Senior Reserving Analyst

MS Reinsurance • New York, NY

2d

About The Position

About MS Reinsurance MS Reinsurance is a global reinsurer domiciled in Switzerland with underwriting offices in Zurich, Bermuda, Miami, and New York. The Company underwrites non-life treaty reinsurance solutions on a worldwide basis through its three business units: Americas, International, and Specialty Lines. As part of the world-leading insurance group MS&AD, MS Reinsurance combines reliability and agility to make its clients’ businesses stronger. With a drive to move quickly and a commitment to long term partnership, MS Reinsurance supports its partners with the momentum and stability they can build on. About the role Be part of an eight-person team where reserving insights directly influence underwriting strategy at a Swiss-regulated global reinsurer. You will lead deep-dive analyses, enhance our reserving processes, and communicate with senior stakeholders. The role will initially focus on US P&C, with opportunities to expand into other classes and regions over time.

Requirements

• 2 – 6 years of experience in a quantitative, preferably actuarial, field
• Strong technical and data-handling skills, programming skills (in particular Python and SQL) a plus
• Educational background in mathematics, natural science or any another quantitative discipline
• Numerate and analytical mind-set, good problem solver; strong aptitude for appropriately applying professional judgement
• Good communicator, keen to liaise with other functions providing valuable model input and/or receiving model output
• Excellent written skills
• Team spirit, collaborative attitude, work ethic, proactive

Responsibilities

• Play an important role in the quarterly reserving process, calculating reserves and preparing reports and management information for internal stakeholders.
• Support deep dives on complex classes, refining methods and assumptions.
• Automate and streamline workflows in Python and enhance existing Excel tools.
• Present results to Underwriting and Finance, turning technical findings into business decisions.
• Challenge data and assumptions with a curious mindset to sharpen accuracy and insight.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed