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Computer Science Banking Jobs in Georgia (NOW HIRING)

... experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering 3. Must be able to perform in a cross-functional and collaborative team ...

... Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering, or equivalent education and related training or experience 3. 4+ years of decision science ...

Data Scientist

Atlanta, GA · On-site

$112 - $131/hr

Bachelor's degree in a quantitative field such as statistics, computer science, engineering or ... Bank location three (3) or more days per week. If there's anything we can do to accommodate a ...

Data Scientist

Atlanta, GA · 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 ...

... Computer Science, or Engineering * Four years of relevant work experience if candidate lacks graduate degree * Previous experience in the banking or fin-tech industry The annual base salary for this ...

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Computer Science Banking information

See Georgia salary details

$15.9K

$52.8K

$110.1K

How much do computer science banking jobs pay per year?

As of Aug 27, 2026, the average yearly pay for computer science banking in Georgia is $52,818.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,511.00 and $73,137.00 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 the most commonly searched types of Computer Science Banking jobs in Georgia?

The most popular types of Computer Science Banking jobs in Georgia are:

What are popular job titles related to Computer Science Banking jobs in Georgia?

For Computer Science Banking jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Computer Science Banking jobs in Georgia look for?

The top searched job categories for Computer Science Banking jobs in Georgia are:

Infographic showing various Computer Science Banking job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 73% Physical, 2% Hybrid, and 25% Remote job distribution, with an average salary of $52,818 per year, or $25.4 per hour.

Data Scientist II- Fair Banking and Regulatory Programs

Atlanta, GA • On-site


Truist
Finance and Insurance • 10K+ employees

8.0

Company rating: 8.0 out of 10

Based on 119 frontline employees who took The Breakroom Quiz

70th of 172 rated banks

People enjoy working here

Good employer

Recommended by students


Full-time

Medical, Dental, Vision, Life, Retirement, PTO

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


Job description

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.

Need Help?

If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).

Regular or Temporary:

Regular

Language Fluency: English (Required)

Work Shift:

1st shift (United States of America)Please review the following job description:The Fair Banking & Regulatory Programs (FBRP) is seeking talent with quantitative and analytical background to play a critical role in the risk management of Fair Banking regulations, with a focus on client fairness and discrimination testing. The Compliance Data Scientist II will serve as an independent and collaborative player of the FBRP Analytics team to test and assess compliance with ECOA, FHA, UDAAP, HMDA, and 1071 regulations.
This role will serve as the data expert on corresponding coverage areas, the key liaison with Business Unit (BU) data teams, and a core stakeholder with model development team during development activities. The Compliance Data Scientist II will also perform sophisticated analytics and develop visualizations to provide actionable insights that improve business outcomes and minimize risk, as well as providing consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics.

ESSENTIAL DUTIES AND RESPONSIBILITIES
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.
1. Independently perform sophisticated data analytics (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
2. Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders.
3. Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome.
4. Engage in stakeholder meetings to identify business objectives and scope solution requirements.
5. Independently write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) to create predictive analytics applications.
6. Use, maintain, share and collaborate through Truist internal code repositories to foster continual learning and cross-pollination of skillsets.
7. Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist's capabilities.
8. Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices; partner with cross-functional teams to coordinate rules on data usage, data governance and analytics capabilities.


QUALIFICATIONS
Required Qualifications:

The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
1. Bachelor's degree and four or more years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training
2. Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests
3. Familiarity with linear algebra concepts for optimization, complex matrix operations, eigenvalue decompositions, and principal components; working knowledge of calculus/differential equations, with understanding of stochastic processes
4. Demonstrate understanding of data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment
5. Strong familiarity with data extraction in a variety of environments (SQL, JQuery, etc.)
6. Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark
7. Experience in managing multiple projects with tight deadlines in a collaborative environment

Preferred Qualifications:
1. Master's degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering
2. Fair lending or credit risk experience is preferred

3. Four years of relevant work experience if candidate lacks graduate degree
4. Previous experience in the banking or fin-tech industry

To comply with the Virginia pay transparency statue and for work location in VA only, the annual base salary for this position is $88,000-$110,000.

OTHER JOB REQUIREMENTS / WORKING CONDITIONS

Sitting
Constantly (More than 50% of the time)
Visual / Audio / Speaking
Able to access and interpret client information received from the computer and able to hear and speak with individuals in person and on the phone.
Manual Dexterity / Keyboarding
Able to work standard office equipment, including PC keyboard and mouse, copy/fax machines, and printers.
Availability
Able to work all hours scheduled, including overtime as directed by manager/supervisor and required by business need.
Travel
Minimal and up to 10%

General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position.Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.

Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.

EEO is the Law E-Verify IER Right to Work


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About Truist

Sourced by ZipRecruiter

Truist is combining distinctive personal service with investments in innovation to create transformational client experiences. We believe the unique blend of human touch and innovative technology will set us apart, instill confidence, and build deeper levels of trust with our clients

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

2019


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