Quantitative Reinsurance Analyst

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About Everest:

Position Overview:

As a Quantitative Reinsurance Analyst, you will serve as the analytical engine behind underwriting strategy. You’ll build predictive models, analyze portfolio risk, and uncover performance insights that guide strategic decision-making. You will prepare and engineer underwriting data—treaty, facultative, exposure, premium, and loss data—and power a web-based portfolio management tool that leaders rely on.

You’ll streamline data workflows, automate reporting processes, and enhance the organization’s analytics infrastructure. Your strong SQL, Python, and Databricks skills will help you design scalable pipelines, APIs, and stored procedures, while your predictive modeling expertise enables you to identify trends, outliers, and opportunities to enhance portfolio performance.

This is a hybrid position based in either our Warren, NJ or New York City office working 3 days onsite, 2 remote.

Responsibilities include but are not limited to:

1. Predictive Analytics & Portfolio Optimization (Primary Focus)

• Develop and apply predictive models to assess portfolio performance, risk metrics, and profitability.

• Conduct scenario analysis to support strategic decision-making and capital allocation.

• Identify trends, outliers, and opportunities for portfolio improvement using advanced analytics.

• Collaborate with underwriting leadership to translate insights into actionable strategies.

2. Data Engineering & Web Tool Support

• Prepare and structure underwriting data (treaty, facultative, exposure, premium, loss) for use in a web-based portfolio management tool.

• Design stored procedures, data pipelines, and APIs to support front-end development.

• Ensure data integrity, consistency, and usability across systems.

3. Process Improvement & Automation

• Evaluate and enhance existing data workflows and reporting processes.

• Automate data validation, cleansing, and transformation tasks.

• Support the development of scalable data infrastructure for underwriting strategies.

Qualifications:

• Certified Specialist in Predictive Analytics (CSPA) or similar analytics credentials preferred.

• 3-5 years of experience in reinsurance underwriting, actuarial analysis, catastrophe exposure modeling, or portfolio management analytics.

• Strong command of SQL, Python, Microsoft Fabric, Databricks, and stored procedures.

• Expertise in predictive modeling, machine learning, and statistical analysis.

• Experience with cloud platforms (preferred: Azure), API development, and data automation tools.

• Excellent communication skills with the ability to explain complex analytical concepts to non-technical stakeholders.

• Highly independent, resourceful, and capable of thriving in a fast-paced environment with rapid turnaround expectations.

• Strong attention to detail, problem-solving orientation, and a proactive “can-do” mindset.

#LI-KG1

#LI-Hybrid

The base salary range for this position is $120,000 - $150,000 annually. The offered rate of compensation will be based on individual education, experience, qualifications and work location. All offers include access to a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid time off (PTO).

What if I don’t meet every requirement? At Everest we are dedicated to building an inclusive and authentic workplace. So, if you are excited about this role but your past experience doesn’t align perfectly with every element in the job description, we still encourage you to apply. You may be just the right candidate for this or other roles. Please let us know if you need any accommodations throughout the application or interview process.

Our Culture

At Everest, our purpose is to provide the world with protection. We help clients and businesses thrive, fuel global economies, and create sustainable value for our colleagues, shareholders and the communities that we serve. We also pride ourselves on having a unique and inclusive culture which is driven by a unified set of values and behaviors.

• Our Values are the guiding principles that inform our decisions, actions and behaviors. They are an expression of our culture and an integral part of how we work: Talent. Thoughtful assumption of risk. Execution. Efficiency. Humility. Leadership. Collaboration. Inclusion and Belonging.
• Our Colleague Behaviors define how we operate and interact with each other no matter our location, level or function: Respect everyone. Pursue better. Lead by example. Own our outcomes. Win together.
  

All colleagues are held accountable to upholding and supporting our values and behaviors across the company. This includes day to day interactions with fellow colleagues, and the global communities we serve.

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Everest is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or creed, sex (including pregnancy), sexual orientation, gender identity or expression, national origin or ancestry, citizenship, genetics, physical or mental disability, age, marital status, civil union status, family or parental status, veteran status, or any other characteristic protected by law. As part of this commitment, Everest will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Everest Benefits at everestbenefits@everestglobal.com.

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