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Computer Science Finance Jobs in Dallas, TX (NOW HIRING)

PTR Global

HFM Developer

Plano, TX

$70 - $73/hr

Bachelor's degree in Computer Science, Finance, or a related field preferred. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has ...

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All JobsComputer Science Finance JobsComputer Science Finance Jobs in Dallas, TX

Computer Science Finance information

See Dallas, TX salary details

$24.7K

$91.6K

$134K

How much do computer science finance jobs pay per year?

As of Jun 14, 2026, the average yearly pay for computer science finance in Dallas, TX is $91,634.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,200.00 and $107,800.00 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.

More about Computer Science Finance jobs
What are popular job titles related to Computer Science Finance jobs in Dallas, TX? For Computer Science Finance jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Computer Science Finance jobs in Dallas, TX look for? The top searched job categories for Computer Science Finance jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Computer Science Finance jobs? Cities near Dallas, TX with the most Computer Science Finance job openings:
Computer Science Finance jobs near you
Infographic showing various Computer Science Finance job openings in Dallas, TX as of June 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $91,634 per year, or $44.1 per hour.
Sr Risk Systems Developer

Sr Risk Systems Developer

Community Choice Financial Family of Brands

Carrollton, TX • On-site

Full-time

Posted 3 days ago

Community Choice Financial rating

6.6

Company rating: 6.6 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

Job description

Job Summary:
Community Choice Financial is one of the largest consumer specialty finance organizations in the U.S. They are seeking a Sr. Risk Systems Developer to join their Credit Risk Strategy Team and support the customer approval process by ensuring the decision engine platform meets operational expectations. The role involves designing and developing effective underwriting strategies and scoring models while reducing manual tasks.
Responsibilities:
• Execute the technical development of credit risk / underwriting processes using system tools that require program scripting, system configurations, and strong technical testing methods.
• Conduct Unit testing of all changes to the decision engine both within the DE platform as well as through the API channel.
• Translate underwriting processes and strategies into technical designs through collaboration with multifunctional teams and document these processes and procedures.
• Produce high-quality technical documentation of processes and procedures that are implemented within the DE platform.
• Perform peer code reviews for the Risk development team.
Qualifications:
Required:
• Bachelor’s degree in mathematics, Economics, Finance, or another related field.
• Minimum 3 years of experience in Software Development, Decision Engine Systems, Credit Risk Systems or a related technical role.
• Experience with decision engine software such as Blaze, Powercurve, GDSLink, or especially Provenir.
• Prior work with relational databases and experience with SQL or similar tool.
• Hands-on experience working with REST/SOAP web services (including deep knowledge of JSON/XML data structures).
• Experience with MS Office, especially MS Excel.
• Experience with JavaScript development.
• Strong analytical and problem-solving skills with the ability to think logically and effectively utilize techniques to develop and execute effective solutions.
• Ability to work effectively both independently and as a team member.
• Ability to succeed within a cross-functional team emphasizing collective ownership in a fast-paced environment.
• Confidence and willingness to challenge status quo but also able to concede and execute other’s ideas when necessary.
Preferred:
• 3-8 years of experience in the financial services industry
• Master’s degree (MS or MBA) in Mathematics, Computer Science, Finance, or another related field
• Experience with R, Python, SAS, or other data science and statistical analysis language
• Azure DevOps
• Postman and API testing frameworks
Company:
With online and in-store products and services across the country, Community Choice Financial Family of Brands offers our customers, Team Members, and communities the Power of Choice. Founded in 1989, the company is headquartered in Carrollton, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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