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Director of Data Analytics; P&C Insurance, Underwriting, Reinsurance

Job in New York, New York County, New York, 10261, USA
Listing for: Church Pension Group
Full Time position
Listed on 2026-09-15
Job specializations:
  • Insurance
    Underwriter, Insurance Analyst, Insurance Risk / Loss Control, Risk Manager/Analyst
Salary/Wage Range or Industry Benchmark: 150000 - 175000 USD Yearly USD 150000.00 175000.00 YEAR
Job Description & How to Apply Below

Description

Department:
Church Insurance

Job Type: Regular Full Time

Education Level: BA/BS or combination of education and experience

Required Years

Experience:

10

For more than 90 years, The Church Insurance Companies (CIC) has focused on providing The Episcopal Church with broad, cost-effective property and casualty coverage, as well as unique risk management strategies and tools. This team takes a disciplined, financially sustainable, and hands-on approach.

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.

ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned. 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 rate making 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
Qualifications
  • 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…
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