ZipRecruiter

Log In

1

Bank Computer Science Jobs (NOW HIRING)

Frost Bank

Data Scientist III

San Antonio, TX

... unparalleled banking services. Who you are: As a Data Scientist III , you are responsible for ... Master's degree in Computer Science, Data Science, Statistics, or related field * 6+ years of ...

Frost Bank

Data Scientist III

San Antonio, TX · On-site

... unparalleled banking services. Who you are: As a Data Scientist III , you are responsible for ... Master's degree in Computer Science, Data Science, Statistics, or related field * 6+ years of ...

Zions Bank

Applied AI Scientist

Midvale, UT · On-site

... banking processes, and transform data into actionable insights. You will work alongside other ... Bachelors degree in Computer Science, Engineering, Statistics, Data Science or related field plus ...

next page

Showing results 1-20

People also search for

All JobsBank Computer Science Jobs

Bank Computer Science information

See salary details

$50.5K

$111.3K

$137.5K

How much do bank computer science jobs pay per year?

As of May 31, 2026, the average yearly pay for bank computer science in the United States is $111,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $137,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Bank Computer Science professional, and why are they important?

To succeed as a Bank Computer Science professional, you need a solid background in computer science, programming languages (such as Java or Python), and knowledge of banking systems, often supported by a relevant degree. Familiarity with core banking software, cybersecurity practices, databases, and sometimes certifications like CISSP or CISM are typically required. Strong analytical thinking, attention to detail, and effective teamwork help address complex technical challenges and ensure secure, efficient operations. These skills are crucial for maintaining robust financial systems, safeguarding sensitive data, and supporting innovative banking solutions.

How does a Computer Science professional typically collaborate with other departments in a banking environment?

In a banking environment, Computer Science professionals frequently work alongside teams from risk management, compliance, operations, and customer service to develop, test, and maintain secure and efficient banking systems. Collaboration often involves gathering requirements, troubleshooting issues, and integrating new technologies to support business goals. Effective communication and understanding of banking regulations are key, as projects may involve cross-functional meetings and ongoing coordination to ensure technological solutions align with industry standards and client needs.

What is a Bank Computer Scientist?

A Bank Computer Scientist is a technology professional who specializes in designing, developing, and maintaining computer systems and software used within the banking sector. Their responsibilities include ensuring the security of financial transactions, developing algorithms for fraud detection, and implementing reliable banking applications. They work closely with IT and security teams to keep banking systems running efficiently and securely. Their expertise helps banks adapt to new technologies and meet regulatory requirements.

What is the difference between Bank Computer Science vs Bank IT Specialist?

AspectBank Computer ScienceBank IT Specialist
Required CredentialsBachelor's in Computer Science or related field, certifications like CompTIA, CiscoSimilar certifications, often with additional focus on network or security certifications
Work EnvironmentBank IT departments, software development teams, cybersecurity unitsBank branches, data centers, IT support teams within banks
Employer & Industry UsageFinancial institutions, banks, fintech companiesBanking institutions, financial service providers
Common Search & Comparison IntentUnderstanding roles in banking tech, career paths in bank ITJob responsibilities, certifications, and skills for bank IT roles

Bank Computer Science focuses on software development, system analysis, and cybersecurity within banks, often requiring programming skills and advanced technical knowledge. Bank IT Specialist typically handles hardware, network support, and troubleshooting in banking environments. Both roles share similar credentials and industry usage but differ in daily responsibilities and technical focus.

More about Bank Computer Science jobs
What cities are hiring for Bank Computer Science jobs? Cities with the most Bank Computer Science job openings:
What states have the most Bank Computer Science jobs? States with the most job openings for Bank Computer Science jobs include:
What job categories do people searching Bank Computer Science jobs look for? The top searched job categories for Bank Computer Science jobs are:
Bank Computer Science jobs near you
Infographic showing various Bank Computer Science job openings in the United States as of May 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $111,343 per year, or $53.5 per hour.
Senior Manager Quantitative Analysis--Consumer Model Development

Senior Manager Quantitative Analysis--Consumer Model Development

First Citizens Bank

Atlanta, GA • Hybrid

Full-time

Posted 26 days ago

First Citizens Bank rating

7.6

Company rating: 7.6 out of 10

Based on 102 frontline employees who took The Breakroom Quiz

80th of 141 rated banks

Job description

Overview

This is a hybrid role (if located in Atlanta, GA, Charlotte, NC or Raleigh, NC ) with the expectation that time working will regularly take place inside and outside of a company office. Three days a week in office. Open to remote in several markets for highly qualified candidate.

