Head of Actuarial Science & Data Science

US Home Insurance

Location / Work Mode: Mysuru / Bangaluru

We're hiring a leader to head Actuarial Science for our US home insurance line, owning pricing, reserving, risk modelling, and the data science capability that supports them. This is a build-and-run role: you'll set direction, manage a team, and stay close enough to the technical work to be credible with both actuaries and data scientists.

What You'll Own

Pricing & Reserving

- Oversee pricing model development for US home insurance products — competitive, profitable, and filing-ready
- Direct reserving: loss development analysis, solvency checks, risk segmentation, competitor benchmarking

Data Science & Modelling
- Lead predictive modelling using Python, SQL, GLM/GAM, XGBoost, and platforms like DataRobot and Akur8
- Drive automation of actuarial workflows, dashboards, and reporting

Risk & Compliance
- Partner with catastrophe modelling teams on property risk exposure (hurricane, flood, other perils)
- Provide actuarial input on reinsurance treaties, capital adequacy, and enterprise risk management
- Ensure compliance with US state regulatory requirements, including rate filings

Leadership





- Build and mentor an actuarial + data science team
- Represent actuarial insights at the executive level; translate technical findings for non-technical stakeholders
- Partner with product, underwriting, finance, and technology teams to improve data integrity and product performance

Must-Have
- Fully qualified actuary — CAS (FCAS/ACAS) required, or IAI/IFOA with demonstrated US P&C experience
- 20+ years in actuarial roles, including direct client-facing work with US insurance clients and leadership of large teams/projects
- Hands-on proficiency in Python, SQL, and at least one of R/Tableau/Power BI
- Working knowledge of ML/predictive modelling (GLM, GAM, XGBoost) — doesn't need to be a full time data scientist, but must be able to direct and evaluate this work
- Experience with actuarial software (ResQ, ProVal or equivalent)
- Prior team leadership (state team size, e.g. "led teams of 5+")

Nice-to-Have
- Direct experience with DataRobot, Akur8, or similar deployment platforms
- Exposure to catastrophe modelling and reinsurance structuring
- Track record of scaling ML/automation solutions within an actuarial function

📌 Actuarial Science (Bengaluru)
🏢 Sudhanand Group
📍 Bengaluru