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

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 ...

Truist

Data Scientist I - Card Fraud

Atlanta, GA · On-site

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

Truist

Data Scientist I - Card Fraud

Atlanta, GA

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

Truist

Data Scientist II

Atlanta, GA · On-site

... risk and also provide consultation to business leaders and other stakeholders on how to leverage ... science solution design, technical delivery, and measurable business outcome. 4. Engage in ...

Warnerbros

Sr. Principal Data Scientist

Atlanta, GA · On-site

Discovery-serving as a company-wide authority in advanced Data Science, Machine Learning, and ... Serve as a final technical reviewer for high-risk or high-impact ML solutions. 3. Architecture of ...

Truist

Fraud Data Scientist II

Atlanta, GA · On-site

... risk and also provide consultation to business leaders and other stakeholders on how to leverage ... science solution design, technical delivery, and measurable business outcome. 4. Engage in ...

Truist

Data Scientist II - Fraud Reporting

Atlanta, GA · On-site

... risk and also provide consultation to business leaders and other stakeholders on how to leverage ... Take accountability and ownership of end-to-end data science solution design, technical delivery ...

New

Truist

Data Scientist II - Fraud Reporting

Atlanta, GA · On-site

... risk and also provide consultation to business leaders and other stakeholders on how to leverage ... Take accountability and ownership of end-to-end data science solution design, technical delivery ...

New

Department of Human Services

Data Scientist

Atlanta, GA · On-site

$90K/yr

Mathematics, statistics, computer science, data science or field directly related to the position ... You will receive credit for all qualifying experience, including volunteer experience.Education:

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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 Aug 7, 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 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 job categories do people searching Credit Risk Data Science jobs in Fairburn, GA look for? The top searched job categories for Credit Risk Data Science jobs in Fairburn, GA are:
What cities near Fairburn, GA are hiring for Credit Risk Data Science jobs? Cities near Fairburn, GA with the most Credit Risk Data Science job openings:
Credit Risk Data Science jobs near you

Data Scientist (767893) Atlanta, GA 30334

R2 Technologies Corporation

Atlanta, GA • On-site

Full-time

Re-posted 22 days ago

Job description

Overview:
Data Scientist (767893)
Atlanta, GA 30334
We are seeking a highly analytical and detail-oriented Data Scientist with experience in Risk and Fraud analytics to join our growing team. This role will focus on developing and deploying machine learning models, statistical methods, and data-driven strategies to detect risky behaviors and prevent fraudulent activities across our products and services.
Key Responsibilities
• Collect, clean, and analyze large, complex datasets from multiple sources.
• Develop predictive models and machine learning algorithms to support decision-making and improve business performance.
• Translatebusiness problems into data-driven solutions with measurable impact.
  • Develop and deploy machine learning models to detect, predict, and prevent fraudulent transactions and behavior patterns.
  • Analyze large volumes of structured and unstructured data from multiple sources to identify fraud trends and root causes.
  • Collaborate with fraud operations, engineering, and compliance teams to implement real-time fraud detection solutions.
  • Design and monitor KPIs to evaluate model performance and improve fraud detection systems over time.
  • Conduct deep-dive investigations into fraud cases, creating detailed reports and actionable insights.
  • Stay current with emerging fraud techniques, industry best practices, and data science tools.

Required Qualifications
  • Bachelor's or master's degree in data science, Computer Science, Statistics, Mathematics, Economics or a related field.
  • 10+ years of professional experience in data science
  • Proficient in Python, SQL, SAS and machine learning techniques
  • Experience in responsible use of AI if used in solution design

• Strong analytical skills and the ability to identify patterns and trends from data
  • Experience working with large datasets and cloud platforms (e.g., AWS, GCP, Azure).
  • Strong understanding of supervised and unsupervised fraud detection techniques, including anomaly detection, behavioral modeling, and network analysis.
  • Experience with visualization tools like Tableau and Power BI.

Skills:
Python,SQL,SAS,AWS,GCP,Azure

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