Physical Climate Risk Model Developer, Vice President

Develop quantitative models to assess physical climate and nature-related risks impacting Citi's portfolios and operations.

Build geospatial analytical pipelines to analyze climate hazards using complex datasets for stress testing and scenario analysis.

Collaborate across risk, technology, and business teams to implement models, perform validations, and communicate findings to technical and non-technical stakeholders.

6–10+ years in quantitative modeling, data science, climate risk, catastrophe modeling, or environmental risk analytics.

Advanced degree (MS or PhD) in Hydrology/Meteorology, Climate Science, Environmental or Life Sciences, Statistics, Physics, Engineering, Mathematics, or related natural hazard disciplines.

Proficiency in Python, SQL, and Unix/Linux programming environments; strong technical documentation experience.

Work Experience Required: 6–10+ years as stated explicitly in the JD.

Strong expertise in physical climate risk, natural hazard modeling, and geospatial analytics with regulatory policy knowledge.

Experience in Bayesian inference, spatial statistics, and machine learning applied to environmental risk analytics.

Ability to translate complex scientific and model outputs into financial risk metrics for multi-disciplinary teams and regulatory bodies.