Quant jobs / MSCI

Risk and Resilience Engineer

MSCI seeks a modeller connecting climate hazards to losses on buildings and infrastructure. The role converts engineering evidence and imperfect data into financial estimates of damage, downtime and resilience benefits.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

Calibrate damage and recovery models for multiple natural hazards.
Translate building exposures into repair-cost and downtime estimates.
Validate model predictions and quantify uncertainty.
Estimate how adaptation measures change expected losses.

What they ask for

Required

Structural or civil engineering knowledge
Catastrophe-loss modelling
Probability and statistics
Scientific programming
Model validation
Research communication

Preferred

Property-level loss-model development
Cloud or high-performance computing

Education: Master’s-level preparation with relevant experience, or a PhD, in an engineering or related quantitative subject; a PhD is preferred.
Experience: The master’s route specifies roughly three to five or more years of relevant experience.
Languages and tools: Python
Git
AWS
GCP
Azure

How to prepare

Build a vulnerability curve linking hazard intensity to damage.
Quantify uncertainty around simulated repair costs.
Validate a simple loss model against observed damage data.

What to study

The Risk Quant roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on MSCI’s site before applying: requirements, location and pay can change after we check them.

View the posting on MSCI’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with MSCI and doesn’t handle applications.