Actuarial Analyst at Lockton Companies - UAE

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

01 Jun, 26

Salary

0.0

Posted On

03 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Actuarial Analysis, Client Service, Data Analysis, Communication, Organizational Skills, Time Management, Interpersonal Skills, Microsoft Office, Excel, Intellectual Curiosity, Initiative, SOA Exam Passing

Industry

Insurance

Description

About Lockton & the Northeast Series Lockton Northeast spans metropolitan areas including Washington DC, Philadelphia, New York City, Hartford, Norwalk, Boston, and Portland, ME. Known for our unmatched work ethic and commitment to going above and beyond for clients, the Northeast Series continues to experience strong double-digit organic growth. Lockton combines the deep resources of a global organization with the agility of a boutique firm—empowering individuals at all levels to do what’s best for clients. As an Associate at Lockton, you’ll have control over your own career trajectory and the opportunity to make a meaningful impact on your clients, community, and colleagues. We believe in showing up as our authentic selves and are deeply committed to diversity, equity, and inclusion at all levels. Lockton is committed to advancing diversity, inclusion, and community involvement. We empower our people through a dynamic, entrepreneurial culture and provide a competitive total rewards package, ongoing education and development, and significant growth potential within a rapidly expanding organization. We offer a flexible, hybrid work environment that allows Associates to split their time between in-person collaboration and remote work. Position Overview The Actuarial Analyst is an entry-level role within Lockton Northeast, ideal for recent graduates or professionals with 1–2 years of relevant experience. This role supports the Account Actuarial team by delivering high-quality analysis, client service, and operational support. Core Responsibilities & Expectations Actively participate in internal and external meetings. Take accountability for all assigned tasks. Complete Lockton’s Career Foundations Program (CFP) within 2 years. Demonstrate strong written and verbal communication skills Actuarial & Client Support Respond to inquiries from the Core Service Team and clients. Provide client service aligned with Lockton Northeast standards. Support preparation and delivery of client-facing financial results. Perform calculations and data analysis for routine actuarial deliverables. Resolve inconsistencies in model outputs. Success Profile Regularly seek and apply feedback. Take clear and concise meeting notes. Demonstrate enthusiasm and professionalism. Display strong interpersonal skills. Thrive in a fast-paced environment with multiple priorities. Manage time effectively and independently. Exhibit intellectual curiosity and a desire to learn. Take initiative and proactively pursue new assignments. Participate fully in training and development opportunities. Pursue technical and analytical excellence. Bachelor’s degree in Actuarial Science, Statistics, Mathematics, or a related quantitative field (preferred). Minimum of one Society of Actuaries (SOA) exam passed. Strong organizational skills with the ability to meet deadlines. Excellent written and verbal communication skills. Ability to maintain confidentiality. Willingness to work beyond standard hours when necessary. Proficiency in Microsoft Office, especially Excel. Must be legally authorized to work in the United States and not require sponsorship for this position, now or in the future.

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Responsibilities

The Actuarial Analyst supports the Account Actuarial team by delivering high-quality analysis, client service, and operational support, which includes actively participating in meetings and taking accountability for assigned tasks. Core duties involve responding to inquiries, supporting the preparation of client-facing financial results, performing routine actuarial calculations and data analysis, and resolving model output inconsistencies.