Senior Risk Analyst

GreenSky Administrative Services•Atlanta, GA

16h•Hybrid

About The Position

GreenSky is hiring a Senior Risk Analyst to develop and refine credit risk strategies for new unsecured personal loan originations in a point-of-sale context. The role assesses consumer creditworthiness, designs predictive models, monitors portfolio performance, evaluates policy changes, and supports risk management aligned with business objectives and regulatory requirements. The position collaborates with Legal & Compliance, Operations, Product, and Capital Markets and uses advanced analytics and programming tools to analyze large datasets and communicate findings to senior management. The position is based in Sandy Springs, Georgia, with a hybrid schedule of three days per week onsite and two days remote. Unrestricted work authorization is required both now and in the future; visa sponsorship and sponsorship transfers are not available. Compensation is determined by factors including relevant knowledge, skills, experience, and geographic market. The role is eligible for an annual bonus and a comprehensive total rewards package.

Requirements

1–5 years of experience conducting data analytics; experience with credit risk policies or strategies in financial services is preferred.
Bachelor’s degree in a quantitative field such as Economics, Statistics, Mathematics, Operations Research, Engineering, or Computer Science; an advanced degree is preferred.
Hands-on experience using generative AI tools to write, debug, or document code and analysis, with the judgment to critically review AI output and catch errors.
Ability to handle and analyze large datasets using SQL, R, Python, or a similar programming language.
Strong problem-solving, decision-making, and analytical abilities.
Excellent written, verbal, and presentation skills.
Skilled communicator with the ability to influence others.
Demonstrated ability to think creatively and critically.
Flexibility and ability to thrive in a rapidly changing, fast-paced environment.
Unrestricted work authorization now and in the future; visa sponsorship and sponsorship transfers are unavailable.

Nice To Haves

Knowledge of Tableau or similar business intelligence and data visualization tools.
Advanced degree in a quantitative field such as Economics, Finance, Statistics, Mathematics, Operations Research, Engineering, or Computer Science.
Experience in a financial services or financial technology organization.
Experience with unsecured consumer lending products.
Interest in using data and analytics to solve problems and learning about financial services, acquisitions strategy, and consumer lending.
Exposure to agentic or automated analytics workflows, or natural-language querying over governed data, for example in Snowflake.

Responsibilities

Develop and refine credit risk strategies for new unsecured personal loan originations, including approval criteria, credit limits, interest rates, and loan durations.
Analyze consumer credit bureau data and alternative data sources to assess creditworthiness and inform decision-making.
Design and implement predictive models to forecast borrower behavior, delinquency rates, and potential losses, aligned with risk appetite and business objectives.
Collaborate with Legal & Compliance, Operations, Product, and Capital Markets to execute strategies cohesively and support regulatory compliance.
Monitor and report on portfolio performance, identify trends and anomalies, and find opportunities to improve credit risk policies and procedures.
Conduct A/B testing and other experimental designs to evaluate credit policy changes and optimize underwriting criteria.
Stay informed about industry trends and regulatory changes and incorporate relevant insights into risk management practices.
Use advanced analytics tools and programming languages such as SQL, Python, and R to extract, manipulate, and analyze large datasets.
Prepare reports and presentations for senior management that explain findings, recommendations, and strategic implications.