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.
riskandquants-in@theedgepartnership.com
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.