Quantitative Risk Modeling Lead
About The Position
As a VP, Quantitative Risk Modeling in the Ryan Alternative Risk department at Ryan Specialty, you will leverage your actuarial and quantitative expertise to shape the underwriting framework of complex credit insurance transactions. This role is designed for an experienced professional who can lead the development and implementation of advanced quantitative models, oversee and guide analysts, review work performed by analysts, manage multiple projects effectively, and has a strong familiarity with insurance company balance sheets, reserving protocols, NAIC capital implications, and statistical approaches to risk assessment. You will be responsible for translating traditional insurance methodologies into innovative approaches for the credit insurance market—helping to align actuarial rigor with transaction-level underwriting and portfolio risk management. The ideal candidate combines technical expertise with the ability to influence underwriting practices, contribute to methodology development, and provide leadership across cross-functional teams. Ryan Credit Solutions employs a research-driven, team-oriented, and results-focused approach to creating innovative solutions for institutional investors. We operate in a fast-paced, entrepreneurial environment where intellectual curiosity, technical precision, and collaborative problem-solving are highly valued.
Requirements
- Bachelor’s degree required
- 10+ years of experience in quantitative underwriting roles, actuarial and insurance analytics a plus.
- Deep familiarity with insurance company balance sheets, reserving protocols, and NAIC implications.
- Demonstrated expertise in actuarial/statistical techniques and their application to financial or credit markets.
- Strong technical proficiency in Excel
- Excellent analytical and problem-solving skills, with the ability to create frameworks from the ground up.
- Strong communication and leadership skills, capable of working across actuarial, underwriting, and credit teams.
- Driven self-starter and capable of working independently.
- Handles pressure well and capable of managing multiple tasks and projects simultaneously.
Nice To Haves
- actuarial credentials (ASA, FSA) or advanced quantitative degree strongly preferred
- programming/statistical tools (SQL, R, Python, SAS, etc.) a plus
Responsibilities
- Lead the application of actuarial and quantitative methods to the underwriting of credit insurance transactions.
- Translate traditional insurance frameworks (reserving, NAIC capital considerations, risk-based capital) into structured credit underwriting practices.
- Lead the creation and enhancement of complex quantitative models for credit risk and in-market products.
- Evaluate insurance company balance sheets, reserving practices, and capital adequacy in counterparty assessments.
- Compile and process historical data, perform sophisticated data analysis using AI/ML tools, build and refine models using regression analysis and ML tools, and oversee implementation and production.
- Develop and refine internal risk frameworks, actuarial methodologies, and reserving protocols for credit insurance.
- Drive research initiatives to explore new modeling methodologies and techniques, staying abreast of industry advancements.
- Provide thought leadership in the use of statistical modeling, stress testing, and portfolio-level analytics.
- Collaborate with underwriters, senior management, and insurance partners to ensure alignment of actuarial standards with credit risk methodologies.
- Lead ad-hoc analytics projects to address specific business needs and challenges.
- Perform additional duties as assigned, contributing to the overall success of the risk modeling team.
Benefits
- paid time off for company holidays, vacation, sick and personal days
- paid parental leave
- mental health services
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What This Job Offers
Job Type
Full-time
Career Level
Executive
