Monitor key risk metrics (e.g., default rates, approval rates) and investigate significant changes.

Analyze large datasets to identify trends, anomalies, and areas for improvement in risk management processes.

Simulate the impact of credit policy or model changes, support A/B tests, and help guide rollouts to improve approval funnel performance.

Track performance post-implementation and refine strategies using feedback loops and business KPIs.

At least 5 years of experience in consumer credit risk analysis

Bachelor's degree in business, finance, economics, actuarial studies, computer science or another relevant field

Demonstrated proficiency in consumer credit risk assessment and how it relatesto other business units (marketing, engineering, finance, and legal)

Hands-on experience building, testing, deploying, and monitoring credit risk models (e.g., logistic regression, XGBoost, scorecards)

Good statistical and mathematical skills

Good working knowledge of SQL and Python

Strong written and verbal communication skills in English

Able to communicate complex credit risk concepts clearly to non-technical stakeholders

Independent, creative, and proactive problem-solving mindset