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Computer Science Finance Jobs in Texas (NOW HIRING)

Finance Machine Learning Engineer - Tech Lead

Austin, TX · On-site

$101K - $133K/yr

... computer science, data science, math, quantitative finance, or similar discipline) Undergraduate degree (computer science, data science, finance, economics, accounting, or related business discipline ...

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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 Sep 8, 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.

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 cities in Texas are hiring for Computer Science Finance jobs?

Cities in Texas with the most Computer Science Finance job openings:

Infographic showing various Computer Science Finance job openings in Texas 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 $86,300 per year, or $41.5 per hour.

Nontenure Faculty Pool - Department of Computer Science

Texas State University

San Marcos, TX • On-site

Temporary

Re-posted yesterday


Texas State University rating

6.3

Company rating: 6.3 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

540th of 631 rated colleges and universities


Job description

Posting Information
Posting Information
Position Title
Nontenure Faculty Pool - Department of Computer Science
Job Posting Number
2026142NTL
Job Location
San Marcos
College/Division
College of Science and Engineering
Department/School
Computer Science
Position Description
The Department of Computer Science seeks to develop a pool of candidates for possible temporary/nontenured faculty positions to teach a range of courses at the undergraduate level. Temporary/nontenured faculty are appointed to teach one to four courses per semester. Teaching appointments are based upon student demand on a semester-by-semester basis. Eligibility for reappointment is contingent upon satisfactory performance evaluations during the applicable teaching term, in addition to continuity of funding and department need. Successful candidates will teach at the San Marcos or Round Rock Campus.
This posting is for the fall 2026, spring 2027, and summer semesters. Please note that this posting is not intended to convey that such a need currently exists. Applicants applying for this pool faculty position will be available to the Department of Computer Science search committee for consideration in case the need arises.
Required Qualifications
  • A minimum of a master's degree in Computer Science or a closely related field.
  • Excellent written and oral communication skills.

Preferred Qualifications
  • Previous experience teaching undergraduate computer science courses as the instructor of record.
  • Ph.D. in computer science or a related area.
  • Industry experience.

Application Procedures
The Department of Computer Science will accept applications from qualified applicants on a continual basis for this fiscal year. Only applications submitted through the Texas State University website will be considered: https://jobs.hr.txstate.edu/postings/57301
Interested individuals should submit the following:
  • Current CV.
  • Cover letter.
  • Unofficial transcripts (all in one document).

As part of the application process, we are requesting contact information for three (3) academic references who can provide information about the applicant's skills and experience.
For questions or additional information regarding this position, please contact Dr. Apan Qasem at aq10@txstate.edu
Candidates selected for hire will be required to provide official transcripts from all degree-granting universities.
Type of Position
Temporary Full-Time or Part-Time
Proposed Start Date
Posting Date
06/09/2026
Review Date
06/01/2027
Close Date
05/31/2027
Open Until Filled?
No
Legal Notices
Texas State University is committed to a policy of non-discrimination and equal opportunity for all persons regardless of race, sex, color, religion, national origin or ancestry, age, marital status, disability, veteran status, or any other basis protected by federal or state law in employment, educational programs, and activities and admissions.
Employment with Texas State University is contingent upon the outcome of record checks and verifications including, but not limited to, criminal history, driving records, education records, employment verifications, reference checks, and employment eligibility verifications.
This position may conduct research on critical infrastructure depending on the research focus of a hire. Consistent with the requirements of the State of Texas, individuals conducting research on critical infrastructure will be subject to pre-employment, and then subsequent routine background checks/cybersecurity screenings. Employment will at all times be contingent upon the successful completion of these screenings in accordance with State and University requirements.
Reasonable Accommodation
If you experience accessibility issues or require alternative formatting during the application process due to a disability or underlying condition, we request that you contact Talent Acquisition for assistance. A representative from Talent Acquisition will respond to you as soon as possible.
Record Checks and Verifications
Employment with Texas State University is contingent upon the outcome of record checks and verifications including, but not limited to, criminal history, driving records, education records, employment verifications, reference checks, and employment eligibility verifications.
Eligibility for Employment
In accordance with federal law, all new employees must complete the Form I-9 and provide acceptable documentation verifying their identity and authorization to work in the United States. Texas State University participates in E-Verify, and employment is contingent upon the successful verification of work authorization. Employees are required to maintain valid work authorization to satisfy the conditions of Form I9 at all times during their employment and the university makes no implicit or explicit promises to financially support visa or permanent residency applications.
Why Work at Texas State?
Texas State University is a large, student-centered public research institution serving more than 40,000 students across undergraduate, graduate, and doctoral programs in San Marcos and Round Rock. Classified as a Carnegie Doctoral University with High Research Activity (R2), TXST is actively advancing its ambitious Run to R1 strategy, demonstrating sustained growth in research activity, doctoral education, and scholarly impact.
Faculty at TXST join a vibrant academic community of over 5,000 faculty and staff committed to excellence in teaching, research, and service. The university offers a collaborative, supportive environment, and interdisciplinary scholarship. Outstanding faculty are drawn to TXST for the opportunity to make a meaningful impact-advancing research, mentoring a growing student body, and helping shape the future of a rapidly growing research university.
Quick Link
https://jobs.hr.txstate.edu/postings/57301
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