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Credit Risk Data Science Jobs in Atlanta, GA (NOW HIRING)

Data & Model Operations Engineer

Norcross, GA · On-site

$107K - $128K/yr

A Bachelor's degree in a quantitative field such as Computer Science, Data Science, Statistics, Mathematics, or Engineering - or equivalent experience. Preferred: * Experience with credit risk models ...

Data & Model Operations Engineer

Norcross, GA · On-site

$107K - $128K/yr

A Bachelor's degree in a quantitative field such as Computer Science, Data Science, Statistics, Mathematics, or Engineering - or equivalent experience. Preferred: * Experience with credit risk models ...

In this dynamic position, you'll leverage advanced data analytics and database tools to support ... Credit Risk, and senior leadership. You'll also design and maintain reporting that tracks lending ...

In this dynamic position, you'll leverage advanced data analytics and database tools to support ... Credit Risk, and senior leadership. You'll also design and maintain reporting that tracks lending ...

Analyst II, Credit Risk

Kennesaw, GA · On-site

$70K - $105K/yr

In this dynamic position, you'll leverage advanced data analytics and database tools to support ... Credit Risk, and senior leadership. You'll also design and maintain reporting that tracks lending ...

Data Scientist

Alpharetta, GA · On-site

$95.30 - $158.80/hr

R115426Are you passionate about using data science to drive smarter risk decisions and create ... credit-based data sources, generally using GLM techniques* Supports existing models* Python ...

Vision | We create the future of credit risk management through data, analytics, and risk process innovation for our customers. Mission | We deliver data-driven information solutions to protect our ...

Are you passionate about using data science to drive smarter risk decisions and create meaningful ... credit-based data sources, generally using GLM techniques * Supports existing models * Python ...

Are you passionate about using data science to drive smarter risk decisions and create meaningful ... credit-based data sources, generally using GLM techniques * Supports existing models * Python ...

Are you passionate about using data science to drive smarter risk decisions and create meaningful ... credit-based data sources, generally using GLM techniques * Supports existing models * Python ...

The Manager of Data Science will oversee a team delivering generative AI solutions and collaborate with cross-functional teams to innovate and manage risk effectively. Responsibilities : • Oversee ...

... risk processes and governance programs, and credit data at U.S. Bank, or another mid-sized or large banking institution - Considerable understanding of the business line's operations, products ...

Showing results 21-40

Credit Risk Data Science information

See Atlanta, GA salary details

$35.6K

$109.5K

$189.9K

How much do credit risk data science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for credit risk data science in Atlanta, GA is $109,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,300.00 and $135,100.00 per year, depending on experience, location, and employer.

How does a credit risk data scientist typically collaborate with other teams within a financial institution?

Credit Risk Data Scientists often work closely with credit analysts, risk managers, and IT professionals to develop, validate, and implement models that assess borrower risk. They frequently participate in cross-functional meetings to translate complex analytical findings into actionable business insights. Collaboration with compliance and regulatory teams is also common to ensure that risk models meet current regulatory standards. Effective communication and teamwork are essential, as the role bridges technical model development and practical risk management decisions.

What is credit risk data science?

Credit Risk Data Science is a specialized field that uses statistical analysis, machine learning, and data modeling techniques to assess and predict the likelihood that a borrower will default on a loan or credit obligation. Professionals in this field analyze large datasets from financial transactions, credit reports, and market trends to develop models that help financial institutions make informed lending decisions. Their work helps manage risk, set appropriate interest rates, and comply with regulatory standards. By leveraging advanced analytics, credit risk data scientists play a crucial role in minimizing losses and maximizing profitability for banks and lenders.

What skills and qualifications are needed to thrive as a credit risk data scientist?

To thrive as a Credit Risk Data Scientist, you need strong analytical skills, proficiency in statistical modeling, and a solid background in finance, mathematics, or a related field, often supported by an advanced degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of credit risk modeling tools such as SAS or SQL are typically required. Critical thinking, attention to detail, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These abilities are crucial for building accurate risk models, informing strategic decisions, and ensuring regulatory compliance in financial institutions.
What are popular job titles related to Credit Risk Data Science jobs in Atlanta, GA? For Credit Risk Data Science jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Credit Risk Data Science jobs in Atlanta, GA look for? The top searched job categories for Credit Risk Data Science jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Credit Risk Data Science jobs? Cities near Atlanta, GA with the most Credit Risk Data Science job openings:
Infographic showing various Credit Risk Data Science job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $109,515 per year, or $52.7 per hour.

