Quantitative Risk Modeling Lead

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee the application of actuarial and quantitative techniques in the underwriting of credit insurance transactions.

• Convert traditional insurance frameworks (such as reserving, NAIC capital requirements, and risk-based capital) into organized credit underwriting practices.

• Spearhead the creation and upkeep of stochastic risk models that encompass credit, real estate, and equity assets, applicable to both individual transactions and the overall portfolio.

• Direct the development of models that integrate inputs from stochastic asset models while overlaying asset and product structures, including subordinated tranches and LTV triggers, to compute insurance premiums and losses.

• Manage comprehensive analysis efforts to establish and define assumptions and model calibration targets for credit risks; this includes identifying relevant data, analyzing data with AI/ML tools, building and refining models through regression analysis and ML tools, and supervising implementation and production.

• Accountable for model risk management related to the models created and maintained.

• Assess insurance company balance sheets, reserving practices, and capital adequacy during counterparty evaluations.

• Create and enhance internal risk frameworks, actuarial methodologies, and reserving protocols for credit insurance.

• Lead research initiatives to investigate new modeling methodologies and techniques while keeping up with industry advancements.

• Offer thought leadership in the realms of statistical modeling, stress testing, and portfolio-level analytics.

• Collaborate with underwriters, senior management, and insurance partners to ensure that actuarial standards align with credit risk methodologies.

• Direct ad-hoc analytics projects to meet specific business needs and challenges.

• Undertake additional responsibilities as assigned, contributing to the overall success of the risk modeling team.

⛳️ Requirements

• A Bachelor’s degree is required; actuarial credentials (ASA, FSA) or an advanced quantitative degree is highly preferred.

• Over 10 years of experience in quantitative underwriting roles; actuarial and insurance analytics experience is an advantage.

• Profound knowledge of insurance company balance sheets, reserving practices, and NAIC implications.

• Proven expertise in actuarial/statistical techniques and stochastic modeling, particularly in their application to financial or credit markets.

• Strong technical skills in Excel; knowledge of programming/statistical tools (like SQL, R, Python, SAS, etc.) is a plus.

• Exceptional analytical and problem-solving abilities, with a knack for developing frameworks from scratch.

• Strong communication and leadership skills, with the capacity to work collaboratively across actuarial, underwriting, and credit teams.

• Motivated self-starter capable of working autonomously.

• Able to handle pressure effectively and manage 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