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AVP, ERM – Actuary or Data Scientist
Company : Nautilus Insurance Company
Location : Greenwich, CT, 06830
Job Type : Full Time / Part Time
Date Posted : 11 January 2026
Company Details
"Our Company provides a state of predictability which allows brokers and agents to act with confidence."
Founded in 1967, W. R. Berkley Corporation has grown from a small investment management firm into one of the largest commercial lines property and casualty insurers in the United States.Along the way, we’ve been listed on the New York Stock Exchange, become a Fortune 500 Company, joined the S&P 500, and seen our gross written premiums exceed $10 billion.Today the Berkley brand comprises more than 60+ businesses worldwide and is divided into two segments: Insurance and Reinsurance and Monoline Excess. Led by our Executive Chairman, founder and largest shareholder, William. R. Berkley and our President and Chief Executive Officer, W. Robert Berkley, Jr., W.R. Berkley Corporation is well-positioned to respond to opportunities for future growth.
The Company is an equal employment opportunity employer.
Responsibilities
*Please provide a one-page resume when applying.
Enterprise Risk Management (ERM) TeamOur key risk management aim is to maximize Berkley’s return on capital over the long term for an acceptable level of risk. This requires regular interaction with senior management both in corporate and our business units. The ERM team comprises ERM actuaries and catastrophe modelers responsible for identification, quantification and reporting on insurance, investment, credit and operational risks. The ERM team is a corporate function at Berkley’s headquarters in Greenwich, CT.
The RoleThe successful candidate will collaborate with other ERM team members on a variety of projects with a focus on exposure management and catastrophe modeling for casualty (re)insurance. The candidate is expected to demonstrate expertise in data and analytics and be capable of presenting data-driven insights to senior executives.
Key responsibilities include:
Casualty Accumulation and Catastrophe Modeling• Lead the continuous enhancement of the casualty data ETL process• Analyze and visualize casualty accumulations by insureds, lines and industries to generate actionable insight for business leaders• Collaborate with data engineers to resolve complex data challenges and implement scalable solutions• Support the development of casualty catastrophe scenarios by researching historical events and emerging risks• Model complex casualty reinsurance protections
Risk Process Automation and Group Reporting• Lead AI-driven initiatives aimed at automating key risk processes and projects• Contribute to Group-level ERM reports, including deliverables to senior executives, rating agencies and regulators
Qualifications
• Minimum of 7 years of experience in P&C (re)insurance, with a focus on casualty• Proficiency in R/Python and Excel• Strong verbal and written communication skills• Proven ability to manage multiple projects and meet deadlines in a dynamic environment
Education Requirement
• Minimum of Bachelor’s degree required (preferably in STEM)• ACAS/FCAS is a plus
Sponsorship Details
Sponsorship Offered for this RoleRelated Jobs
Greenwich, CT
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Frequently asked questions
Expertise in R and Python stands out as essential for this role, enabling complex data manipulation and catastrophe modeling. Mastery of these languages ensures effective analysis within enterprise risk management, aligning with Nautilus Insurance Company’s focus on data-driven decision-making in Greenwich, CT.
Unlike conventional actuarial roles, this position integrates catastrophe modeling with advanced data analytics and AI-driven risk automation. It emphasizes exposure management and collaboration with data engineers, reflecting a hybrid skillset blending actuarial science with data science methodologies.
Professionals in this role typically experience growth into senior ERM leadership or specialized catastrophe modeling expert positions. Greenwich’s insurance hub provides ample opportunities to engage with cutting-edge risk analytics, especially within established firms like Nautilus Insurance, bolstering long-term career prospects.
While a bachelor’s degree in STEM is standard, credentials such as ACAS or FCAS carry added weight locally. These certifications align with Greenwich’s competitive actuarial landscape, signaling advanced expertise in property and casualty insurance risk management.
Greenwich, CT, hosts a concentrated insurance industry with steady demand for ERM professionals skilled in casualty risk analytics. Competition is balanced by the need for candidates demonstrating both actuarial credentials and strong data science capabilities, especially at firms like Nautilus Insurance.
Nautilus Insurance emphasizes a collaborative ERM environment blending actuarial and catastrophe modeling expertise with AI innovation. Its integration into W.R. Berkley Corporation offers broader exposure to diverse insurance segments and a Fortune 500-backed culture fostering growth.
Yes, Nautilus Insurance offers sponsorship for this position, reflecting its commitment to attracting global talent. The company promotes continuous learning through project leadership opportunities in cutting-edge casualty risk modeling and enterprise risk management.
Based on industry standards in Greenwich’s property and casualty sector, salaries typically fall between $140,000 and $185,000 annually. This range accounts for the advanced actuarial expertise and data science skills required for this senior risk management role.
The company leads AI-driven initiatives to streamline risk assessment and reporting, enhancing accuracy in casualty accumulation modeling. This approach supports the ERM team’s mission to optimize capital returns while leveraging scalable, automated data solutions.
Daily responsibilities blend analyzing casualty exposures, refining ETL data processes, and collaborating with engineers on scalable solutions. Presenting actionable insights to senior executives and supporting catastrophe scenario development are also key, reflecting the role’s strategic impact.