Small Business Credit Card Portfolio Risk Manager

US Bank

Atlanta, GA • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


U.S. Bank rating

8.2

Company rating: 8.2 out of 10

Based on 360 frontline employees who took The Breakroom Quiz

51st of 170 rated banks


Job description

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One.

Job Description

U.S. Bank is hiring a responsible, hard-working Risk Management professional skilled in SAS/SQL, data analysis, and reporting tools to manage small business credit card credit risks through underwriting strategies for the Small Business credit card Risk Strategy team.

Position Highlights

  • Responsible for underwriting strategies for the Small Business Credit Card portfolio. Analyze large amount of historical data to identify risk mitigation and growth opportunities through data-driven underwriting strategy improvements. Develop tools, segmentations, and strategies to optimize financial impact of these programs. Forecast the strategy's financial impact and track actual against forecast
  • Clearly and timely communicate strategy changes and financial impact to partners and senior leaders
  • Query large datasets using tools such as Python, SAS EG or SQL Plus, performing segmentation and decision tree analysis. Identify patterns through large credit card financial data
  • Work with consumer and commercial bureaus to improve data sources and tool for strategy improvement
  • Work closely with other areas of the organization such as system
  • Review accounts in the decisioning systems to validate accuracy of strategy execution and stability of key drivers
  • Monitor portfolio performance trends and loss patterns and identify strategy improvement opportunities in a timely manner
  • Work as a liaison between Compliance, Risk, Data Warehouse teams to keep data organized. Become a data expert for the Small Business team and build reports, data inventory, and analysis that help make data-driven decisions
  • Utilize reporting tools such as Power BI to create and automate timely and accurate tracking and reports for senior management. Summarize findings from the reports to deliver clear messages about strategy improvement opportunities

Basic Qualifications

  • Bachelor's degree or equivalent work experience
  • Five to seven years of related experience

Preferred Skills and Experience

  • Bachelor's degree or equivalent work experience, with emphasis in computer science, business, analytics, statistics, data science or equivalent work experience
  • Candidates with two plus years of relevant experience in credit card risk management functions are encouraged to apply
  • In-depth understanding of the Risk Management function in credit card risk management with a focus on line management
  • Strong analytical skills and ability to analyze models, tools, trends, and patterns
  • Expertise with any of these tool - Python, SAS, SAS EG or SQL plus to pull large amounts of data
  • Expertise with Microsoft suites and productivity tools, especially with Excel and PowerPoint
  • Expertise with Power BI is a plus
  • Strong process facilitation, project management, analytical, and presentation skills
  • Experience working with small business credit card portfolio preferred

Hybrid/flexible schedule

The role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days.

If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to ourdisability accommodations for applicants.

Benefits:

Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:

  • Healthcare (medical, dental, vision)

  • Basic term and optional term life insurance

  • Short-term and long-term disability

  • Pregnancy disability and parental leave

  • 401(k) and employer-funded retirement plan

  • Paid vacation (from two to five weeks depending on salary grade and tenure)

  • Up to 11 paid holiday opportunities

  • Adoption assistance

  • Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

Review our full benefits available by employment status here.

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

E-Verify

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about theE-Verify program.

The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $105,400.00 - $124,000.00

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Posting may be closed earlier due to high volume of applicants.


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About U.S. Bank

Sourced by ZipRecruiter

U.S. Bank is a reputable and established financial institution that plays a significant role in the banking sector. With a history spanning over 150 years, U.S. Bank has built a strong foundation of trust and reliability. As a comprehensive bank, they offer a wide array of financial products and services to cater to the diverse needs of their customers, including individuals, businesses, and communities. Customer satisfaction is of utmost importance to U.S. Bank. They prioritize delivering exceptional service and fostering long-term relationships with their clients. Through their extensive network of branches and advanced digital banking platforms, U.S. Bank ensures convenient access to their services, empowering customers to manage their finances efficiently and securely.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

Year founded

1863

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