Underwriting Data Analyst

Private Client Select Insurance Services (PCSIS), is an independent managing general underwriter (MGU) majority owned by Stone Point Capital. Private Client Select Insurance Services protects the lifestyles and legacies of the most successful individuals across the U.S by providing robust risk management solutions and comprehensive coverage to preserve high-value assets. We understand their passions and are committed to preserving the lifestyle they built.

PCS employs approximately 420 staff members. The company has offices in New York, NY;
Schaumburg, IL; and St. Petersburg, FL. PCS has a geographically diverse workforce and supports hybrid and remote business-based flexibility.

The Underwriting Data Analyst provides direct analytical support to the Underwriting organization, delivering insights that support operational efficiency, risk selection, and portfolio quality. This role partners closely with underwriting leadership and Field and Complex underwriting teams to develop data-driven strategies across all geographies and lines of business. The Analyst will ensure the Underwriting organization has the tools, data, and insights needed to drive profitable growth.

• Underwriting Efficiency
• Support the Field and Complex Account underwriting teams develop and track operational KPIs and SLAs at an underwriter and team level
• Analyze underwriting performance to identify growth drivers and opportunities for operational improvement
• Evaluate the impact of workflow improvements, appetite shifts, and other strategic changes
• Build and maintain executive, manager, and underwriter dashboards that reflect underwriter production and efficiency and promotes transparency of results
• Support initiatives related to workflow optimization, underwriting authority, and underwriting governance
• Risk Selection and Portfolio Management
• Partner with Home Office Underwriting to monitor adherence to Underwriting Guidelines and Underwriting Authority and share insights into exception activity
• Develop reporting of and track key metrics such as submission volume and quality, pipeline development, conversion rate, new business production, renewal retention, and loss results
• Ensure consistency across data sources used for underwriting performance, appetite decisions, and risk evaluation.
• Partner with actuarial and data science teams to interpret and operationalize predictive models for underwriting workflows.
• Support annual premium planning and annual objective development
• Compliance and Capacity Partner Relationships
• Provide data calls as necessary to comply with regulatory or capacity partner requests
• Support regulatory or capacity partner audit requests
• Prepare and present KPIs for capacity partner reporting related to underwriting results and operational targets
• Data Management
• Collaborate with Information Technology counterparts in creating and maintaining consistent data sources
• Ensure consistent metric definitions across business units working closely with Finance, Product, Actuarial, Underwriting, Risk Management, Sales & Distribution, and Portfolio Management

• Minimum of 2 years of insurance experience preferably in the personal lines marketplace and/or in roles working directly with underwriters or product managers.
• Experience in working with large data sets with strong SQL skills and proficiency with analytics tools such as Python, R, SAS, or similar.
• Experience building dashboards in visualization platforms with preference for Power BI skills
• Bachelor’s Degree in Data Management, Data Science, Mathematics, Actuarial Science, Economics, Finance, or related fields is preferred
• Strong problem-solving skills and attention to detail, especially when working with complex datasets.
• Ability to manage multiple priorities and work effectively in a fast-paced underwriting environment.
• Proven collaborative, operational, and project management skills
• Ability to communicate data-driven insights to non-technical staff
• Applicants must be legally authorized to work in the United States and must not require employment-based visa sponsorship now or in the future.

PCS values and is fully committed to diversity and inclusion. It is the policy of PCS not to discriminate against any applicant for employment, or any employee because of age, color, sex, disability, nation of origin, race, religion, sexual orientation, gender identity, or veteran status.