VP, Actuary - Risk Analytics

RenaissanceRe Holdings Ltd.; New York (NY); On-site; USD 200,000 - 220,000; Full time

Job summary

RenaissanceRe Holdings Ltd. in New York City seeks a VP, Risk Analytics to lead projects in an enhanced analytics team, leveraging statistical models and machine learning to advance risk insights beyond traditional actuarial methods.

The role collaborates with Data Scientists, Underwriting, Claims and Legal to adopt data-driven approaches and drive improvements in pricing and underwriting processes. A strong technical credential and 8+ years of (re)insurance data science experience are required.

Qualifications

• 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

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.

Skills

Statistical modeling

Machine learning

Communication

Collaboration

Education

FIA/ACAS/FCAS or data science degree

Tools

Python

R

SQL

Job 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.

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.