform in a cross-functional and collaborative team environment focused on ...

Student Assistant - Computer Vision

Atlanta, GA · On-site

$14.75 - $18.50/hr

Fringe benefits include a variety of resources focused on employee physical, mental, financial, and ... Computer Science II/ COMP2320: Principles of Programming or equivalent courses. Physical ...

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Showing results 1-20

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 Sep 7, 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 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.
Infographic showing various Computer Science Finance job openings in Atlanta, GA 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 $89,080 per year, or $42.8 per hour.

Data Scientist & Analyst

CirrusLabs

Alpharetta, GA • On-site

Full-time

Re-posted 12 days ago


Job description

Job Summary:
CirrusLabs is a niche digital transformation company focused on helping customers realize value through innovation. They are seeking an experienced Data Scientist & Analyst to provide analytical expertise, develop advanced models, and generate insights that drive cost optimization and operational efficiency.
Responsibilities:
• Gather, clean, and analyze large datasets to identify trends, variances, and cost-saving opportunities.
• Develop and maintain dynamic dashboards and reporting tools that deliver clear and actionable insights.
• Generate periodic and ad-hoc financial reports to assist stakeholders in understanding cost drivers.
• Design and implement predictive models to forecast costs and support resource allocation decisions.
• Leverage advanced analytics and machine learning techniques to optimize cost performance.
• Collaborate with cross-functional teams to identify inefficiencies and propose data-driven solutions.
• Work closely with the client's infrastructure and finance teams to understand business objectives and translate them into analytical frameworks.
• Present complex data insights in a clear and actionable format tailored to non-technical stakeholders.
• Streamline data collection and reporting processes for improved efficiency and accuracy.
• Ensure adherence to best practices in data governance, documentation, and quality assurance.
Qualifications:
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 management roles.
• Proficiency in SQL and Python (or R) for data manipulation and analytics.
• Hands-on experience with visualization tools such as Tableau, Power BI, or equivalent.
• Solid knowledge of statistical analysis, predictive modeling, and machine learning methodologies.
• Strong problem-solving skills and the ability to handle complex, multifaceted challenges.
• Excellent verbal and written communication skills, with a focus on presenting insights effectively.
Preferred:
• Experience in infrastructure, technology, or financial services industries.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Understanding of financial planning processes and cost allocation strategies.
Company:
CirrusLabs is an IT company provides agile software delivery, automation, cloud Services, and IoT. Founded in 2005, the company is headquartered in Alpharetta, USA, with a team of 201-500 employees. The company is currently Growth Stage.