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Computer Science Banking Jobs in Texas (NOW HIRING)

USAA

Data Scientist Senior

San Antonio, TX · On-site

... Bank (USAA FSB). You will identify and implement AI solutions - whether cutting-edge industry ... Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial ...

USAA

Data Scientist Lead - Model Development

Plano, TX · On-site

... Bank Operations, and Automation space. A Lead Data Scientist is expected to have a consulting ... Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial ...

Guidehouse

Data Scientist (AI/ML Focus)

San Antonio, TX · On-site

Bachelor's degree in Data Science, Computer Science, or related field. * FIVE (5) or more years of ... Never provide your banking information to a third party purporting to need that information to ...

First Horizon Bank

IT DEVELOPER SR

Houston, TX · On-site

$119K - $146K/yr

Role requires a Bachelor's degree in Computer Science, MIS, Computer Engineering, related field, or ... Headquartered in Memphis, TN, the banking subsidiary First Horizon Bank operates in 12 states ...

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Computer Science Banking information

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$18K

$59.7K

$124.4K

How much do computer science banking jobs pay per year?

As of Jun 9, 2026, the average yearly pay for computer science banking in Texas is $59,700.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,617.00 and $82,666.00 per year, depending on experience, location, and employer.

What types of projects do professionals in Computer Science Banking typically work on?

Professionals in Computer Science Banking often work on projects such as developing secure online banking platforms, implementing fraud detection systems, optimizing transaction processes, and managing large financial data sets. They may also support regulatory compliance projects and enhance cybersecurity measures to protect sensitive customer information. Collaboration with financial analysts, management, and IT teams is common, as is involvement in implementing emerging technologies like artificial intelligence or blockchain. This dynamic environment provides valuable experience across technical and financial domains and supports career advancement into senior technical or leadership roles.

What is a Computer Science Banking job?

A Computer Science Banking job involves applying computer science principles to develop, maintain, and secure banking systems. Professionals in this field work on digital banking platforms, cybersecurity, data analytics, and financial software development. They help banks enhance customer experience, prevent fraud, and optimize operations through technology. Roles may include software developers, cybersecurity analysts, data scientists, and IT specialists in financial institutions. These jobs require expertise in programming, databases, encryption, and financial technologies.

What are the key skills and qualifications needed to thrive in the Computer Science Banking position, and why are they important?

To excel in a Computer Science Banking role, you need a strong background in computer science principles, programming, and data analysis, ideally supported by a relevant degree or certifications. Familiarity with banking software platforms, cybersecurity protocols, databases, and tools like Python, SQL, or Java are often required. Strong problem-solving skills, attention to detail, and clear communication help you work effectively with both technical teams and finance professionals. These competencies ensure secure, efficient, and innovative technology solutions within the fast-paced and highly regulated banking sector.

What are the most commonly searched types of Computer Science Banking jobs in Texas? The most popular types of Computer Science Banking jobs in Texas are:
What are popular job titles related to Computer Science Banking jobs in Texas? For Computer Science Banking jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Computer Science Banking jobs in Texas look for? The top searched job categories for Computer Science Banking jobs in Texas are:
What cities in Texas are hiring for Computer Science Banking jobs? Cities in Texas with the most Computer Science Banking job openings:
Computer Science Banking jobs near you
Infographic showing various Computer Science Banking job openings in Texas as of June 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 83% In-person, and 17% Hybrid job distribution, with an average salary of $59,700 per year, or $28.7 per hour.
AI/ML Engineer, Global Banking & Markets, Investment Banking

AI/ML Engineer, Global Banking & Markets, Investment Banking

Goldman Sachs

Dallas, TX

Other

Posted 21 days ago

Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

29th of 141 rated banks

Job description

What We Do

At Goldman Sachs, our Engineers don't just make things - we make things possible.  Change the world by connecting people and capital with ideas.  Solve the most challenging and pressing engineering problems for our clients.  Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.  Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.

Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. Want to push the limit of digital possibilities?  Start here.

Within our Global Banking & Markets business, Investment Banking (IB) works on some of the most complex financial challenges and transactions in the market today. Whether advising on a merger, providing financial solutions for an acquisition, or structuring an initial public offering, we handle projects that help clients at major milestones. We work with corporations, pension funds, financial sponsors, and governments and are a team of strong analytical thinkers with a passion for producing out-of-the-box ideas.

Within IB, our engineers are responsible for building next generation digital solutions and automation for banking that consists of a set of well-integrated platforms and allows us to serve our bankers and clients better.

Who We Look For
We are seeking an AI/ML engineer to join our IB Engineering team. As an AI/ML engineer, you will leverage your expertise in quantitative analytics, statistics, and artificial intelligence to develop and implement AI-driven quantitative technologies with the goal to enhance revenue generation, capital saving, operational efficiency and foster innovation within the firm.

In this role, you will have the opportunity to collaborate with various teams and divisions on pioneering projects that integrate artificial intelligence with quantitative finance. As an AI/ML engineer, you will tackle the unique challenges associated with embedding intelligence in the analytics domain. Join us in pushing the boundaries of what is possible at the intersection of finance and artificial intelligence!

How You Will Fulfill Your Potential

  • Design, implement, and deploy scalable AI models & agentic workflows to drive commercial outcomes.
  • Lead rigorous experimentation and data-driven analysis to continuously improve AI model effectiveness for business use cases.
  • Collaborate proactively with stakeholders across the equities business  to accelerate the delivery of AI driven solutions to drive tangible commercial outcomes.
  • Champion the development, testing, and maintenance of reliable, production-ready software solutions.

Qualifications

  • Advanced degree in Computer Science, Machine Learning, Quantitative Finance, Mathematics, Physics, or equivalent relevant industry experience.
  • 1-3 years of AI/ML experience in the industry that demonstrates your expertise.
  • Proficiency in contemporary programming languages like Python and/or Java.
  • Excellent understanding of machine learning techniques and algorithms, and experience with common data science toolkits.
  • Demonstrated curiosity, ownership, and a willingness to work in a collaborative environment.

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. 

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. 

We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

The Goldman Sachs Group, Inc., 2026. All rights reserved.

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About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869

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