Quantitative Risk Modeling Lead

Ryan Specialty

VP, Quantitative Risk Modeling leading complex modeling and underwriting for credit insurance at Ryan Specialty. Experienced professional shaping methodologies and collaborating across teams in a fast-paced, results-focused environment.

Posted 5/22/2026full-timeRemote • Tennessee • 🇺🇸 United StatesSenior💰 $320,000 - $400,000 per yearWebsite

Tech Stack

Tools & technologies

PythonSQL

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.
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.
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.

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, 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; 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
Comprehensive and best-in-class benefits package

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

actuarial methodsquantitative methodscredit risk modelingdata analysisregression analysismachine learningstatistical techniquesfinancial modelingrisk-based capitalreserving protocols

Soft Skills

leadershipcollaborationresearchcommunicationproblem-solving

Certifications

ASAFSA