About the role
We are seeking an experienced Associate Director Credit Risk Modelling to lead the development and governance of credit risk models that support lending strategy and portfolio risk management. This role will be responsible for driving model strategy, overseeing model development and validation, and translating analytical insights into credit policy and portfolio decisions. The individual will work closely with senior stakeholders across risk, underwriting, product, and business teams to strengthen risk frameworks while ensuring compliance with regulatory and internal governance standards.
Key Responsibilities
- Lead the design, development, and enhancement of credit risk models, including application scorecards, behavioral scorecards, and portfolio segmentation models.
- Define and drive the credit risk modelling strategy to support lending growth while maintaining strong portfolio quality.
- Oversee the use of internal datasets and external bureau data (CIBIL, Experian, Equifax, CRIF) to generate insights and improve risk decision frameworks.
- Provide leadership in the adoption of advanced analytics and machine learning techniques for improving model performance and predictive power.
- Establish and manage model validation, performance monitoring, stability analysis (PSI, CSI), and recalibration frameworks.
- Translate analytical insights into risk policies, credit decisioning strategies, and portfolio management actions in partnership with business and underwriting teams.
- Lead portfolio risk analytics, early warning frameworks, and loss forecasting initiatives to support senior management decision-making.
- Ensure strong model governance, documentation standards, and adherence to regulatory guidelines and internal risk policies.
- Partner with senior leadership to define credit risk appetite, portfolio strategies, and risk mitigation initiatives.
- Build and lead a high-performing risk analytics team, mentoring analysts and fostering strong analytical capabilities.
- Present risk insights, model performance updates, and strategic recommendations to senior management and key stakeholders.
Preferred Qualifications
- 8+ years of experience in credit risk modelling, analytics, or risk strategy within banks, NBFCs, fintechs, or financial institutions.
- Strong experience working with credit bureau data (CIBIL, Experian, Equifax, CRIF) and large-scale credit datasets.
- Expertise in statistical modelling techniques such as logistic regression, decision trees, and machine learning approaches.
- Proficiency in Python, SAS, R, SQL, or similar analytical tools.
- Strong experience with model governance frameworks, validation processes, and regulatory compliance.
- Proven ability to lead cross-functional initiatives and manage stakeholders across business and risk teams.
- Demonstrated team leadership and mentoring experience.
