Senior Risk Manager

5 days ago


Kurnool, Andhra Pradesh, India beBeeRiskManagement Full time ₹ 2,80,10,620 - ₹ 5,01,00,203
Lead Wholesale Risk Model Development

This is a leadership position that requires expertise in risk management and model development.

  • Key Responsibilities:
  • Establish a new Centre of Excellence for Wholesale Rating Models from scratch
  • Develop thought leadership on best practices in model development and validation
  • Monitor regulatory updates and integrate them into model design considerations
  • Research and develop innovative solutions

Stakeholder Engagement:

  • 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 systems
  • Support governance and audit readiness through proper model documentation and transparent development practices

Technical Expertise:

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

Leadership and 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

Climate Risk Analytics:

  • Develop statistical climate risk models, integrate economic and social data to understand climate risks' impact
  • Develop different climate scenarios based on emission pathways and climate change projections
  • Assess the potential impact of each scenario on identified financial risk
  • Establish a system for continuous monitoring of climate data and update climate risk models regulatorily

Qualifications:

  • Strong foundation in Statistics and Mathematics, hands-on experience in developing and validating Wholesale Rating Models (PD, LGD, EAD), and deep understanding of model lifecycle best practices
  • Strong programming languages such as R and Python, proficient in data analysis and visualization using Excel and PowerPoint
  • Hold a degree in Statistics, Mathematics, Computer Science, Quantitative Finance, Economics, Engineering, or related field
  • 10-15 years of progressive, multi-discipline risk management experience within banking sector
  • Deep understanding of risk management concepts and methodologies gained through development and practical application of risk policy/frameworks
  • Demonstrated capability to apply risk management concepts, analysis, and support to strategic decision-making processes


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