Quantitative Risk Modeling Lead

Job not on LinkedIn

🕒 June 4

🏄 California – Remote

🏄 California – Remote

💵 $320k - $400k / year

⏰ Full Time

🟠 Senior

🎲 Risk

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Ryan Specialty

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2010

💼 Consulting

🏗️ Construction

🏥 Healthcare

Consulting • Construction • Healthcare

Ryan Specialty is an international specialty insurance firm that provides innovative solutions for brokers, agents, and insurance carriers. The company offers a range of services including wholesale brokerage, binding authority, and underwriting management through highly specialized managing general underwriters. Ryan Specialty is a leader in the wholesale brokerage industry, providing expertise with local knowledge and national authority. The firm is committed to delivering distinct national specialty programs and bespoke alternative risk solutions, supporting its clients with comprehensive insurance services.

📋 Description

• Lead the application of actuarial and quantitative methods to the underwriting of credit insurance transactions • Translate traditional insurance frameworks into structured credit underwriting practices • Lead the development and maintenance of stochastic risk models covering credit, real estate, and equity type assets • Lead overall analysis efforts to derive and set assumptions and model calibration targets for credit risks • Responsible for model risk management • Develop and refine internal risk frameworks, actuarial methodologies, and reserving protocols for credit insurance • Drive research initiatives to explore new modeling methodologies and techniques • Collaborate with underwriters, senior management, and insurance partners

🎯 Requirements

• 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 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

🏖️ Benefits

• Paid time off for company holidays, vacation, sick and personal days • Paid parental leave • Mental health services