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Quantitative Risk Modeling Lead
Ryan SpecialtyVP of Quantitative Risk Modeling at Ryan Specialty leveraging actuarial expertise in credit insurance processes. Leading model development and implementing innovative analytical methods.
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- 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
- Compile and process historical data, perform sophisticated data analysis using AI/ML tools
- Develop and refine internal risk frameworks, actuarial methodologies, and reserving protocols for credit insurance
- Drive research initiatives to explore new modeling methodologies and techniques
Requirements
What you’ll need- Bachelor’s degree required
- Actuarial credentials (ASA, FSA) or advanced quantitative degree strongly preferred
- 10+ years of experience in quantitative underwriting roles
- 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; programming/statistical tools (SQL, R, Python, SAS, etc.) a plus
Benefits
Comp & perks- Paid time off for company holidays
- Vacation
- Sick and personal days
- Paid parental leave
- Mental health services and more
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
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Hard Skills & Tools
actuarial methodsquantitative methodscredit risk modelingdata analysisactuarial/statistical techniquesreserving protocolsrisk-based capitalcredit underwriting practicesAI/ML toolsquantitative underwriting
Certifications
ASAFSA