Credit Manager Jobs

About The Position

Requirements

• 6+ Years of experience in Credit Risk
• Strong analytical skills with hands-on experience in SQL
• Experience in credit risk strategy, credit policy, underwriting or portfolio analytics within Banking / Financial Services.
• Good understanding of credit underwriting, line assignment / credit limit strategies and risk-based pricing.
• Ability to analyze customer, application, bureau and portfolio data to identify trends and develop credit policy recommendations.
• Experience in evaluating the impact of policy changes on approval rates, credit losses, profitability and portfolio growth.
• Understanding of credit risk concepts such as eligibility criteria, risk segmentation, cut-offs, affordability, exposure management and pricing.
• Ability to define and monitor relevant risk and business KPIs to measure strategy performance.
• Strong problem-solving skills with the ability to translate analytical findings into actionable business recommendations.
• Ability to communicate and present analyses and recommendations effectively to business and risk stakeholders.
• Knowledge of coding best practices, data manipulation and development of reusable analytical frameworks.

Nice To Haves

• working knowledge of Python preferred.
• Experience with strategy testing, scenario analysis and A/B testing is preferred.
• Knowledge of external credit data sources such as credit bureaus, FICO or similar third-party data is preferred.

Responsibilities

• Assist in the analysis, development and monitoring of credit policies, including underwriting, line assignment and pricing strategies.
• Analyze credit and portfolio data to identify opportunities for risk-adjusted growth and recommend policy changes.
• Develop and optimize underwriting criteria, credit line assignment and risk-based pricing strategies.
• Evaluate the impact of credit policy changes through portfolio analysis, scenario testing and experiments.
• Translate credit policies and strategies into business rules using SQL and Python.
• Monitor key credit risk and business performance metrics and proactively identify emerging trends.
• Collaborate with Risk, Product, Technology and Operations teams to implement credit policy changes.