Quantitative Risk Modeling Lead
About The Position
As a Quantitative Risk Modeling Led in the Ryan Credit Solutions 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; actuarial credentials (ASA, FSA) or advanced quantitative degree strongly preferred.
- 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 stochastic modeling and their application to financial or credit markets.
- Strong technical proficiency in Excel; programming/statistical tools (SQL, R, Python, SAS, etc.) a plus.
- 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.
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 development and maintenance of stochastic risk models covering credit, real estate, and equity type assets that can be applied to individual transactions as well as overall portfolio.
- Lead the development of models that use inputs from stochastic asset models and super impose asset and product structures such as the presence of subordinated tranches, LTV triggers etc to calculate insurance premiums and losses
- Lead overall analysis efforts to derive and set assumptions and model calibration targets for credit risks; this will include identification of appropriate data, analysis of the data using AI/ML tools, building and refining models using regression analysis and ML tools, and oversee implementation and production.
- Responsible for model risk management for models built and maintained
- Evaluate insurance company balance sheets, reserving practices, and capital adequacy in counterparty assessments.
- 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
Senior
