Credit Risk Manager – Portfolio Analytics

About the role

Evangelize and demonstrate the value of analytics for informed business decision‑making by developing and deploying analytical solutions. Provide data‑driven insights to stakeholders to address various lending business nuances.

Key responsibilities

• Portfolio monitoring & analytics
• Risk strategy & policy design
• Stress testing & risk containment
• Loss forecasting & scenario planning
• Product & growth partnership
• Collections interface & strategy
• Compliance & bureau management

Required profile

• 5‑8 years in portfolio risk management within FinTech, banks or NBFCs
• Hands‑on experience with SQL, Python, R and PySpark
• Strong understanding of bureau data, alternate data, scorecards and digital lending APIs
• Ability to translate data into clear insights and recommendations
• Familiarity with BI tools such as Tableau, Looker and Metabase
• Understanding of machine‑learning models applied to credit risk
• Strong problem‑solving and stakeholder‑management skills

Required skills

• SQL
• Python
• R
• PySpark
• Tableau
• Looker
• Metabase
• Machine‑learning for credit risk

What we offer

• A collaborative, output‑driven program that unites technology and business
• Opportunities to improve average revenue per user through cross‑sell initiatives
• 360° feedback from peer teams on your support of their goals
• Earned respect from peers and managers
• Compensation designed to create wealth for the right fit