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

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 Manager of Data Science at AIG, you will play a ...

Rooted in scientific discovery and innovation, Arclin's materials redefine performance across ... credit risk assessment methodologies, including financial analysis, external credit data, and ...

Rooted in scientific discovery and innovation, Arclin's materials redefine performance across ... credit risk assessment methodologies, including financial analysis, external credit data, and ...

Rooted in scientific discovery and innovation, Arclin's materials redefine performance across ... credit risk assessment methodologies, including financial analysis, external credit data, and ...

Rooted in scientific discovery and innovation, Arclin's materials redefine performance across ... credit risk assessment methodologies, including financial analysis, external credit data, and ...

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 ...

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 ...

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 ...

... risk to support profitable growth while ensuring compliance with corporate credit policies. We are ... Analyzes customer credit history and financial data to assess creditworthiness and recommends ...

... risk to support profitable growth while ensuring compliance with corporate credit policies. We are ... Analyzes customer credit history and financial data to assess creditworthiness and recommends ...

... credit risk, or fraud analytics. * 2+ years of hands‑on technical experience with data science/statistical tools and environments such as Python, Spark, AWS SageMaker, H2O, and SAS. * Strong ...

New

Credit Analyst

Suwanee, GA · On-site

$60K - $70K/yr

... risk to support profitable growth while ensuring compliance with corporate credit policies. We are ... Analyzes customer credit history and financial data to assess creditworthiness and recommends ...

... risk to support profitable growth while ensuring compliance with corporate credit policies. We are ... Analyzes customer credit history and financial data to assess creditworthiness and recommends ...

The Insurance Analytics team are the trusted leaders in analytics excellence, delivering innovative, data-driven solutions through cutting-edge data science and strategic risk solutions to drive ...

Showing results 41-60

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.

Full-time

Medical, Life

Posted 7 days ago


Job description

Do you enjoy turning complex platform usage data into clear, real-time operational insights that help teams act fast?

Are you excited to build AI-driven monitoring that detects abnormal patterns early and improves customer outcomes?

About the Business


LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management.

You can learn more about LexisNexis Risk at https://risk.lexisnexis.com/.

About the Team

The Business Services team partners closely with technology, operations, and product groups to ensure our platforms are reliable, observable, and continuously improving. We focus on operational intelligence, early issue detection, and translating data into meaningful action for the business.


About the Role

Operational Intelligence Analyst (AI & Analytics) - This role sits at the intersection of data science, platform monitoring, and customer experience-responsible for translating complex product usage data into actionable insights, alerts, and proactive interventions that protect revenue and improve platform health. As a core member of the Operational Intelligence team, this role partners closely across technology and operations to deliver real-time visibility, anomaly detection, and rapid response capabilities across product platforms.

Responsibilities

  • Analyze large-scale usage datasets using SQL and data science methodologies to identify trends, patterns, and anomalies in product platform activity.
  • Design, develop, and deploy AI models that automatically dashboard active usage and flag abnormal patterns in real time.
  • Build and maintain operational alerts, interactive dashboards, and visualization solutions using Databricks, Elastic AI, Kibana, PowerBI, and related tools.
  • Create data profiles and leverage them to generate timely, actionable analytics that support rapid business decision-making and operational response.
  • Partner closely with operations teams to establish and refine early-escalation workflows for customers experiencing issues with our product platforms.
  • Continuously monitor platform health metrics, perform root-cause analysis on usage anomalies, and recommend data-driven improvements to alerting logic and dashboards.
  • Collaborate with cross-functional stakeholders to translate business requirements into technical analytics solutions that deliver clear operational value.
  • Document analytics processes, model logic, and dashboard architectures to ensure knowledge sharing and long-term maintainability of the Operational Intelligence platform.
  • Stay current with emerging tools and best practices in data science, AI-driven monitoring, and business intelligence to drive continuous innovation within the team.
  • This role is ideal for a data-savvy consultant who thrives at the intersection of technical analytics and business impact.

Requirements:

Data Engineering & Analysis Foundation

  • Advanced SQL (required) with hands-on experience querying large-scale, high-velocity datasets
  • Experience working with distributed data platforms (e.g., Databricks, Spark, or similar)

Applied Data Science / ML Exposure (Practical > Theoretical)

  • Experience building or tuning anomaly detection, forecasting, or pattern recognition models
  • Ability to operationalize models into alerting or reporting systems (not just notebooks)

Monitoring, Alerting & Observability Mindset

  • Experience designing or supporting alerting frameworks tied to system or business thresholds
  • Familiarity with tools like Elastic, Kibana, Splunk, or similar observability platforms

Dashboarding & Visualization Experience

  • Proven ability to build actionable dashboards (Power BI, Kibana, etc.)
  • Focus on usability, surfacing signals vs. noise for operational teams

Root Cause & Incident Analysis Skillset

  • Demonstrated ability to investigate anomalies, trace issues across systems, and identify root causes
  • Experience translating data signals into clear operational or business impacts

Cross-Functional Business Translation

  • Ability to work directly with operations, product, and engineering teams
  • Converts ambiguous business needs into structured data/analytics solutions

Automation & Continuous Improvement Orientation

  • Experience improving alert logic, reducing false positives, and scaling analytics workflows
  • Exposure to scripting (Python preferred) for data processing or automation

Documentation & Platform Ownership Mindset

  • Ability to document data models, dashboards, and alerting logic for reuse and maintainability
  • Operates as a long-term owner of analytics assets-not just a builder

Working for You:

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:


- Medical Inpatient and Outpatient Insurance: Coverage for your healthcare needs.
- Life Assurance Policies: Providing financial security for your loved ones.
- Modern Family Benefits: Support for maternity, paternity, and adoption needs.
- Long Service Award: Recognition for your dedication and loyalty.
- Celebratory Allowance/Gifts: Marking special occasions to celebrate with you.
- Flexible Benefits Plan : Offering you wider choice of services and products
- Employee Assistance Program : Access support for personal and work-related challenges.
- Flexible Working Arrangements: Balance work and personal life effectively.
- Access to Learning and Development Resources: Empowering your professional growth.

U.S. National Base Pay Range: $86,600 - $144,400. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

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