Vice President Enterprise Risk Management

MSIG USA•Warren Township, NJ

1d•$160,000 - $190,000

About The Position

The Quantitative Enterprise Risk Manager plays a key role in advancing the company’s financial risk framework, with a primary focus on capital modeling, solvency assessment, and stress testing. Collaborating closely with experts in underwriting, actuarial, catastrophe modeling and investment management, the role supports enterprise-wide risk analysis, including reinsurance structures, reserve variability, and scenario development. The ideal candidate brings a strong actuarial or quantitative background and has hands-on experience with the Igloo capital modeling platform or similar capital modeling tools.

Requirements

Bachelor’s degree in Actuarial Science, Mathematics, Statistics, Finance, or a related field; ASA/FSA or equivalent credentials strongly preferred.
5+ years of experience in capital modeling, insurance financial risk management, or actuarial risk roles.
Proficiency in Igloo or similar capital modeling tools (e.g., Tyche, Remetrica).
Experience in regulatory stress testing (e.g., ORSA, AM Best, NAIC) and risk quantification.
Strong technical skills with Excel; knowledge of R, Python, or SQL is a plus.
Excellent analytical, communication, and presentation skills.

Responsibilities

Lead the company’s capital modeling and risk-adjusted return analytical processes.
Parametrize and maintain the company’s internal capital model using Igloo, ensuring it reflects current risk exposures across underwriting, reinsurance, investments, operations, and reserving. Product lines include Property, Traditional Casualty, Marine, Financial Lines, Political Risk & Credit, Surety and Cyber.
Perform ongoing capital adequacy analysis under regulatory and rating agency frameworks (e.g., AM Best, NAIC RBC, Solvency II).
Translate model outputs into actionable insights to support strategic and financial decision-making.
Develop new solutions and improvements to statistical models and processes
Maintain model documentation and controls in line with model governance standards.
Design and execute comprehensive stress tests and scenario analyses to assess net aggregations across various risk types and the impact of adverse events on capital, liquidity, and earnings.
Develop underwriting, investment, operational, and emerging risk scenarios for use in strategic planning and the Own Risk and Solvency Assessment (ORSA).
Collaborate with finance and actuarial teams to interpret and communicate scenario results to senior stakeholders.
Conduct risk-based evaluation of reinsurance structures, assessing effectiveness in capital relief and earnings protection.
Support reserve variability and tail risk analyses to enhance understanding of technical provisions and associated capital needs.
Produce clear and insightful risk reports for senior management, the Risk Committee, and regulatory audiences.
Contribute to the enhancement of the Risk Appetite Framework and overall Enterprise Risk Management (ERM) strategy.
Ensure capital model integration into broader ERM activities and risk-based decision processes.