Quantitative Risk Modeling Lead

About the role

Ryan Specialty is a dynamic and fast-paced environment where innovation and collaboration drive our success. If you are a strategic thinker with a passion for driving results and fostering teamwork, we want to hear from you!

Key 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.
• Research: 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.
• Ad-Hoc Analytics: Lead ad-hoc analytics projects to address specific business needs and challenges.

Qualifications

• Education: Bachelor’s degree required; actuarial credentials (ASA, FSA) or advanced quantitative degree strongly preferred.
• Experience: 10+ years of experience in quantitative underwriting roles, actuarial and insurance analytics a plus.
• Knowledge, Ability, Skills: 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.

Benefits

The target salary range for this position is $320,000.00 - $400,000.00 annually. The wage range for this role considers many factors, such as training, transferable skills, work experience, licensure and certification, business needs, and market demands. The pay range is subject to change and may be modified in the future. Full-time roles are eligible for bonuses and benefits. For additional information on Ryan Specialty Total Rewards, visit our website here.