Risk Model Lead

24 hours ago

Bhavnagar, Gujarat, India beBeeRiskSpecialist Full time ₹ 1,94,40,000 - ₹ 2,54,60,000
Lead Risk Modeler & Climate Analytics Specialist

The role involves spearheading the development of wholesale risk models and collaborating with senior stakeholders to implement effective risk governance practices.

  • Key Responsibilities:
  • Establish a Centre of Excellence for Wholesale Rating Models, providing thought leadership and best practices in model development and validation.
  • Stay up-to-date with regulatory and industry updates (Basel guidelines, IFRS 9, local regulations, rating agency methodologies) and apply them to model design considerations.
  • Develop innovative solutions through independent research and analysis.
  • Strategic Leadership:
  • Drive business growth through strategic planning and execution.
  • Engage with stakeholders across the credit lifecycle: Limit Management, Collateral Management, RAROC, Customer Rating.
  • Review financial spreading logic in newly developed credit lifecycle systems.
  • Technical Delivery:
  • Design and implement an 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 (Large Corporate, Mid Corporate, SME, Sovereign, FI, HNWI, Project Finance, Specialized Lending).
  • Explore new approaches for rating model development for low default portfolios.
  • Master Rating Scale (MRS) calibration.
  • People Leadership:
  • 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, integrating economic and social data to understand how climate risks may impact.
  • Develop different climate scenarios based on various emission pathways and climate change projections. Assess potential impact of each scenario on identified financial risk.
  • Based on statistical models, develop adaptation strategies to mitigate relevant risks.
  • Knowledge, Skills & Experience:
  • Mandatory / Essential:
  • Strong foundation in Statistics and Mathematics, with 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. 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.

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