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This model development role will support required enhancements to existing risk scenario design and expansion capabilities in line with emerging industry practices and regulatory expectations.
Job Responsibility:
Utilize Matlab, Python etc to build and test statistical models
Support the development of scenario design and expansion approaches
Conduct research to identify causal drivers and to support scenario design methodological approaches
Lead model development efforts to build best-in-class models to translate climate variables into macroeconomic and microeconomic variables
Interpret scenario variable pathways and ensure variable projections are consistent with scenario assumptions, model assumptions and statistical and econometric foundation assumptions
Ensure methodological consistency and coherency across scenarios developed and used across the organization
Requirements:
Strong understanding of econometric model development and model development experience
Proficient in Python, Matlab etc.
4+ years of post-PhD work experience, or 6+ years of post-Master’s work experience
Experience in dealing with change projects and/or building / delivering new capabilities
Experience with scenario expansion for scenario analysis and stress testing purposes
Solid understanding of NGFS, IPCC, and IEA scenarios
Familiarity with industry leading climate risk models and physical risk data providers
Strong organizational skills
Excellent written and oral communications skills
Proven ability to partner and collaborate across an organization
Strong tenacity and resilient under pressure
Strong analytical problem-solving skills
Nice to have:
Experience with scenario expansion for scenario analysis and stress testing purposes
Solid understanding of NGFS, IPCC, and IEA scenarios
Familiarity with industry leading climate risk models and physical risk data providers
What we offer:
Competitive base salary
Hybrid working model (up to 2 days working at home per week)
Additional benefits that support well-being, living well, and saving well
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