Associate Manager II - Credit Risk

About the Team:

The Risk team at Navi is responsible for identifying, assessing, and mitigating potential risks across the organisation. The Credit Intelligence team, part of the Risk function at Navi, focuses on studying granular customer level data to gather deep insights that feedback into improving credit underwriting, as well as any strategic initiatives to enhance user engagement.

About the Role:

Navi is looking for someone in Credit Risk to join the Group Risk function, focusing on quantitative risk management across credit portfolio and model risk. The role involves supporting the development, validation, and ongoing monitoring of credit decisioning models and underwriting strategies. You will work closely with cross-functional teams to deliver insights that guide business decisions, manage credit risk exposure, and contribute to key risk analytics initiatives including stress testing, portfolio diagnostics, and macroeconomic scenario modelling. This is a high-impact role requiring strong analytical acumen, comfort with quantitative methods, and the ability to work across both structured and exploratory problem statements.

What We Expect From You:

- Work on the Risk function mandates related to credit and model risk management, aligning to the roadmap of planned objectives across these areas

- Support quantitative risk measurement and management initiatives for the lending business. These initiatives could include:

1. Credit model validation / monitoring

2. Review of AI / ML decision models and Underwriting Strategies

3. Portfolio health monitoring, perform RCAs to mitigate risk

4. Macro-economic modeling and loss forecasting

5. Quantification of stress testing outputs

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

- Assist the Group Risk function in ad-hoc quantitative modelling and risk analytics

Must Haves:

- Bachelors/Masters degree, preferably with specialisation in economics/ statistics/quantitative finance

- Working knowledge of AI / ML techniques in quantitative modelling

- Proficient knowledge of SQL, Excel, Tableau. Python would be a plus

- Experience in financial modelling would be an add-on

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

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

- Excellent verbal and written communication skills, as well as presentation skills