Wholesale Risk Model Development Leader

1 day ago

Pune, Maharashtra, India beBeeRiskManagement Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Overview

As a seasoned professional, you will lead the development of wholesale Risk models and collaborate with senior management to implement effective risk governance and best practices. Your expertise in Statistics and Mathematics will drive the growth of our Centre of Excellence for Wholesale Rating Models.

Key Responsibilities
  • Establish a scalable Centre of Excellence, providing thought leadership and contributing to industry standards.
  • Stay updated on regulatory changes and integrate them into model design considerations.
  • Independently research and develop innovative solutions to drive business growth.
Stakeholder Engagement
  • Develop presentations and communicate with senior management and board-level committees.
  • Engage stakeholders across the credit lifecycle, including limit management, collateral management, RAROC, and customer rating.
  • Review financial spreading logic in newly developed credit lifecycle systems.
  • Sustain audit readiness through proper model documentation and transparent development practices.
Technical & Delivery
  • Design and implement end-to-end processes for developing, validating, and managing Wholesale Rating Models.
  • Develop and validate corporate/wholesale rating models, including large corporates, mid-corporates, SMEs, sovereigns, FIs, HNWIs, project finance, and specialized lending.
  • Explore new approaches for rating model development in low default portfolios.
  • Master Rating Scale (MRS) calibration.
People Management
  • Built, mentor, and lead a team of modelers and consultants.
  • Drive capability building and continuous learning within the team.
Climate Risk Analytics
  • Develop statistical climate risk models integrating economic and social data to understand climate risks' impact.
  • Develop different climate scenarios based on emission pathways and climate change projections, assessing their potential impact on identified financial risk.
  • Develop adaptation strategies to mitigate relevant risks.
  • Monitor climate data and update climate risk models regularly.
Requirements
  • Strong foundation in Statistics and Mathematics with hands-on experience in developing and validating wholesale rating models.
  • Proficient in programming languages R and Python, with knowledge of data analysis and visualization using Excel and PowerPoint.
  • Hold a degree in Statistics, Mathematics, Computer Science, Quantitative Finance, Economics, Engineering, or related fields.
  • Passionate about risk management and advancing credit risk modeling science.
  • Excellent communication skills, both written and spoken, with fluency in English.

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