int(10039)
Bangalore, India

AVP – Climate Risk Scenario Analysis

The AVP, Climate Risk Scenario Analysis, will be based in Bangalore, providing essential support for the Group Climate Risk team. This role involves collaboration with a dedicated onshore manager, focusing on content-driven topics and senior stakeholder management.

Please contact Yuvraj Singh or email your cv directly in word format with job reference number JOB- 12144 to riskandquants-in@theedgepartnership.com.

Please note that due to the high number of applications only shortlisted candidates will be contacted. If you do not hear from us in the next 5 business days, we regret to inform you that your application for this position was unsuccessful.

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Key responsibilities

Lead Scenario Analysis Workstream:

  • Oversee scenario analysis efforts for both the group and individual countries.
  • Act as the main contact for country-specific climate stress tests and scenario analysis.

Reporting and TCFD Compliance:

  • Lead reporting initiatives, ensuring compliance with TCFD (Task Force on Climate-related Financial Disclosures) requirements for countries.

Climate Risk Strategy:

  • Head the Climate Risk scenario workstream, focusing on regulatory and management stress testing, scenario analysis, and periodic evaluations.
  • Support the utilization of climate scenario analysis for various objectives, such as risk management, business decision-making, and strategy.

Business Understanding:

  • Demonstrate a comprehensive understanding of the business model and risk profile.

Process Evaluation and Improvement:

  • Evaluate existing controls and contribute to designing new controls as needed.
  • Support the development of a climate database, including sourcing and validating internal and external data.

People and Talent Development:

  • Collaborate with team members to foster a culture of knowledge sharing and continuous learning.

Role requirements

  • 8 – 12 years of strong experience in Climate Risk and/or Credit Risk Management.
  • Good communicator, in particular written communications in English.
  • Collaborative mindset.
  • Strong experience in MS Excel and PowerPoint.
  • Experience with coding in SAS, R, Python.
  • Econometric/statistical model building experience preferred.