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

Requires a Bachelor degree, or foreign equivalent degree, in Mathematics, Computer Science, Finance, or Business Analytics and 2 years of experience in the job offered or 2 years of experience in a ...

New

Requires a Bachelor degree, or foreign equivalent degree, in Mathematics, Computer Science, Finance, or Business Analytics and 2 years of experience in the job offered or 2 years of experience in a ...

Requires a Bachelor degree, or foreign equivalent degree, in Mathematics, Computer Science, Finance, or Business Analytics and 2 years of experience in the job offered or 2 years of experience in a ...

New

Requires a Bachelor degree, or foreign equivalent degree, in Mathematics, Computer Science, Finance, or Business Analytics and 2 years of experience in the job offered or 2 years of experience in a ...

HFM Developer

Plano, TX · On-site

$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 ...

Decision Engine Architect

Plano, TX · On-site

$61.25 - $78.75/hr

Bachelor's degree in computer science, Data Science, Finance, or related field (graduate degree preferred). * Strong programming skills in SQL or Python, with experience in ETL workflows and JSON ...

Required Qualifications • Bachelor's degree in Computer Science, Mathematics, Actuarial Science, Finance, Insurance, or a related field, or an equivalent combination of education and experience ...

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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 Aug 17, 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 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.

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:

Infographic showing various Computer Science Finance job openings in Dallas, TX 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 $91,634 per year, or $44.1 per hour.

$100K/yr

Full-time

Posted yesterday

New


Job description

Job Title:         Sr. Data Analyst

Job Location8115 Preston Rd., Suite 400, Dallas, TX 75225

Rate of Pay:    $100,000 per year

Sr. Data Analyst needed by Welltower, Inc. in Dallas, TX to collect operator data including all financial data included in P&L statements as well as payroll/labor data and revenue data from disparate sources. Build, evolve, and scale out infrastructure to ingest, process, and extract meaning out data. Analyze data to identify trends, patterns, outliers, and insights that inform decisions and provide actionable insights to improve revenue/productivity. Validate data for completeness and accuracy based on guidelines set by project stakeholders or downstream data management systems. Leverage existing data infrastructure to fulfill all data-related requests, perform necessary data housekeeping, data cleansing, normalization, hashing, and implementation of required data model changes. Work with data providers to improve data management workflow. Interface with data end-users (Operations/Finance) and the data storage/management architecture team to ensure that systems meet business needs. Develop and execute standard or custom queries or reports to retrieve data as required. Working with data infrastructures and data tools including Power BI and SQL. Utilize Microsoft Excel.

Minimum Requirements: Requires a Bachelor degree, or foreign equivalent degree, in Mathematics, Computer Science, Finance, or Business Analytics and 2 years of experience in the job offered or 2 years of experience in a related applying knowledge with data infrastructures; working with data tools including Power BI & SQL; utilizing Microsoft Excel.

Alternatively, the employer will accept a Master’s degree, or foreign equivalent degree, in Mathematics, Computer Science, Finance , or Business Analytics. Requires experience, coursework, and/or project experience applying knowledge with data infrastructures; working with data tools including Power BI & SQL; utilizing Microsoft Excel.

Apply at https://welltower.com/careers/ by selecting “View Job Opportunities”, entering the requisition number, SENIO003373, in the “What” bar, opening the requisition, and clicking “Apply Now”.