The person would be a part of the Risk function primarily focusing on credit risk management for lending products. The team has end-to-end accountability for managing risk across all areas (credit, default, operational, fraud, capital/liquidity, and strategic/emerging/reputational) transcending all FinTech products (Consumer Finance, Seller Finance and Insurance).
Broad responsibilities would include developing advanced risk identification, assessment, measurement and reporting capabilities such as analysis of credit portfolio quality, loss forecasting, establishing risk analytics framework for early detection/mitigation of breaches in risk appetite/limits and defining/monitoring of key risk indicators
The candidate is required to:
o Define guiding principles/design policies to manage credit risk
o Establishing, implementing and maintaining the comprehensive enterprise-wide risk governance framework for the entire customer lifecycle
o Develop strategies, rules and create policies to manage risk & fraud
o Discover insights from a myriad of data sources that can help predict ability to pay and intent to pay
o Liaise with stakeholders and business leaders to gather requirements and deliver risk solution
Key Result Areas ::
o Ensure the risk metrics levels are well within benchmark by taking suitable actions and interventions
o Create innovative risk management policies that can strengthen underwriting strategies
o Work towards using alternate data sources and embbed the same in our existing framework
o Develop strategies for exposure management, customter leverage and credit limit management
Key Relationships :; Product, Engineering, Analytics
Competencies Required o Working knowledge of SAS, R, Python and other analytical tools
o Sharp analytical thinker and proven thought leader
o Strong communication skills ability to work with multiple product teams/stakeholders, understand key business objectives, and communicate complex concepts effectively to different audiences
o Tremendous drive towards results. Ability to persist against obstacles and get things done.
Academic Qualifications Required Masters degree in Mathematics / Statistics/ Economics/ Engineering or other quantitative disciplines
Nature of Relevant Work Experience Required Basic understanding of risk/fraud, working experience in banking and financial services sector
A leading HR consultancy in India.