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

Honeywell

Finance Transformation Manager

Atlanta, GA · Hybrid

Bachelor's degree in finance/accounting, business administration, data analytics, computer science, engineering or related disciplines * 6 years of relevant experience in transformation or product ...

Honeywell

Finance Transformation Manager

Atlanta, GA · Hybrid

Bachelor's degree in finance/accounting, business administration, data analytics, computer science, engineering or related disciplines * 6 years of relevant experience in transformation or product ...

Truist

Decision Science Lead

Atlanta, GA

... Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering, or equivalent education and related training or experience 3. 4+ years of decision science/analytics ...

Department of Human Services

Data Scientist

Atlanta, GA · On-site

$90K/yr

Mathematics, statistics, computer science, data science or field directly related to the position ... are financial or program performance metrics; AND 3. Providing technical guidance on data ...

Department of Human Services

Data Scientist

Atlanta, GA · On-site

$90K/yr

Mathematics, statistics, computer science, data science or field directly related to the position ... are financial or program performance metrics; AND 3. Providing technical guidance on data ...

Deluxe

Data Scientist

Atlanta, GA · On-site

$85K - $90K/yr

Bachelor's degree in Computer Science, Math, Statistics, Machine Learning, Analytic, Data Science ... Tuition Reimbursement These benefits are designed to enhance the health, protect the financial ...

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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 Aug 17, 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.
More about Computer Science Finance jobs

What are popular job titles related to Computer Science Finance jobs in Atlanta, GA?

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

What job categories do people searching Computer Science Finance jobs in Atlanta, GA look for?

The top searched job categories for Computer Science Finance jobs in Atlanta, GA are:

Computer Science Finance jobs near you
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.

Lead Developer, Trading Analytics

Intercontinental Exchange Holdings, Inc.

Atlanta, GA • On-site

$56.75 - $74.25/hr

Full-time

Re-posted 25 days ago

Job description

Overview
Job Purpose
We're looking for a lead engineer to lead the design and evolution of our Trading Analytics platform, the set of services that help our clients manage and optimize their pricing, risk, and trading workflows. You'll work at the intersection of capital markets, quantitative modeling, and modern cloud infrastructure, partnering closely with quants, product managers, and clients to turn complex financial models into fast, reliable, production-grade software.
Responsibilities
  • Provide technical leadership across the Trading Analytics stack, setting direction on architecture, performance, and code quality.
  • Design, build, and maintain core services in Java and Python, with a strong focus on numerical accuracy and computational efficiency.
  • Partner with Data Science and Product teams to translate quantitative models into scalable, low-latency, production-ready systems.
  • Translate domain requirements from BAs and quants into robust software that supports real-world trading workflows.

Knowledge and Experience
  • Bachelor's degree in Computer Science, Financial Engineering, or a related quantitative field.
  • 8+ years of professional software engineering experience.
  • Demonstrated experience designing and developing cloud-native applications using AWS services such as S3, EC2, Lambda, IAM, as well as automating deployments and infrastructure using Terraform and CI/CD pipelines.
  • Hands-on experience building ETL pipelines using Databricks and developing notebooks and jobs in PySpark for large-scale data processing and analytics.
  • Strong proficiency in Python, with a track record of shipping high-performance, multi-threaded, production-grade applications
  • Proficiency with AI-assisted coding tools (e.g., Claude Code, Copilot, Cursor) and a demonstrated ability to use them effectively to accelerate development without compromising code quality.
  • Demonstrated ability to lead technical work in a fast-paced environment and collaborate across quants, product managers, and engineering teams.

Preferred Knowledge and Experience
  • Familiarity with capital markets and fixed income instruments.
  • Knowledge and experience with Java

#LI-CP1
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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.

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