Director of Insurance Analytics

Company Overview

MSIG USA is the US‑based subsidiary of MS&AD Insurance Group Holdings, Inc., one of the world’s top P&C carriers and a global Class 15 insurer, with A+ ratings and a reach that spans 40+ countries and regions. Leveraging our 350‑year heritage, MSIG USA brings the financial strength, expertise, and global footprint to offer commercial insurance solutions that address your business’s unique risks.

MSIG USA continues to grow!

Part of the MS&AD group, a top‑10 global P&C insurance carrier, MSIG USA is on a mission to become a data‑driven leader in specialty insurance, focused on ambitious and profitable growth. Our Insurance Analytics function is at the heart of this transformation – delivering analytics and data science solutions that drive impact across Underwriting, Pricing, Claims, Actuarial and beyond. We are seeking a hands‑on analytics Manager/Director to lead a portfolio of high‑impact initiatives, drive cross‑functional delivery, and personally develop analytical solutions.

This role is ideal for a builder‑leader who thrives on both technical execution and stakeholder engagement. You will lead the full analytics lifecycle end‑to‑end: problem framing and hypothesis definition, experimentation and modeling, and operationalization into repeatable decision support with monitoring and sustained adoption. Success is measured by measurable business outcomes, not slideware. (Hybrid — 4 days in office; remote considered in exceptional circumstances)

• Lead a portfolio of analytics & data science initiatives.
• Own a portfolio of initiatives end‑to‑end: problem framing, prioritization, delivery planning, stakeholder alignment, and measurable business outcomes.
• Translate ambiguous business questions into clear problem statements, hypotheses, and structured analytical approaches that influence decisions and operations.
• Define success metrics and measurement plans (including benefit estimation) and track adoption and impact over time.
• Drive cross‑functional delivery across Underwriting, Pricing, Claims and Actuarial; ensure solutions are practical, adopted, and aligned to business priorities.
• Partner closely with business leaders to align work to decision needs, manage trade‑offs transparently, and maximize impacts.
• Contribute directly by writing and reviewing code (Python & SQL), building analytical prototypes, reusable analytics assets, and decision‑support tools, and unblocking technical decisions.
• Apply statistical and machine‑learning techniques (e.g., regression, classification, clustering, time series) to solve business problems and support decision‑making.
• Develop and deploy solutions in a cloud‑based analytics environment, partnering with platform and engineering teams to operationalize outputs into business workflows and drive sustained adoption.
• Design and execute experiments and tests (as appropriate to the use case) to evaluate interventions, quantify impact, and support decision‑making.
• Define and reinforce production‑minded practices and standards for analytical quality appropriate to the use case: validation, testing/controls, documentation, reproducible code, and operational transition plans for ongoing use.
• Establish monitoring expectations appropriate to the solution (e.g., usage, data quality, and model performance) and drive continuous improvement based on signals.
• Deliver decision support for Underwriting and Pricing/Actuarial.
• Lead and contribute to solutions that improve underwriting and pricing decisions (e.g., portfolio diagnostics, segmentation and feature development, workflow decision support), partnering closely with business leaders to drive adoption and measurable impact.
• Support implementation into decisions and processes by educating stakeholders on model/analysis intent, limitations, and appropriate use, and by providing practical documentation and tooling.
• Communicate findings clearly to both technical and non‑technical audiences, and translate insights into concrete actions, process changes, or product improvements.
• Partner with Claims leadership to identify and deliver high‑value analytics and decision‑support opportunities…