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Computer Science Banking Jobs in Texas (NOW HIRING)

CITIZENS STATE BANK

Help Desk Technician

Somerville, TX · On-site

$24.25 - $36.37/hr

... and Bank information. * Perform other duties as assigned. * High school diploma or equivalent required. * Associate or bachelor's degree in information technology, computer science, information ...

TBK Bank, SSB

Director of Data Science

Dallas, TX

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 ...

ARGO

Business Analyst - Banking

Richardson, TX · On-site

Bachelor's degree in Business, Computer Science, Information Systems, or a related field. * Business Analyst 2-4 years of relevant experience. * Experience in financial services or banking. * Prior ...

TBK Bank, SSB

Director of Data Science

Dallas, TX · On-site

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 ...

TriOptus LLC

Database Developer

Plano, TX · On-site

... Computer Science) * Technical knowledge and/or experience using key BI/data wrangling tools (SQL ... Experience within the banking industry preferred

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Computer Science Banking information

Which CS field has the highest salary?

In computer science, fields such as artificial intelligence, machine learning, and data science tend to have the highest salaries due to high demand and specialized skills. Roles involving cybersecurity and software engineering also offer high compensation, especially with advanced certifications and experience.

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.

Is computer science good for banking?

Computer science is highly relevant for banking roles, especially in areas like financial technology, data analysis, cybersecurity, and software development. Professionals with programming skills, knowledge of databases, and understanding of financial systems are in demand to improve efficiency, security, and innovation within banks.

What is the use of computer science in banking?

Computer science in banking involves developing and maintaining software systems for transactions, data management, and security. It enables automation, fraud detection, risk analysis, and customer service through technologies like databases, cybersecurity, and programming languages.

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.

Is computer science dead due to AI?

Computer science jobs, including roles in banking technology, continue to be in demand as AI advances, requiring skills in programming, data analysis, and system design. AI tools often complement rather than replace core computer science functions, emphasizing the importance of ongoing learning and adaptability for professionals in the field.
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:
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Computer Science Banking jobs near you
Senior Data Scientist (NLP and GenAI Specialist)

Senior Data Scientist (NLP and GenAI Specialist)

Morgan Stanley

Irving, TX • On-site

Full-time

Re-posted 10 days ago

Morgan Stanley rating

8.3

Company rating: 8.3 out of 10

Based on 154 frontline employees who took The Breakroom Quiz

40th of 148 rated financial services

Job description

Job Summary:
Morgan Stanley is a global leader in financial services, and they are seeking a Senior Data Scientist (NLP Specialist) to join their Non-Financial Risk team. This role involves developing and deploying advanced AI models using NLP and Machine Learning to enhance surveillance and compliance monitoring.
Responsibilities:
• Design high-performance systems leveraging cutting-edge techniques including Large Language Models (LLMs), Retrieval Augmented Generation (RAG), Agentic AI architecture, and knowledge graph analytics.
• Create GenAI-based solutions to automate manual tasks and drive cost efficiency.
• Conduct research to identify novel methods for enhancing analytical solutions.
• Lead and develop junior data scientists to achieve key business objectives
• Collaborate with Compliance, Legal, Financial Crimes, and IT stakeholders to champion the adoption of new AI/ML/NLP approaches, techniques and capabilities
• Champion innovative approaches to improve detection of suspicious activity.
Qualifications:
Required:
• Master's or PhD degree in Computer Science, Machine Learning, Intelligent Systems, Statistics, Mathematics, Engineering or other highly quantitative fields
• 10+ years of hands-on industry experience in building AI/ML/NLP solutions and applied statistical analysis to solve complex business problems
• Knowledge of software design and system principles and excellent skills in either Python (preferred) or Java
• Experience with AI/ML/NLP software packages such as LangChain, LangGraph, Semantic Kernel, CrewAI, OpenAI SDK, PyTorch, HuggingFace, etc.
• Experience in adhering to Software Development Life Cycle (SDLC) principles include GIT related operations
• Strong problem solving and time management skills
• Excellent written and oral communication skills
• Familiarity with financial markets, especially in Compliance, Non-Financial Risk, and Fraud analytics
• Experience with benchmark creation and evaluation including LLM-as-a-Judge based techniques
• Knowledge of Vector Stores, Linux, SPARQL, and Graph Databases
Company:
Morgan Stanley is a financial services institution that delivers capital management, investment banking, and advisory solutions. Founded in 1935, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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