VP, Actuary - Risk Analytics

RenaissanceRe•New York, NY

2d•$200,000 - $220,000

About The Position

RenaissanceRe is hiring a VP, Risk Analytics to lead key projects and project teams within its enhanced analytics team. The role uses advanced techniques beyond traditional actuarial methods to improve understanding of the business and trends, particularly outside of natural catastrophe risks. The VP will drive key NNPRI projects, overseeing the development and deployment of advanced statistical models and machine-learning algorithms using new and existing data sources in the Casualty and Specialty space. The role covers the full analytical project lifecycle: generating ideas based on business understanding, designing projects to support data-driven conclusions, partnering with Data Engineers and Data Scientists to build models, validating results using actuarial and business judgment, aligning with stakeholders, and supporting model adoption and ongoing updates in underwriting. The position collaborates across the organization and with external data providers, communicates complex analytical findings clearly, and fosters innovation and continuous learning across the Actuarial Team. It may also support Pricing during peak periods.

Requirements

University degree emphasizing mathematics, statistics, economics, finance, or a similar field.
A strong technical credential: attained status of FIA, ACAS, FCAS, SAV, or similar; alternatively, an advanced degree in a hard science such as Data Science, Mathematics, or Computer Science.
At least 8 years of relevant (re)insurance experience as a data scientist, modeler, or P&C actuary.
Strong history of collaboration across technical and nontechnical teams.
Strong communication skills, including the ability to explain technical information effectively to diverse audiences.
Superior quantitative skills, intellectual curiosity, and willingness to question underlying assumptions to ensure results are sound.
Strong work ethic and a focused, detailed, and results-oriented approach in a fast-paced business environment.

Nice To Haves

Reinsurance experience.

Responsibilities

Lead key projects and project teams within the enhanced analytics team.
Drive delivery of key NNPRI projects, including development and deployment of advanced statistical models and machine-learning algorithms using new and existing data sources in the Casualty and Specialty space.
Support Pricing during peak periods.
Generate analytical project ideas based on business understanding.
Design projects to enable data-driven conclusions.
Work with Data Engineers and Data Scientists on model development.
Validate and sense-check model results using actuarial and business understanding.
Work with Underwriting and other stakeholders to secure buy-in for models and analysis.
Integrate models and new data sources into the underwriting process and provide regular updates.
Collaborate with Data Scientists, Data Engineers, Underwriters, Claims, Legal, and other teams.
Communicate complex analytical concepts and results clearly and actionably to stakeholders.
Work directly with external data providers.
Encourage continuous learning and experimentation and share learnings across the Actuarial Team.