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.
Our people are our most valuable resource and core to our success. This is a fast-paced business environment, demanding a strong work ethic and a results-oriented approach. We offer competitive compensation and benefits, a comprehensive talent development program, and a reward system in which employees share in the success of the company. We are an engaged member of the communities in which we live and work and have a locally-led giving philosophy with generous employee matching program, global and local community grants and employee volunteerism.We seek diversity, create equity, and practice inclusion. Our people are at the heart of everything we do. We are an equal opportunity employer. We provide equal opportunity to all qualified individuals regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, marital status, pregnancy, disability, military status or other legally protected categories.
Skills Required
- University degree emphasizing mathematics, statistics, economics, finance, or a similar field
- Strong technical credential such as FIA, ACAS, FCAS, SAV, or similar; alternatively, an advanced degree in data science, mathematics, computer science, or another hard science
- 8+ years of relevant reinsurance or insurance experience as a data scientist, modeler, or property and casualty actuary
- Strong history of collaboration across technical and nontechnical teams
- Strong communication skills, including the ability to explain technical information to broad audiences
- Superior quantitative skills and willingness to question assumptions to validate results
- Reinsurance experience
What We Do
RenaissanceRe is one of the world’s leading reinsurance companies, consistently recognised for our innovation, technical excellence and creative problem-solving. Our clients are multi-national organizations and government entities who turn to us to help manage the risks of operating in a volatile and uncertain world, including climate change, natural hazards like wildfires and hurricanes, cyber threats and significant societal upheaval. We’re proud of our world-class reputation for exceptional performance and being a trusted partner, there for our clients when it matters most. Our corporate purpose is to protect communities and enable prosperity. When disaster strikes, the claims we pay help keep businesses open and communities rebuild. Ensuring that our technology ecosystem can anticipate and respond to unprecedented global change in the world order is an imperative. It is only through continuously seeking to innovate through transformative technology that we can deliver our strategic business priorities, aims, and objectives. RenaissanceRe’s name comes from our founders’ intention to create a renaissance in quantifying and managing risk. Our success depends on the unique way we combine information, experience and technology to empower our decisions. We have developed new and cutting-edge technologies since the day we started in 1993 and have long been recognized as pioneers and technical innovators; designing and engineering solutions to rapidly serve clients and help them dynamically manage their business
