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Senior Risk Model Lead

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Thoothukudi, Tamil Nadu, India beBeeClimate Full time ₹ 2,00,00,000 - ₹ 3,00,00,000

Key Responsibilities

We are seeking a senior leader to lead the wholesale Risk model development team and collaborate with the Head of Risk Analytics and Capital Management in implementing risk governance practices. The role is focused on establishing a new Centre of Excellence (CoE) for Wholesale Rating Models, developing best practices, and tracking regulatory updates.

  • Establish a scalable framework for Wholesale Rating Models from scratch.
  • Provide thought leadership and contribute to model development and validation best practices.
  • Track latest regulatory and industry updates and translate them into model design considerations.
  • Independently research and develop innovative solutions.

Stakeholder Engagement

  • Prepare presentations and communicate effectively with Senior Management and Board-level committees.
  • Engage with multiple stakeholders across the credit lifecycle: Limit Management, Collateral Management, RAROC, Customer Rating.
  • Review financial spreading logic in newly developed credit lifecycle system.
  • Support governance and audit readiness through proper model documentation and transparent development practices.

Technical Deliverables

  • Design and implement end-to-end process for development, validation, and lifecycle management of Wholesale Rating Models.
  • Develop and validate a range of models including Corporate/Wholesale Rating Models.
  • Explore new approaches for rating model development for low default portfolios.
  • Master Rating Scale (MRS) calibration.

Talent Development

  • Build, mentor, and lead a team of modelers and consultants.
  • Drive capability building and continuous learning within the team through training, peer reviews, and knowledge sharing.

Model Monitoring and Climate Analytics

  • Outline goals of model monitoring considering factors like accuracy and other relevant metrics based on the model purpose.
  • Determine expected performance of the respective models on historical data.
  • Implement monitoring tools to continuously assess model performance. This includes monitoring input data quality, predictions.
  • Communicate model performance to relevant stakeholders to ensure prompt attention to potential problems.
  • Regularly review and improve the model performance process based on feedback, change in underlying data, and evolving business requirements.
  • Develop statistical climate risk models, integrate economic and social data to understand how climate risks may impact.
  • Develop different climate scenarios based on various emission pathways and climate change projection.
  • Based on the statistical models, develop adaptation strategies to mitigate relevant risks.
  • Incorporate existing and potential future policies and regulations related to climate change into the model development.
RequirementsEssential Skills and Qualifications
  • A strong foundation in Statistics and Mathematics. You have hands-on experience in developing and validating Wholesale Rating Models (PD, LGD, EAD) and a deep understanding of model lifecycle best practices.
  • Strong programming languages such as R and Python, and proficiency in data analysis and visualization using Excel and PowerPoint. Knowledge of other relevant tools or platforms would be an advantage.
  • Hold a degree in Statistics, Mathematics, Computer Science, Quantitative Finance, Economics, Engineering, or a related field.
  • Passionate about risk management and advancing the science of credit risk modeling. Excellent communication skills, both written and spoken, with fluency in English. Ability to convey complex technical concepts clearly to both technical and non-technical stakeholders.
Desirable Qualifications
  • Postgraduate or professional qualification in risk management or finance such as CFA, FRM, PRM.
  • Experience of developing teams in a multi-jurisdictional and matrixed organization.
  • Understanding and experience of BCBS frameworks, particularly those relating to risk and capital.