Lead Data Scientist

A company is looking for a Lead Data Scientist to transform cyber-insurance through advanced modeling and analytics.

Key Responsibilities

Develop, calibrate, validate, and stress test probabilistic cyber risk models for the (re)insurance and financial services markets

Implement methodologies to quantify the financial impact of cyber risk on entities and large insured portfolios

Integrate and automate modeling processes in the production pipeline and communicate results to stakeholders

Qualifications & Requirements

Education : PhD or MS in Applied Mathematics, Statistics, Computer / Data Science, Engineering, or a related quantitative field

Experience Level : 7+ years in applied statistics / data science or quantitative risk modeling with scalable models in production

Modeling Expertise : Experience with GLM and stochastic frequency-severity models, Monte Carlo simulation, and portfolio aggregation

Data & Engineering : Proficiency in SQL and Python for data manipulation and experience with distributed processing frameworks

Cloud & MLOps : Familiarity with AWS services for model development and orchestration frameworks