The Manager of Consumer Model development will lead a team of quantitative risk analysts responsible for developing, implementing, and maintaining credit risk models for the bank's consumer lending portfolio. This role serves as the tactical leader bridging strategy and execution, reporting directly to the Director of Risk Analytics & Modeling while providing hands-on leadership to junior team members. The position requires strong technical expertise combined with people management skills to ensure effective delivery of risk modeling solutions.


Responsibilities
  • Support the Director and lead the development, testing, and implementation of advanced credit risk models across consumer lending products including Credit Cards, and Auto Loans, Mortgages, and HELOCs, with focus on Credit Card and Auto portfolios.
  •  Execute the model development plan and ensure proper delivery. Serve as the owner of model documentation, and development and testing materials.
  •  Lead and mentor a team of model development professionals, fostering a culture of innovation and continuous improvement in risk modeling approaches.
  •  Oversee the model ongoing monitoring program. Review the monitoring results and explain the model performance to model users and management.
  •  Support the Director in response to model validation findings and oversee the implementation of remediation. 
  •  Collaborate with other modeling and analytical teams to continuously improve the process and gain efficiency. Drive the enhancement of risk management frameworks to meet evolving regulatory requirements, including CCAR and CECL compliance.
  •  Support the Director and partner with business leadership to translate complex risk analytics insights into actionable business strategies and policy recommendations.
  •  Establish and maintain relationships with regulatory bodies, external/internal auditors, model Risk Management and key stakeholders.
  •  Guide the development and implementation of new risk assessment methodologies and tools to improve the organization's risk management capabilities.
  •  Lead strategic initiatives to modernize risk analytics infrastructure and capabilities through adoption of advanced technologies and methodologies, including AI and other intelligent tools.

Qualifications

Bachelor's Degree and 6 years of experience in Financial, Statistical or Quantitative Analysis Experience, with at least 2 years management/lead experience OR High School Diploma or GED and 10 years of experience in Financial, Statistical or Quantitative Analysis Experience, with at least 2 years management/lead experience

Preferred Education: advanced degree, masters/PHD in quantitative field, ie mathematics, computer science, financial engineering

Preferred Area of Study: Quantitative or Statistical Analysis, Financial Engineering, Computer Science, Mathematics

Preferred Area of Experience: Banking, Financial Engineering, Computer Science

Preferred Qualifications:


• Ph.D. degree in Statistics, Mathematics, Finance, or related quantitative field
• At least 10 years of progressive experience in credit risk model development, with at least 3 years in a leadership role
• At least 3 years hands on experience in Credit Card loss forecasting model development or validation
• Hands on experience using Python, SAS, Tableau
• Hands on experience in model development and model development documentation
• Demonstrated experience in leading teams responsible for development and implementation of enterprise-wide risk models
• Strong understanding of regulatory requirements and experience in interactions with regulatory bodies
• Experience with CCAR and CECL
• Expert knowledge of statistical modeling, machine learning techniques, and risk analytics methodologies
• Proven track record of translating complex analytical insights into actionable strategy

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

#LI-Hybrid

Qualifications:

Bachelor's Degree and 6 years of experience in Financial, Statistical or Quantitative Analysis Experience, with at least 2 years management/lead experience OR High School Diploma or GED and 10 years of experience in Financial, Statistical or Quantitative Analysis Experience, with at least 2 years management/lead experience

Preferred Education: advanced degree, masters/PHD in quantitative field, ie mathematics, computer science, financial engineering

Preferred Area of Study: Quantitative or Statistical Analysis, Financial Engineering, Computer Science, Mathematics

Preferred Area of Experience: Banking, Financial Engineering, Computer Science

Preferred Qualifications:


• Ph.D. degree in Statistics, Mathematics, Finance, or related quantitative field
• At least 10 years of progressive experience in credit risk model development, with at least 3 years in a leadership role
• At least 3 years hands on experience in Credit Card loss forecasting model development or validation
• Hands on experience using Python, SAS, Tableau
• Hands on experience in model development and model development documentation
• Demonstrated experience in leading teams responsible for development and implementation of enterprise-wide risk models
• Strong understanding of regulatory requirements and experience in interactions with regulatory bodies
• Experience with CCAR and CECL
• Expert knowledge of statistical modeling, machine learning techniques, and risk analytics methodologies
• Proven track record of translating complex analytical insights into actionable strategy

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

#LI-Hybrid

Education:UNAVAILABLEEmployment Type: FULL_TIME

What First Citizens Bank employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply