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

... 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 · On-site

$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 ...

Position Requirements Formal Education & Certification • College diploma or university degree in the field of business administration, computer science, finance, information systems, supply chain ...

Position Requirements Formal Education & Certifications • College diploma or university degree in the field of business administration, computer science, finance, information systems, supply chain ...

College diploma or university degree in the field of business administration, computer science,finance, or information systems. * BA and/or PMP certified (desired) * Three to five years related work ...

College diploma or university degree in the field of business administration, computer science, finance, or information systems. * BA and/or PMP certified (desired) * Three to five years related work ...

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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.
Cyber incident management - VP : Job Level - Vice President

Cyber incident management - VP : Job Level - Vice President

Morgan Stanley

Alpharetta, GA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Morgan Stanley rating

8.3

Company rating: 8.3 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

39th of 138 rated financial services


Job description

Job Summary:
Morgan Stanley is a global leader in financial services, continuously evolving and innovating to better serve clients. The Cyber Incident Management position at the VP level involves managing firm-wide responses to cyber threats and incidents, ensuring effective communication and decision-making during high-severity events.
Responsibilities:
• As part of the Cyber Enterprise Management team, you will collaborate with key partners to manage firm-wide responses to threats, vulnerabilities, and incidents that create cyber, information security, or fraud risk. You will also help build readiness across Fusion and its partners to enable timely, effective cyber response.
• Lead and orchestrate the Firm's response to high-severity cyber, fraud, information security, and third-party incidents from detection through recovery, driving risk-based decision-making and coordinating executive-level response activities, including incident calls and internal and external communications.
• Shape the Firm's risk posture during high-severity incidents by driving timely, executive-level decision-making and ensuring response strategies are informed by current threat intelligence and industry best practices.
• Champion a culture of continuous improvement through structured post-incident reviews, translating operational learnings into enterprise-wide readiness enhancements - including updated playbooks, Standard Operating Procedures, and scenario-based exercises and tabletop drills with key stakeholders.
• Contribute to the development of the Firm's cyber response strategy, bringing forward-looking perspectives on emerging threats, industry trends, and evolving best practices.
• Own and evolve Fusion's global follow-the-sun operating model, partnering with Fusion, Cyber, Technology, and Business leadership to enhance 24/7 response effectiveness and ensure the model reflects the current threat landscape.
Qualifications:
Required:
• Minimum 10 years of experience with ability to synthesize complex threat intelligence and operational experience into forward-looking strategies and actionable recommendations for senior leadership
• Experience contributing to or leading industry-level forums, working groups, or publications in the cybersecurity or operational resilience space
• Experience operating within a globally distributed, follow-the-sun, 24/7 response environment
• Strong track record of designing and facilitating cyber incident simulations, tabletop exercises, and readiness programs
• Experience mentoring and developing talent within a high-performing cyber or response function
• Successful candidates combine deep cybersecurity expertise, executive-level communication skills, operational discipline, and sound judgment.
• This role demands comfort operating in a fast-moving, high-stakes, and constantly evolving threat landscape - as well as the credibility and gravitas to influence senior stakeholders and shape organizational direction
• Proven ability to influence senior stakeholders and shape organizational strategy in a complex, matrixed environment
• Demonstrated track record of managing both technical and non-technical workstreams in high-pressure environments
• Deep understanding of information security, fraud, and third-party/supply chain threats and their potential business, regulatory, and reputational impact
• Experience applying risk management frameworks to assess, prioritize, and communicate risk at an enterprise level
• Professional experience in cybersecurity or security-related roles, ideally within financial services, the military, and/or intelligence communities
• Exceptional written and verbal communication skills, with a demonstrated ability to translate complex technical issues into clear, business-level risk narratives for senior executives and boards.
• Bachelor’s degree in Data Science, Computer Science, Finance, or related field.
Preferred:
• Relevant certifications such as CISSP, CISM, or SANS Institute credentials
Company:
Morgan Stanley is a financial services institution that delivers capital management, investment banking, and advisory solutions. Founded in 1935, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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