Senior Model Development Lead

1 week ago


Kollam, Kerala, India beBeeClimate Full time ₹ 1,84,63,657 - ₹ 2,61,98,881

Key Responsibilities

Leadership and Strategy
  • Elevate the wholesale Risk model development team to new heights by spearheading Centre of Excellence (CoE) creation from scratch.
  • Provide visionary leadership and contribute to the evolution of best practices in model development and validation.
  • Stay abreast of the latest regulatory and industry updates, distilling them into actionable insights for model design.
  • Independently research and develop innovative solutions to stay ahead of the curve.
Stakeholder Engagement
  • Develop compelling presentations and facilitate effective communication with Senior Management and Board-level committees.
  • Nurture relationships with multiple stakeholders across the credit lifecycle: Limit Management, Collateral Management, RAROC, Customer Rating.
  • Review financial spreading logic in newly developed credit lifecycle system to ensure seamless integration.
  • Support governance and audit readiness through meticulous model documentation and transparent development practices.
Technical Expertise
  • Design and implement a holistic process for development, validation, and lifecycle management of Wholesale Rating Models.
  • Develop and validate a range of models including Corporate/Wholesale Rating Models: Large Corporate, Mid Corporate, SME, Sovereign, FI, HNWI, Project Finance, and Specialized Lending.
  • Pioneer new approaches for rating model development in low default portfolios.
  • Master Rating Scale (MRS) calibration to ensure accuracy.
People Development
  • Build, mentor, and lead a high-performing team of modelers and consultants.
  • Cultivate capability building and continuous learning within the team through training, peer reviews, and knowledge sharing.
Model Monitoring and Analytics
  • Define the goals of model monitoring, considering factors like accuracy and other relevant metrics based on the model purpose.
  • Determine the expected performance of the respective models on historical data.
  • Implement monitoring tools to continuously assess model performance, including input data quality and predictions.
  • Communicate model performance to relevant stakeholders to ensure prompt attention to potential issues.
  • Regularly review and improve the model performance process based on feedback, changes in underlying data, and evolving business requirements.
Climate Risk Analytics
  • Develop statistical climate risk models, integrating economic and social data to understand climate risks' impact.
  • Develop different climate scenarios based on various emission pathways and climate change projections. Assess the potential impact of each scenario on identified financial risk.
  • Based on statistical models, develop adaptation strategies to mitigate relevant risks.
  • Establish a system for continuous monitoring of climate data and updating climate risk models regularly.
  • Incorporate existing and potential future policies and regulations related to climate change into model development.
  • Engage stakeholders in the decision-making process to ensure comprehensive understanding of local conditions, priorities, and concerns.


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