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

Yamaha

Risk Analyst II

Kennesaw, GA

The position will provide analytical support to help shape YMFUS' Credit Risk strategies and broader business initiatives through data-driven insights and modeling. What you'll be doing: * Analyze ...

Yamaha Motor Corporation

Risk Analyst II

Kennesaw, GA · On-site

The position will provide analytical support to help shape YMFUS' Credit Risk strategies and broader business initiatives through data-driven insights and modeling. What you'll be doing: * Analyze ...

US Bank

Credit Risk Python Architect

Atlanta, GA · On-site

$111K - $131K/yr

Are you a data minded Python developer with a drive to understand the "why" in what you do? Can you ... Credit Risk Administration credit models, analytics, and reporting. We are seeking a Python ...

Smarsh

Lead Data Scientist

Atlanta, GA · Remote

$166K - $214K/yr

Smarsh empowers its customers to manage risk and unleash intelligence in their digital ... Experience with one or more data science and machine/deep learning frameworks and tooling ...

Smarsh

Lead Data Scientist

Atlanta, GA

Smarsh empowers its customers to manage risk and unleash intelligence in their digital ... Experience with one or more data science and machine/deep learning frameworks and tooling ...

SANY America, Inc.

Credit Manager

Peachtree City, GA · On-site

This role will perform full underwriting of entities and guarantors, analyze credit data and financial information of persons or companies applying for credit or loans to determine the risk to Sany ...

Truist

Data Scientist II - Card Fraud

Atlanta, GA · On-site

... science field, with the eye of continually advancing Truist's capabilities. * Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices ...

Truist

Data Scientist II - Card Fraud

Atlanta, GA · On-site

... science field, with the eye of continually advancing Truist's capabilities. * Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices ...

AIG

Data Scientist, GenAI

Atlanta, GA

At AIG, we're reshaping how the world manages risk, and we're inviting you to be a key part of that transformation. How you will create impact As a Data Scientist at AIG, you will serve a critical ...

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All JobsCredit Risk Data Science JobsCredit Risk Data Science Jobs in Fairburn, GA

Credit Risk Data Science information

See Fairburn, GA salary details

$35.8K

$110.1K

$191K

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

As of Jul 13, 2026, the average yearly pay for credit risk data science in Fairburn, GA is $110,111.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,800.00 and $135,800.00 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 are the key skills and qualifications needed to thrive as a Credit Risk Data Scientist, and why are they important?

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.
Credit Risk Data Science jobs near you
Risk Analyst II

Risk Analyst II

Yamaha

Kennesaw, GA

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 7 days ago

Yamaha rating

7.5

Company rating: 7.5 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

Job description

Yamaha Motor Finance - US has an exciting opportunity for a Risk Analyst II to support advanced analytics within the organization. This role will be responsible for analyzing and evaluating portfolio risk, forecasting losses, and supporting strategies to minimize credit and financial exposure while improving business performance. The position will provide analytical support to help shape YMFUS' Credit Risk strategies and broader business initiatives through data-driven insights and modeling.

What you'll be doing:

  • Analyze portfolio performance, forecast losses, and identify trends impacting credit risk and business outcomes.
  • Perform quantitative analysis and statistical modeling to evaluate credit, collateral, and customer performance.
  • Support the design, implementation, and ongoing optimization of credit risk strategies across originations and portfolio management.
  • Develop and maintain reports, dashboards, and recurring analytics to provide actionable insights.
  • Partner with internal stakeholders and external vendors to support data, scorecards, and decision engine management.
  • Conduct economic, industry, and portfolio trend analysis to inform strategic decision-making.

What you'll need to be successful:

  • Bachelor's degree in Business Administration, Statistics, Economics, Mathematics, or other quantitative field
  • 1+ years of experience in data analysis, modeling, or forecasting
  • Proficiency in Excel
  • Strong communication and presentation skills
  • Strong attention to detail and accuracy

Preferences:

  • Coding experience (ex. SQL, SAS, Python)
  • Exposure to credit scoring models or decision engines
  • Experience with portfolio segmentation, vintage analysis, or loss forecasting
  • Desire to work in a fast-paced environment

Don't meet every single requirement? Studies have shown that women and underrepresented minorities are less likely to apply to jobs unless they meet every single qualification. At Yamaha, we understand that talent comes in various forms, as such we are dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles!

What's in it for you:

  • 401(k) and Profit Sharing
  • Fertility Benefits
  • 37.5-hour workweek
  • Medical, Dental, Vision
  • Life and AD&D Insurance
  • Wellness Program
  • Short-Term Disability Coverage (for hourly roles)
  • Long-Term Disability
  • Student Debt Repayment Benefits
  • Ability to borrow Yamaha product

Reports to: Department Manager

Yamaha Motor Corporation, USA is proud to be an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identify, national origin, veteran or disability or any other status protected by federal, state, or local law. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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