Group 1001 is a consumer-centric, technology-driven family of insurance companies on a mission to deliver outstanding value and operational performance by combining financial strength and stability with deep insurance expertise and a can-do culture. Group1001’s culture emphasizes the importance of collaboration, communication, core business focus, risk management, and striving for outcomes. This goal extends to how we hire and onboard our most valuable assets – our employees.
RVI Group is a growing company focused on a broad portfolio of specialty insurance products, reinsurance, financial solutions, and analytical services based in Stamford, Connecticut. We are seeking a Actuarial Analytics Lead to grow our property & casualty reserving and pricing.
Why This Role Matters:
Build the models and the data behind them, and see your work drive real decisions.
Have you grown your career in P&C reserving or pricing and want to own more of the picture? You'll build our insurance and reinsurance data platform end to end. Then you'll use it to develop the reserving, pricing, capital and accumulation models that shape our reinsurance strategy, growth and risk appetite. You'll present directly to the leaders who act on them.
You'll write the code, validate the numbers and stand behind the results. In return you get real ownership: your platform, your methods, your name on the work. You'll partner with Risk Management, our Guarantee business and our Reinsurance business. This is an entrepreneurial role and over time have the opportunity to build and lead a team.
You bring your experience with loss triangles, development and credibility methods, frequency/severity modeling, treaty structures and accumulation analysis and we'll teach you our speciality lines, including residual value insurance and guarantee products.
How You'll Contribute:
Actuarial and Quantitative Analysis:
Produce Portfolio Surveillance, Loss Model, Mark to Market and Capital Adequacy reports.
Manage loss reserving analysis and methodology across the reinsurance and RVI portfolios.
Build and maintain Capital Charge Models for all lines of business and the whole company.
Develop scorecards to manage concentration and accumulation risks for the whole company.
Provide independent actuarial peer review on reinsurance transactions.
Reinsurance Data Pipeline and Data Science:
Design, build and own the end-to-end reinsurance data pipeline, covering submission and exposure data from cedent, broker, MGA and fronting partners.
Develop and maintain the reinsurance and treaty database, together with the data structures supporting loss reserving methodologies.
Ensure model inputs are auditable and defensible for auditors, rating agencies and regulators.
Apply statistical and machine learning techniques to insurance data, including claims frequency and severity modeling, fraud and leakage detection, portfolio segmentation and predictive underwriting triage.
Perform exploratory analysis on new lines of business where credible internal data is thin and design the data capture required to build that credibility over time.
Collaboration and Presentation:
Support all new business development for US and international markets, including market research across North American and other developed markets.
Provide any requested quantitative analysis and information for various business lines and corporate initiatives.
What We're Looking For:
Demonstrated experience building or substantially rebuilding a data pipeline or analytical data platform, rather than solely consuming one.
5-7 years’ experience in an analytical position, in P&C insurance or reinsurance.
CAS exam progress or ACAS/FCAS designation
Ability to conduct in-depth research on business issues and effectively communicate findings in verbal or written format efficiently.
Strong interpersonal, leadership and collaboration skills.
Strong intellectual curiosity with the ability and drive to learn new subjects, tasks and skills quickly;…