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Computer Science Finance Jobs in Texas (NOW HIRING)

AssetMark

Financial QA Analyst

Austin, TX · On-site

Required : • Bachelors Degree in Computer Science, Finance, Accounting, Mathematics, or a related field. • Strong math background or business and finance knowledge, including accounting ...

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All JobsComputer Science Finance JobsComputer Science Finance Jobs in Texas

Computer Science Finance information

See Texas salary details

$23.3K

$86.3K

$126.2K

How much do computer science finance jobs pay per year?

As of Jul 3, 2026, the average yearly pay for computer science finance in Texas is $86,300.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,900.00 and $101,600.00 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 Texas? For Computer Science Finance jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Computer Science Finance jobs in Texas look for? The top searched job categories for Computer Science Finance jobs in Texas are:
What cities in Texas are hiring for Computer Science Finance jobs? Cities in Texas with the most Computer Science Finance job openings:
Computer Science Finance jobs near you
Infographic showing various Computer Science Finance job openings in Texas as of June 2026, with employment types broken down into 94% Full Time, 4% Part Time, 1% Contract, and 1% Nights. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution, with an average salary of $86,300 per year, or $41.5 per hour.
Senior Analyst, Remarketing Analytics

Senior Analyst, Remarketing Analytics

Stellantis Financial Services US

Addison, TX • On-site

$85K - $112K/yr

Full-time

Posted 11 days ago

Job description

Stellantis Financial Services (SFS) is the new captive finance company for one of the world's leading automakers and a mobility provider with iconic brands including Abarth, Alfa Romeo, Chrysler, Citroën, Dodge, DS Automobiles, Fiat, Jeep®, Lancia, Maserati, Opel, Peugeot, Ram, Vauxhall, Free2move and Leasys.
Our exciting growth provides opportunities to advance your career as we successfully lead products and services from a small to midsize company in just a few years. Join our world class team and culture and contribute to our core mission which is enhancing our customer's experience.
Position Summary:
The Senior Analyst, Remarketing Analytics is responsible for delivering advanced, data-driven insights
across the remarketing lifecycle to optimize asset performance and maximize returns. This role partners
cross-functionally to analyze key initiatives, identify trends and opportunities, and influence strategic
decision-making through clear and compelling storytelling. The Senior Analyst develops scalable
analytics solutions, enhances reporting capabilities, and serves as a subject matter expert to elevate team
performance and ensure data integrity.
Essential Duties and Responsibilities:
  • Deliver advanced analytics across the remarketing lifecycle, driving projects from problem
  • definition through modeling and insight generation to optimize proceeds, cycle time, and channel performance.
  • Monitor remarketing performance, identifying trends, risks, and opportunities and translating them into actionable insights.
  • Lead and support strategic initiatives and testing, partnering cross-functionally to design analyses, define success metrics, and evaluate outcomes.
  • Translate complex data into clear, actionable insights, tailoring communication for stakeholders, including senior leadership.
  • Develop and maintain scalable analytics solutions, automating reporting and standardizing data, metrics, and business rules.
  • Build and manage dashboards and scorecards, providing visibility into key remarketing KPIs and performance trends.
  • Serve as a subject matter expert in remarketing analytics, promoting best practices in analysis, data governance, and data quality.
  • Mentor and support junior analysts, enhancing team analytics capability and effective storytelling.
  • Collaborate cross-functionally to align data definitions, resolve discrepancies, and ensure actionable, business-aligned insights.
  • Perform other duties as assigned.

Qualifications and Competencies Required
Required Experience:
  • Minimum of five (5) years of experience in analytics, preferably in auto finance, automotive, or a
  • related industry
  • Advanced proficiency with SQL, Fabric, Python, R, or other business intelligence software.
  • Advanced proficiency with Microsoft Office Suite applications such as Excel, PowerPoint, Word,
  • and Power BI.
  • Experience with data visualization tools (e.g., Tableau, Power BI)
  • Experience working with modern data platforms (e.g., Snowflake, Fabric)
  • Strong analytical thinking and problem-solving skills
  • Ability to translate data into business insights and influence decision-making.
  • Proven ability to manage multiple priorities and work independently.

Education:
  • Bachelor's Degree in: Mathematics, Statistics, Economics, Computer Science, Finance, or other quantitative fields.

Qualifications Preferred:
  • Master's Degree and/or PhD in: Mathematics, Statistics, Economics, Computer Science, Finance, or other quantitative fields is a plus
  • Familiarity with Salesforce workflows and experience creating Salesforce reports and dashboards
  • Prior Auto finance or captive finance industry is highly preferred

Additional Requirements:
  • Must have reliable transportation and live within a commutable distance to one of the following cities: Auburn Hills, MI, Dallas, TX or Atlanta, GA

Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate.
Work Schedule: This position requires the ability to work various shifts to accommodate business needs. Typically, between the hours of 8AM-6PM Monday through Friday and on weekends as needed. Travel is required 0% - 10% of the time.
An applicant must be authorized to work in the United States to be eligible for this position. Stellantis Financial Services, Inc. will not sponsor applicants for work visas of any type for this position.
Stellantis Financial Services, Inc (SFS) is an equal opportunity employer and is committed to providing its employees with an environment that is free of harassment, discrimination, and intimidation. It is the policy of SFS to comply with all applicable employment laws and regulations and to provide equal opportunity for all qualified persons and to not discriminate against any employee or applicant for employment because of race, color, religion, sex, age, national origin, disability, pregnancy, sexual orientation, veteran status, gender identity or expression, change of sex, and/or transgender status or any protected status. Candidates must possess authorization to work in the United States. This policy applies to recruitment and placement, promotion, training, transfer, retention, rate of pay and all other terms and conditions of employment. Employment and promotion decisions will be based solely on merit, ability, achievement, experience, conduct and other legitimate business reasons.

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