[ Description

The Global Risk Solutions (GRS) Capital & ERM group is seeking a highly motivated individual to join its Capital Modeling group. This individual will join a small team of capital modelers responsible for designing, developing, and implementing dynamic financial analysis solutions for the Global Risk Solutions organization. The team is responsible for parameterizing the GRS Capital Model and legal entity models, including coordinating with Finance, Pricing, and Reserving, fitting distributions, developing risk dependencies, and supporting capital allocation. The successful candidate will have strong analytical abilities, enjoy developing statistical models and processes, working with large data sets, and diving deep into drivers of line of business dynamics.

Global Risk Solutions is a leading provider of commercial, specialty insurance, and reinsurance products, delivering a wide array of innovative products, deep technical expertise, strong client engagement and market-leading performance worldwide. The product lines include workers' compensation, commercial multi-peril, surety bonds, crisis management, marine, terrorism, management liability, cyber liability, and energy.

Responsibilities

• Collaborate with other team members to achieve the following with the goal of progressively taking ownership of some deliverables.
• Regularly update capital model parameters and assumptions for multiple models
• Develop new solutions and improvements for statistical models and processes used to calculate these inputs
• Implement timely and practical solutions to complex problems
• Participate in collaborative projects with Finance, Reserving, Pricing, and Underwriting with the goal of better understanding the business and reflect that understanding in model parameters

Please note this posting is open to multiple locations or remote. Compensation will vary based on level of position, location, experience and education.

Qualifications

• Bachelor's degree or higher in Mathematics, Actuarial Science, Statistics, Finance, Economics, or similar required
• Minimum of 3-5 years Actuarial experience along with passing grade on a minimum of 5 Casualty Actuarial Exams required; ACAS preferred for Sr. Actuarial Analyst
• Minimum of 6-8 years modeling or data science related experience required for ERM Consultant (this is non-actuary role)
• Very strong analytical skills with solid understanding of core casualty actuarial methods, techniques, and standards
• Expert in MS Excel and experience coding; Experience working with Visual Basic for Applications (VBA) and Capital modeling software, R, and Python preferred
• Experience with stochastic financial modeling and forecasting preferred
• Comfort with solving new problems and generating ideas for improving existing processes

About Us

At Liberty Mutual, our purpose is to help people embrace today and confidently pursue tomorrow. That's why we provide an environment focused on openness, inclusion, trust and respect. Here, you'll discover our expansive range of roles, and a workplace where we aim to help turn your passion into a rewarding profession.

Liberty Mutual has proudly been recognized as a "Great Place to Work" by Great Place to Work® US for the past several years. We were also selected as one of the "100 Best Places to Work in IT" on IDG's Insider Pro and Computerworld's 2020 list. For many years running, we have been named by Forbes as one of America's Best Employers for Women and one of America's Best Employers for New Graduates as well as one of America's Best Employers for Diversity. To learn more about our commitment to diversity and inclusion please visit: https://jobs.libertymutualgroup.com/diversity-inclusion

We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits

Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law. ]