- Salary
- $200k – $220k
- Location
- New York, United States of America
- Type
- Full-time
- Seniority
- VP
- Experience
- 25+ years
- Source
- Workday
Description
RenaissanceRe is a leading writer of Property & Casualty Reinsurance. For over 25 years, we have helped customers and communities recover and build resilience through our industry-leading ability to understand risk, source efficient capital and rapidly pay claims.
Our global team shares a passion for solving our customers’ biggest problems through a collaborative and entrepreneurial culture that empowers employees and rewards creative thinking.
POSITION SUMMARY:
The VP, Risk Analytics will lead key projects and project teams within our enhanced analytics team. This role focuses on leveraging advanced techniques beyond traditional actuarial methods to enhance our understanding of the business and trends, particularly outside of NatCat risks.
PRINCIPAL ACCOUNTABILITIES / KEY RESPONSIBILITIES:
- Drive delivery on key NNPRI projects: oversee the development and deployment of advanced statistical models and machine learning algorithms, using new and existing data sources in the Cas/Spec space.
- Support Pricing in peak periods.
- Explore: Generate new analytical project ideas based on business understanding.
- Design: Set up projects to enable data-driven conclusions.
- Build: Work with Data Engineers and Data Scientists on model builds.
- Validation: Use actuarial and business understanding to sense-check model results.
- Share and Align: Work with Underwriting and other stakeholders to generate buy-in for models and analysis.
- Adoption: Follow through to integrate models and new data sources into the underwriting process, along with regular updates.
- Collaborate across the organization with Data Scientists, Data Engineers, Underwriters, Claims, Legal, and beyond.
- Communicate complex analytical concepts and results to stakeholders in a clear and actionable manner.
- Work directly with external data providers.
- Foster a culture of innovation by encouraging continuous learning and experimentation and by sharing learnings across the Actuarial Team.
QUALIFICATIONS AND EXPERIENCE:
- A university degree with emphasis on mathematics, statistics, economics, finance or a similar field
- A strong technical credential is required. Attained status of FIA, ACAS, FCAS, SAV or similar. Alternatively, an advanced degree in a hard science, such as Data Science/Mathematics/Computer science.
- 8+ years of relevant (re)insurance experience as a data scientist, modeler or P&C actuary.
- Reinsurance experience a plus.
- Strong history of collaboration across technical and nontechnical teams.
- Strong communication skills with the ability to effectively explain technical information to a wide range of audiences, including the broader actuarial function, underwriters, brokers, clients, and external vendors
- Superior quantitative skills, intellectually curious and willing to question underlying assumptions to ensure the results are sound
We are an equal opportunity employer. We provide equal opportunity to all applicants and employees regardless of race, colour, religion, national origin, age, sex, sexual orientation, gender identity, marital status, pregnancy, disability, military status or other legally protected categories.
This is a fast-paced business environment, demanding a strong work ethic and a focused, detailed, and results-oriented approach.
The full-time base salary range for this position is $200,000-$220,000 per year; base salary offered may vary based on job-related knowledge, skills, and experience. The position is eligible for bonus and a comprehensive benefits package. This information is provided per the New York City Human Rights Law and applies only to positions in New York City.