ZipRecruiter

Log In

1

Computer Science Banking Jobs (NOW HIRING)

Guidehouse

OR

$56K - $94K/yr

A minimum of FOUR (4) years of experience in computer science or related field. * Extensive ... Never provide your banking information to a third party purporting to need that information to ...

Guidehouse

Scientist

$56K - $94K/yr

A minimum of FOUR (4) years of experience in computer science or related field. * Extensive ... Never provide your banking information to a third party purporting to need that information to ...

Guidehouse

OR

$56K - $94K/yr

A minimum of FOUR (4) years of experience in computer science or related field. * Extensive ... Never provide your banking information to a third party purporting to need that information to ...

Guidehouse

Scientist

$56K - $94K/yr

A minimum of FOUR (4) years of experience in computer science or related field. * Extensive ... Never provide your banking information to a third party purporting to need that information to ...

Bank of America

Data Scientist I

Charlotte, NC · On-site

Required : • Minimum Bachelor's degree in a quantitative field such as computer science, math ... Bank of America is a financial institution that offers credit cards, home loans, and auto loan ...

next page

Showing results 1-20

People also search for

All JobsComputer Science Banking Jobs

Computer Science Banking information

See salary details

$20.5K

$67.9K

$141.5K

How much do computer science banking jobs pay per year?

As of May 31, 2026, the average yearly pay for computer science banking in the United States is $67,884.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,500.00 and $94,000.00 per year, depending on experience, location, and employer.

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 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.
More about Computer Science Banking jobs
What cities are hiring for Computer Science Banking jobs? Cities with the most Computer Science Banking job openings:
What are the most commonly searched types of Computer Science Banking jobs? The most popular types of Computer Science Banking jobs are:
What states have the most Computer Science Banking jobs? States with the most job openings for Computer Science Banking jobs include:
What job categories do people searching Computer Science Banking jobs look for? The top searched job categories for Computer Science Banking jobs are:
Computer Science Banking jobs near you
Infographic showing various Computer Science Banking job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 89% Full Time, 8% Part Time, and 2% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $67,884 per year, or $32.6 per hour.
Principal Data Scientist - Banking Payments

Principal Data Scientist - Banking Payments

Capital One

Mclean, VA • On-site

Full-time

Posted 9 days ago

Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 134 frontline employees who took The Breakroom Quiz

74th of 141 rated banks

Job description

Principal Data Scientist - Banking Payments
Principal Associate, Data Scientist - Bank Operations Data Science - Payments Organization
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description
The Bank Operations Data Science team builds the machine learning models that help provide core capabilities internally such as Check/Document Reading, Anomaly Identification, Natural Language Processing of Calls, and operational forecasting. We build ground-breaking industry leading models using emerging technologies like neural networks, LLMs, transformer architectures, and agentic experiences.
Role Description
In this role, you will:
  • Partner with a cross-functional team of data scientists, software engineers, business analysts, and product managers to deliver a product customers love
  • Leverage a broad stack of technologies - Python, Snowflake, and more - to reveal the insights hidden within huge volumes of numeric and textual data
  • Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
  • Flex your interpersonal skills to translate the complexity of your work into tangible business goals
  • This role works directly with our Enterprise Payments team to streamline all payment/monetary transfer channels. This ranges from ingestion, through anomaly detection, and even operational streamlining with agentic processes.

The Ideal Candidate is:
  • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
  • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea.
  • Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
  • Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.

Basic Qualifications:
  • Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
    • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics
    • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics
    • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)

Preferred Qualifications:
  • Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics)
  • At least 1 year of experience working with AWS
  • At least 3 years' experience in Python
  • At least 3 years' experience with machine learning
  • At least 3 years' experience with SQL
  • At least one agentic system personally built
  • At least one machine vision model personally built

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $161,800 - $184,600 for Princ Associate, Data Science
Richmond, VA: $147,100 - $167,900 for Princ Associate, Data Science
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

What Capital One employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply