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Director of Risk Modelling

2 weeks ago

Erode, Tamil Nadu, India beBeeRisk Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

The role involves leading the wholesale Risk model development team and collaborating with the Head of Risk Analytics and Capital Management to execute risk governance and practices around quantitative models.

Key Responsibilities
  • Establish a Centre of Excellence for Wholesale Rating Models and drive its growth.
  • Provide thought leadership in model development and validation, contributing to best practices.
  • Monitor regulatory updates and industry trends, applying them to model design considerations.
  • Independently research and develop innovative solutions.
Stakeholder Management
  • Prepare presentations and communicate effectively with Senior Management and Board-level committees.
  • Engage with 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 & Delivery
  • Design and implement end-to-end process for development, validation, and lifecycle management of Wholesale Rating Models.
  • Develop and validate Corporate/Wholesale Rating Models, including Large Corporate, Mid Corporate, SME, Sovereign, FI, HNWI, Project Finance, and Specialized Lending.
  • Explore new approaches for rating model development for low default portfolios.
  • Master Rating Scale (MRS) calibration.
People Management
  • 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
  • Outline model monitoring goals, considering factors like accuracy and other relevant metrics based on the model purpose.
  • Determine expected model performance 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.
Climate Risk Analytics
  • 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. 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 update climate risk models regulatorily.
  • Incorporate existing and potential future policies and regulations related to climate change into model development.
  • Involve stakeholders in meeting processes to ensure comprehensive understanding of local conditions, priorities, and concerns.
Requirements

Mandatory / Essential:

  • A strong foundation in Statistics and Mathematics. Experience in developing and validating Wholesale Rating Models (PD, LGD, EAD) and a deep understanding of model lifecycle best practices is required.
  • Strong programming languages such as R and Python, and proficiency in data analysis and visualization using Excel and PowerPoint are essential. Knowledge of other relevant tools or platforms would be an advantage.
  • A degree in Statistics, Mathematics, Computer Science, Quantitative Finance, Economics, Engineering, or a related field is necessary.
  • Excellent communication skills, both written and spoken, with fluency in English are required. The ability to convey complex technical concepts clearly to both technical and non-technical stakeholders is essential.
  • 10-15 years of progressive, multi-discipline risk management experience within banking sector is mandatory.
  • A deep understanding of risk management concepts and methodologies gained through development and practical application of risk policy/frameworks is necessary.
  • Ability to apply risk management concepts, analysis, and support to strategic decision-making processes is essential.
  • Demonstrated people and managerial leadership experience in a matrixed and multi-jurisdictional organization is required.
  • Outstanding interpersonal and influencing skills; personal credibility and ability to influence stakeholders at all levels, particularly senior colleagues, is necessary.

Desirable:

  • 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.
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