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Computer Science Banking Jobs in Frisco, TX (NOW HIRING)

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 ...

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 ...

ARGO

Business Analyst - Banking

Richardson, TX

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 ...

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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All JobsComputer Science Banking JobsComputer Science Banking Jobs in Frisco, TX

Computer Science Banking information

See Frisco, TX salary details

$19.4K

$64.4K

$134.2K

How much do computer science banking jobs pay per year?

As of Aug 6, 2026, the average yearly pay for computer science banking in Frisco, TX is $64,380.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,409.00 and $89,147.00 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.

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 the top 3 jobs in computer science?

In computer science, the top jobs include software developer, data scientist, and cybersecurity analyst. These roles typically require strong programming skills, knowledge of algorithms, and familiarity with tools like Python, Java, or security frameworks. They are in high demand across various industries due to increasing reliance on technology and data security.

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 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.

What job categories do people searching Computer Science Banking jobs in Frisco, TX look for? The top searched job categories for Computer Science Banking jobs in Frisco, TX are:
What cities near Frisco, TX are hiring for Computer Science Banking jobs? Cities near Frisco, TX with the most Computer Science Banking job openings:
Computer Science Banking jobs near you
Infographic showing various Computer Science Banking job openings in Frisco, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $64,380 per year, or $31 per hour.

Senior Data Scientist (NLP and GenAI Specialist)

Morgan Stanley

Coppell, TX • On-site

Full-time

Re-posted 28 days ago

Morgan Stanley rating

8.4

Company rating: 8.4 out of 10

Based on 155 frontline employees who took The Breakroom Quiz

31st of 150 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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