Qualifications

• Strong analytical skills with hands-on experience in SQL; Python preferred.
• Experience in credit risk strategy, credit policy, underwriting, or portfolio analytics.
• Good understanding of credit underwriting, line assignment strategies, and risk-based pricing.
• Ability to analyze diverse data types to identify trends and develop recommendations.
• Experience evaluating the impact of credit policy changes on key performance metrics.
• Understanding of credit risk concepts including eligibility criteria and exposure management.
• Experience with strategy testing and A/B testing preferred.

Responsibilities

• Assist in analyzing, developing, and monitoring credit policies and strategies.
• Analyze credit data to identify risk-adjusted growth opportunities and suggest policy changes.
• Develop and optimize credit line assignment and risk-based pricing strategies.
• Evaluate policy changes through portfolio analysis and scenario testing.
• Translate credit policies into actionable business rules using SQL and Python.
• Monitor credit risk and performance metrics to identify emerging trends.
• Collaborate with various teams to implement credit policy changes.

Benefits

• Opportunity to work with analytical tools and drive portfolio growth.
• Engagement in cross-functional collaboration with Risk, Product, Technology, and Operations teams.
• Potential for career advancement in a pivotal role within credit risk management.
• Exposure to strategy development and implementation in a high-impact area of the business.