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

GM Financial

AVP Data Science

Fort Worth, TX · On-site

GM Financial is the wholly owned captive finance subsidiary of General Motors and is headquartered ... Computer Science or similar quantitative field. Required What We Offer: Generous benefits package ...

Bread Financial

Lead Data Scientist

Frisco, TX · On-site +1

$144K - $250K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ... Bread Financial offers medical, prescription drug, dental, vision, and other voluntary benefits ...

Vizient, Inc.

Finance Analytics Manager

Irving, TX · On-site

$88K - $155K/yr

Relevant degree in Finance, Accounting, Business Analytics, Data Analytics, Business Administration, Economics, Information Systems, Computer Science, or a related field preferred. * 5 or more years ...

Vizient

Finance Analytics Manager

Irving, TX · On-site

$88K - $155K/yr

Relevant degree in Finance, Accounting, Business Analytics, Data Analytics, Business Administration, Economics, Information Systems, Computer Science, or a related field preferred. * 5 or more years ...

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Showing results 21-40

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 Sep 8, 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.
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Computer Science Finance jobs near you
Infographic showing various Computer Science Finance job openings in Dallas, TX as of September 2026, with employment types broken down into 77% Full Time, 17% Part Time, and 6% Contract. Highlights an 96% In-person, and 4% Remote job distribution, with an average salary of $91,634 per year, or $44.1 per hour.

Quantitative Analytics Engineer

Charles Schwab

Westlake, TX • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 12 days ago

Job description

Your opportunity

The mission of Corporate Risk Management is to provide an integrated risk management strategy that supports the delivery of predictable financial and operational performance and produces successful client and shareholder outcomes. Corporate Risk Management serves as Schwab’s second line of defense by providing independent assessments of the firm’s risk, using models, controls, and systems to measure financial, operational, compliance, and legal risks to Schwab’s business, employees, and customers.

In this role, your primary responsibility on the Margin Risk & Data Solutions team will be to lead data science projects focused on Schwab’s margin and trading data. You will evaluate client and market data to detect risk patterns using modeling and analysis techniques, then convert that knowledge into functional models that help dictate and challenge how that risk is managed. From there, you will be responsible for model documentation, development evidence, and performance monitoring for our production models. Successful candidates will also have strong experience analyzing, manipulating, and visualizing large datasets. This is an Individual Contributor role.

This position is posted in Omaha, Chicago, Austin, Southlake, and Westlake. Qualified internal Schwab employees outside of these markets are encouraged to apply. Location flexibility for strong internal candidates may be considered based on business needs, seat availability, and organizational alignment. We encourage employees not to self-select out of consideration based solely on location.
What you have
  • Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, Data Science, Finance or related field.
  • 5+ years of experience in model development, preferably in financial services.
  • 5+ years of experience with SQL, data manipulation, and data visualization.
  • Strong Python skills; experience with data analysis and manipulation frameworks (Pandas, NumPy, PySpark, etc).
  • Strong fundamentals in option models and retail derivatives trading. Experience with option and equity trading models and brokerage margin policies, particularly Black-Scholes, binomial option models, value-at-risk techniques, futures SPAN margin, Monte Carlo methods, and regression.
  • Ability to manage multiple deliverables and drive process improvements.
  • Excellent communication skills and documentation abilities.

What you’ll do:

  • Design, improve, and deploy equity option and exposure models for financial risk analytics, focusing on margin and trading data.
  • Lead the management and maintenance of retail trading data sets.
  • Collaborate with internal developers and architects to connect models with core banking platforms and workflows.
  • Document model development, deployment processes, and integration steps for internal and external review.
  • Analyze large datasets, identify risk patterns, and translate insights into actionable models.
  • Present technical approaches and results to management, auditors, and business partners.
  • Contribute to an Agile team, iterating quickly and delivering impactful solutions.

Nice to Haves:

  • Knowledge of brokerage business processes and regulatory requirements.
  • Exposure to other cloud platforms (AWS, Azure, GCP) and hybrid cloud architectures.
  • Experience with automation and DevOps platforms.
  • Experience with C# or Java service-based architectures.
  • Experience with data science and implementing machine learning

What’s in it for you

At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration—so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.

We offer a competitive benefits package that takes care of the whole you – both today and in the future:

  • 401(k) with company match and Employee stock purchase plan
  • Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
  • Paid parental leave and family building benefits
  • Tuition reimbursement
  • Health, dental, and vision insurance

Apply