Vice President, Climate Risk Modeling & Analytics

Citi; New York (NY); Hybrid; USD 94,000 - 156,000; Full time

Benefits offered by this job

Health benefits

Parental leave

Learning resources

Volunteer programs

Generous PTO

Job summary

Citi is seeking a senior professional to develop quantitative models assessing physical climate and nature-related risks. The role focuses on geospatial analyses, data science, and integrating external datasets with Citi’s risk analytics ecosystem.

Candidates should have 6–10+ years in quantitative modeling or climate risk, with advanced degrees and strong programming skills in Python and SQL. Hybrid work model in Mumbai, with global collaboration and governance responsibilities.

Qualifications

• Advanced degree in a quantitative discipline is required.
• Experience in climate risk, CAT modeling, or environmental risk analytics is preferred.
• Strong programming, data modeling, and data management skills.

Responsibilities

• Develop quantitative models to assess physical climate and nature-related risks across portfolios and geographies.
• Build geospatial pipelines to evaluate hazards using climate, environmental, and asset-level data.
• Translate scientific risk drivers into financial metrics for stress testing and portfolio analytics.
• Leverage big data and machine learning to deliver deployable analytical solutions.
• Collaborate with internal and external stakeholders on data sourcing and model features.
• Write production-grade analytical code and support model governance and validation.

Skills

Quantitative modeling

Python

SQL

Geospatial analytics

Machine learning

Data science

Education

MS/PhD in quantitative field

Bachelor’s/Master’s preferred

Tools

Python

SQL

Unix/Linux

Job description

Citi is seeking a senior professional to develop quantitative models assessing physical climate and nature-related risks. The role focuses on geospatial analyses, data science, and integrating external datasets with Citi’s risk analytics ecosystem.

Candidates should have 6–10+ years in quantitative modeling or climate risk, with advanced degrees and strong programming skills in Python and SQL. Hybrid work model in Mumbai, with global collaboration and governance responsibilities.