Climate Risk & Resilience Modeler

First Street Foundation; New York (NY); Hybrid; USD 90,000 - 125,000; Full time

Benefits offered by this job

Health insurance

Flexible working schedule

401(k) with company match

Paid parental leave

Vacation and sick days

Job summary

First Street Foundation in New York, NY, is seeking a Risk & Resilience Modeler to connect climate risk with financial outcomes. The candidate will develop models to predict structural damage from natural hazards, using a mix of engineering principles and machine learning.

The ideal applicant has a Ph.D. or a Master's with relevant experience, expertise in Python, and a solid background in risk modeling. We offer a competitive salary range of $90,000-$125,000 and a comprehensive benefits package.

Qualifications

• Ph.D. (preferred) or Master’s degree with 3 years experience in structural engineering, civil engineering, operation research, or related field.
• Expertise using scripted languages like Python.
• Hands-on experience in developing risk models for buildings or infrastructure systems.

Responsibilities

• Develop custom loss models representing climate and financial risk.
• Analyze historical loss data to improve model accuracy.
• Conduct statistical analysis to validate loss model predictions.

Skills

Risk modeling

Statistical analysis

Machine learning

Python

Building codes analysis

Education

Ph.D. in structural engineering or related field

Master’s degree with 3 years experience

Tools

Statistical software

Git

Job description

First Street Foundation in New York, NY, is seeking a Risk & Resilience Modeler to connect climate risk with financial outcomes. The candidate will develop models to predict structural damage from natural hazards, using a mix of engineering principles and machine learning.

The ideal applicant has a Ph.D. or a Master's with relevant experience, expertise in Python, and a solid background in risk modeling. We offer a competitive salary range of $90,000-$125,000 and a comprehensive benefits package.