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Computer Science Finance Jobs in Georgia (NOW HIRING)

AIG

Manager Data Science, GenAI

Atlanta, GA · On-site

... financial services. The Manager of Data Science will oversee a team delivering generative AI ... D. or Master's in Data Science, Computer Science, or a related field. • Ability to thrive in a ...

Equifax, Inc.

Data Scientist - Career

Atlanta, GA · On-site

... experience in financial modeling. The ideal candidate will combine the skills to create new ... computer science fundamentals to independently prepare datasets, conduct analytics, and develop ...

TK Elevator

Finance Manager- FP&A

Atlanta, GA · On-site

Bachelor's Degree, Business Administration/Finance, Statistics, Computer Science, Mathematics, Computer Information Systems or similar field * 8+ years progressive experience in data modelling, data ...

BlackRock

Associate, Modelling Data Scientist

Atlanta, GA · On-site

$136K - $148K/yr

Bachelor's degree or foreign equivalent in Data Science, Financial Engineering, Statistics, Computer Science, or closely related field and 24 months of experience in job offered, or closely related ...

Kiongroup

Sr Applied AI Engineer-Finance

Atlanta, GA

$113K - $174K/yr

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 science, or applied AI ...

Kiongroup

Sr Applied AI Engineer-Finance

Atlanta, GA · On-site

$113K - $174K/yr

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 science, or applied AI ...

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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.

More about Computer Science Finance jobs
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:
Computer Science Finance jobs near you
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.
Manager Data Science, GenAI

Manager Data Science, GenAI

AIG

Atlanta, GA • On-site

Full-time

Posted 19 days ago

AIG rating

8.4

Company rating: 8.4 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

98th of 277 rated insurance

Job description

Job Summary:
AIG is a leading global insurance organization providing a wide range of property casualty insurance and other financial services. The Manager of Data Science will oversee a team delivering generative AI solutions and collaborate with cross-functional teams to innovate and manage risk effectively.
Responsibilities:
• Oversee the development and delivery of data science and generative AI solutions aligned with business requirements, monitor solutions in production.
• Develop technical delivery plans and execute them to ship solutions on time.
• Mentor and develop junior data scientists.
• Collaborate with cross-functional teams including product managers, engineers, and business leaders.
• Build evaluation frameworks to measure LLM effectiveness, ground-truth dataset quality, and guide the product development roadmap.
Qualifications:
Required:
• 7+ years of experience in a data science role—preferably in NLP—in an agile, production-oriented environment.
• 3+ years of experience managing teams of data scientists and/or engineers.
• 2+ years of hands-on experience building generative AI solutions: prompt engineering, RAG and agentic frameworks, validation pipelines, and observability and monitoring solutions.
• Ph.D. or Master's in Data Science, Computer Science, or a related field.
• Ability to thrive in a fast-paced, high-stakes environment.
• Clear communicator and effective collaborator within and across teams.
• Able to operate as both a hands-on practitioner and a people manager.
• Highly technical, with a strong bias for execution.
Preferred:
• Experience on the Palantir platform or demonstrated certification is preferred.
• Ontology Mastery: A strong understanding of Ontology—specifically how to map complex real-world data entities and relationships into a digital twin framework to power AI applications.
• Large-scale Data Infrastructure: Strong understanding of performance optimization in big data environments, with hands-on experience using distributed data processing frameworks such as Apache Spark or PySpark.
• Agentic Solution: Experience implementing advanced agentic architectures, such as autonomous agents capable of multi-step reasoning and decision-making or integrating agentic solutions with large-scale enterprise systems.
Company:
American International Group, Inc. (NYSE: AIG) is a leading global insurance organization. Founded in 1919, the company is headquartered in Amarillo, USA, with a team of 10001+ employees. The company is currently Late Stage.

What AIG employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About AIG

Sourced by ZipRecruiter

American International Group, Inc. (AIG) is a leading global insurance organization. Building on 100 years of experience, today AIG member companies provide a wide range of property casualty insurance, life insurance, retirement solutions, and other financial services to customers in more than 80 countries and jurisdictions. These diverse offerings include products and services that help businesses and individuals protect their assets, manage risks and provide for retirement security.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1919

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