Quantitative Risk Modeling Lead

Job not on LinkedIn

🕒 June 4

🇺🇸 United States – Remote

💵 $320k - $400k / year

⏰ Full Time

🟠 Senior

🎲 Risk

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

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 (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.

🎯 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.

🏖️ Benefits

• Paid time off for company holidays • Vacation days • Sick and personal days • Paid parental leave • Mental health services and more