We are seeking a proactive, business-minded Director of Data Analytics / Data Scientist to partner with management in turning policy, premium, and loss data into decisions on pricing, reserving, reinsurance, capital, and underwriting.

The role owns the end-to-end workflow: mining data, building rate and reserve indications, supporting reinsurance renewals, evaluating capital adequacy, collaborating with consulting actuaries, and presenting to executives. This is a highly visible individual contributor role that is designed for a hands-on expert who wants to drive significant business impact.

Rate making & Rate Indications

• Produce overall and by-segment rate indications for personal and commercial lines, covering loss/premium trend, development, credibility, and expenses.
• Support classification ratemaking and develop rating factors using standard actuarial approaches.
• Prepare rate summary exhibits for communicating the proposed rate level need and findings to Company management. Be able to justify and defend proposed rate levels

Reserving & Reserve Indications

• Maintain reserving triangles by line and accident year; produce quarterly and ad-hoc indications using chain-ladder, Bornhuetter-Ferguson, expected loss ratio, and frequency-severity methods.
• Analyze reserve adequacy and movement, explaining variances in business language.
• Partner with claims on case reserve philosophy, large losses, and claim-handling shifts.

Reinsurance Renewal & Structure

• Own the data workstream for the annual renewal: in-force listings, premium/exposure, loss runs, large loss detail, and cat model output.
• Respond to reinsurer questions and data calls, working with brokers, underwriting, claims, and finance.
• Evaluate alternative structures (quota share, per-risk excess, aggregate, cat XOL) across attachments, limits, and cede percentages.

Cause of Loss & Trend Studies

• Run cause-of-loss studies (water, theft, wind/hail, BI, auto physical damage) to identify frequency and severity drivers.
• Quantify effects of inflation, weather, legal environment, social inflation, and repair/medical costs.
• Translate findings into action on underwriting, coverage forms, deductibles, and rating plans.

Reporting & Ad-Hoc Analysis

• Maintain recurring reports on loss/combined ratios, production, retention, rate change, and profitability by program, state, agent, and class.
• Respond to ad-hoc leadership requests with accurate, documented answers.

Communication & Implementation

• Present findings in plain, business-focused language and translate them into concrete recommendations on rate, tier, underwriting, reinsurance, and product.
• Partner with IT, underwriting, and product to implement rating changes—writing requirements, testing, and validating production.

• Effective performance of the essential functions of this position requires regular in-person, on-site interaction with colleagues, both for purposes of relationship building and meaningful collaboration

• Demonstrated production of rate or reserve indications from raw data through executive-ready deliverables.
• Hands-on experience with large policy, premium, and claims datasets.
• Exposure to reinsurance renewals, capital adequacy, and outside consulting actuaries preferred.
• Expert Excel (pivot tables, advanced formulas, exhibit workbooks for rate changes and reserving).
• Experience with a BI/visualization tool (Power BI, Tableau, or similar).
• P&C fundamentals: earned/written premium, loss development, IBNR, ALAE/ULAE, LDFs, loss/combined ratio, credibility, trend, and rate change.
• Standard ratemaking (loss ratio, pure premium, GLM) and reserving methods (chain-ladder, BF, expected loss ratio).
• U.S. state rate filing and SERFF (a plus).
• Reinsurance structures and how cessions affect net results, surplus, and volatility.
• Capital frameworks: NAIC RBC, AM Best’s BCAR, and economic capital.
• Proactive and self-directed; drives analyses to completion.
• Excellent communication; explains technical concepts clearly.
• Strong business acumen and intellectual curiosity.
• High integrity and attention to detail.

EDUCATION & EXPERIENCE

• 10+ years in data analysis, actuarial, or data science, with 5+ years supporting a P&C insurer, MGA, reinsurer, or consulting firm.
• Bachelor’s preferred in Mathematics, Statistics, Economics, Data Science, Computer Science, or related quantitative field.