Lead Specialist - Catastrophe Risk Management

Company: Victor

Description:

We are seeking a talented individual to join our Knowledge Services team at Victor Insurance. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office.

Lead Specialist - Catastrophe Risk Management

We will count on you to:

Help grow and maintain a healthy book of business through risk selection and analysis, including:

• Preparing prospective accounts for the Underwriting team by:
  • Conducting account level reviews to identify hazards and potential loss producing exposures, allowing for more informed decisions to maximize profit and growth.
  • Evaluating exposures, identifying/requesting missing information, and recommending changes to optimize results
  • Scrubbing data, preforming data reconciliation, and running catastrophic analyses on complex account structures in AIR
  • Preparing the AOP rater with initial pricing
• Collaborating with the Product and Modeling teams on standards, guidelines, and technology
• Acting as a technical resource for the underwriting team
• Accurately completing monthly reporting enhancements and execution
• Providing modeling support for carrier acquisition and expansion

What you need to have:

• Degree in insurance, engineering, mathematics, or related fields.
• 3+ years of experience that incorporates the following areas:
  • Cat modeling expertise - specifically with AIR and other established industry models (RMS, etc.) tools on a regional or global basis across the major perils.
  • Strong technical skills with proficiency in MS Office including Excel and Access
  • Knowledge of pricing and rating methodology
  • High attention to detail, creativity, intellectual curiosity, strong time management skills, and a strategic mindset
  • Demonstrated ability to present, communicate, and deliver technical content to internal stakeholders and external clients on complex subject matter

What makes you stand out?

• 6+ years of modeling experience or relevant education
• Strong working knowledge of stochastic modeling, R, Python with proficiency in SQL and geospatial mapping tools like ArcGIS will be highly advantageous.
• Collaboration experience - working in multi-disciplinary teams of risk engineers, actuaries, catastrophe modelers.

Why join our team?

• You ll be empowered to change the way we do business by using your skillset to disrupt norms and implement solutions
• Culture of collaboration and valued relationships with internal and external partners
• We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities
• A clear career path with a hybrid of technical track and management track to grow in the company.

Marsh, a business of Marsh McLennan (NYSE: MMC), is the world s top insurance broker and risk advisor. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $23 billion and more than 85,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow on LinkedIn and X.

Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.

Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.