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Computer Science Banking Jobs in Fort Worth, TX (NOW HIRING)

TBK Bank, SSB is seeking a Director of Data Science to design, build, and operationalize ... Required : • A Master's degree in Data Science, Statistics, Mathematics, Economics, Computer ...

Required : • A Master's degree in Data Science, Statistics, Mathematics, Economics, Computer ... A State Savings Bank headquartered in Dallas, Texas, TBK Bank is a subsidiary of Triumph Financial ...

Required : • A Master's degree in Data Science, Statistics, Mathematics, Economics, Computer ... and banking solutions, powered by The Triumph Network. Founded in 2010, the company is ...

Software Engineer III - Open Banking

Dallas, TX · On-site

$57 - $76.50/hr

Bachelor's degree in Computer Science, Engineering, in a related field, or equivalent experience ... Knowledge of Open Banking, Banking-as-a-Service (BaaS), financial services platforms, payment ...

Master's Degree in Computer Science Industry Keywords * Agentic AI * Generative AI * Banking * Financial Services * AI Governance Tools & Technologies * LangGraph * LangChain * GitLab Duo * Amazon ...

Lead Data Scientist

Frisco, TX · On-site +1

$144K - $250K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ... Experience in bank card/credit card business, consulting, retail, marketing, loyalty, and/or ...

Data Scientist

Irving, TX · On-site

$111K - $131K/yr

... computer science, engineering or applied mathematics, or equivalent work experience - Six to eight ... Bank location three (3) or more days per week. If there's anything we can do to accommodate a ...

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Computer Science Banking information

See Fort Worth, TX salary details

$19.3K

$64K

$133.4K

How much do computer science banking jobs pay per year?

As of Aug 27, 2026, the average yearly pay for computer science banking in Fort Worth, TX is $63,992.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,177.00 and $88,609.00 per year, depending on experience, location, and employer.

What is a computer science banking?

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 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 are the key skills and qualifications needed to thrive in computer science banking, 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.

Can someone who studies computer science work in a bank?

Yes, computer science graduates can work in banks in roles such as software developers, data analysts, cybersecurity specialists, or IT support. These positions often require knowledge of programming, databases, and security protocols, and may involve working with banking software and financial systems.

How is computer science used in banking?

Computer science in banking involves developing and maintaining software systems for transactions, fraud detection, risk management, and customer service. Professionals in this field use programming languages, data analysis, and cybersecurity skills to improve efficiency and security within financial institutions.

What are popular job titles related to Computer Science Banking jobs in Fort Worth, TX?

For Computer Science Banking jobs in Fort Worth, TX, the most frequently searched job titles are:

What job categories do people searching Computer Science Banking jobs in Fort Worth, TX look for?

The top searched job categories for Computer Science Banking jobs in Fort Worth, TX are:

What cities near Fort Worth, TX are hiring for Computer Science Banking jobs?

Cities near Fort Worth, TX with the most Computer Science Banking job openings:

Infographic showing various Computer Science Banking job openings in Fort Worth, TX as of August 2026, with employment types broken down into 66% Full Time, 6% Temporary, and 28% Contract. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution, with an average salary of $63,992 per year, or $30.8 per hour.

Director of Data Science

TBK Bank, SSB

Dallas, TX • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Summary:
TBK Bank, SSB is seeking a Director of Data Science to design, build, and operationalize quantitative models that power both internal and customer-facing intelligence solutions. This role focuses on developing forecasting, optimization, and signal-based models to translate large-scale transportation data into trusted insights.
Responsibilities:
• Develop and maintain forecasting and predictive models supporting transportation use cases such as pricing, demand forecasting, capacity trends, service performance, and network dynamics.
• Build and scale the data science function, including hiring, onboarding, and managing direct reports as business needs evolve. Design and execute statistical modeling and experimentation, including hypothesis testing, A/B testing, and causal analysis to evaluate market and operational changes.
• Build optimization and decision support models that inform routing, capacity allocation, pricing strategy, and operational trade‑offs.
• Lead signal development for transportation intelligence products, transforming raw transactional and network data into scalable, reliable indicators and indices.
• Establish and lead model validation, performance monitoring, and governance frameworks to ensure stability, accuracy, and trustworthiness of production models.
• Partner closely with product, analytics, and engineering teams to translate transportation domain needs into analytically sound, production ready models.
• Document methodologies, assumptions, and limitations to support transparency, internal review, and customer facing confidence in intelligence outputs.
• Continuously evaluate new data sources, modeling approaches, and techniques relevant to transportation, logistics, and network-based intelligence.
Qualifications:
Required:
• A Master's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or another relevant quantitative discipline is required.
• 5–7 years of professional experience in data science, applied statistics, or quantitative analytics.
• Strong experience with forecasting, predictive modeling, and statistical analysis in applied business contexts.
• Demonstrated ability to build models that support decision making, optimization, or market intelligence.
• Strong Python and SQL skills and experience working with large, complex datasets.
• Experience validating models and monitoring performance in production environments. Direct experience with model governance frameworks.
• Ability to clearly communicate quantitative insights to both technical and non‑technical stakeholders.
Preferred:
• Experience working with transportation, logistics, supply chain, or network-based data.
• Strong expertise in Regression & tree-based models (e.g., XGBoost, Random Forest)
• Strong expertise in Time series forecasting (e.g., SARIMAX, Prophet, TFT)
• Strong expertise in Statistical modeling of skewed distributions (e.g., log-normal, gamma)
• 2 years in a leadership or people‑management capacity
• Deep understanding of freight market dynamics, including the interaction between spot and contract pricing, broker and carrier economics, and the impact of capacity cycles and seasonality on market behavior.
• Familiarity with time‑series modeling, signal processing, or index construction.
• Experience supporting intelligence, analytics, or data products used by external customers.
• Experience working with large-scale datasets in cloud environments and data pipelines (e.g., Snowflake, AWS, Sagemaker)
Company:
A State Savings Bank headquartered in Dallas, Texas, TBK Bank is a subsidiary of Triumph Financial. (Nasdaq: TFIN). Founded in 2015, the company is headquartered in Dallas, USA, with a team of 1001-5000 employees. The company is currently Late Stage.