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Quantitative Risk Modeling Lead

Ryan Specialty Group

Chicago, Illinois

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JOB DETAILS
SKILLS
Actuarial Skills, Analysis Skills, Artificial Intelligence (AI), Balance Sheet, Cisco ASA (Adaptive Security Appliance), Communication Skills, Credit Insurance, Credit Risk, Cross-Functional, Data Analysis, Data Processing, Develop Methodologies, Entrepreneurship, Flexible Spending Accounts, Insurance, Insurance Underwriting, Investment Management, Leadership, Multitasking, Performance Analysis, Portfolio Analysis, Problem Solving Skills, Production Control, Project/Program Management, Python Programming/Scripting Language, R Programming Language, Risk, Risk Analysis, Risk Management, Risk Modeling, SQL (Structured Query Language), Statistical Analysis System (SAS), Statistical Modeling, Statistical Programming Languages, Stress Testing, Team Player, Thought Leadership, Underwriting
LOCATION
Chicago, Illinois
POSTED
1 day ago
Position Summary
As a VP, Quantitative Risk Modeling in the Ryan Alternative Risk department at Ryan Specialty, you will leverage your actuarial and quantitative expertise to shape the underwriting framework of complex credit insurance transactions. This role is designed for an experienced professional who can lead the development and implementation of advanced quantitative models, oversee and guide analysts, review work performed by analysts, manage multiple projects effectively, and has a strong familiarity with insurance company balance sheets, reserving protocols, NAIC capital implications, and statistical approaches to risk assessment.

You will be responsible for translating traditional insurance methodologies into innovative approaches for the credit insurance market-helping to align actuarial rigor with transaction-level underwriting and portfolio risk management. The ideal candidate combines technical expertise with the ability to influence underwriting practices, contribute to methodology development, and provide leadership across cross-functional teams.

Ryan Credit Solutions employs a research-driven, team-oriented, and results-focused approach to creating innovative solutions for institutional investors. We operate in a fast-paced, entrepreneurial environment where intellectual curiosity, technical precision, and collaborative problem-solving are highly valued.

What will your job entail?

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.
  • Model Development: 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.
  • Advanced Model Building: 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.
  • 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.
  • Other Duties: Perform additional duties as assigned, contributing to the overall success of the risk modeling team.
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 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.

Ryan Specialty is an Equal Opportunity Employer. We are committed to building and sustaining a diverse workforce throughout the organization. Our vision is an inclusive and equitable workplace where all employees are valued for and evaluated on their performance and contributions. Differences in race, creed, color, religious beliefs, physical or mental capabilities, gender identity or expression, sexual orientation, and many other characteristics bring together varied perspectives and add value to the service we provide our clients, trading partners, and communities. This policy extends to all aspects of our employment practices, including but not limited to, recruiting, hiring, discipline, firing, promoting, transferring, compensation, benef

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Ryan Specialty Group

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