About the Team The Risk team at Navi is responsible for identifying, assessing, and mitigating potential risks across the organization. The Credit Risk team, part of the Risk function at Navi, reviews and monitors the performance of credit underwriting policies and models, ensuring timely risk interventions and data-backed decision-making to manage portfolio quality.

This role offers a unique chance to build and scale credit risk management frameworks from the ground up in collaboration with credit underwriting, analytics and data science teams. It involves driving portfolio quality and credit performance across credit products, blending deep analytical thinking with strategic execution to ensure sustainable growth while managing credit losses and risk exposure in a dynamic, fast-paced environment.

Own accountability for credit losses and portfolio quality for the lending business, collaborating with business & underwriting teams to balance growth & credit risk as per profitability targets.

Work on the Risk function mandates related to credit & model risk management,



aligning to the roadmap of planned objectives across these areas.

Support quantitative risk measurement and management initiatives for the lending business. Portfolio health monitoring, perform RCAs to mitigate risk

Find patterns in the data and come up with actionable outcomes for prudent risk management

Help prepare outputs of risk analytics initiatives such that engagement with Senior Management, Board Committees and external stakeholders can be facilitated

Assist the Credit Risk function in ad-hoc quantitative modeling & risk analytics

Bachelor’s / Master’s degree, preferably with specialization in economics / statistics / quantitative finance

Working knowledge of SQL, Excel, Tableau, Python.

Ability to find patterns in data and analyze potential impact against key business drivers

Work in a dynamic environment of business, structure problems, define and track actionables

We are on

📌 Associate Director (Bengaluru)
🏢 Navi
📍 Bengaluru