Marsh is seeking candidates for the following position in New York

Actuarial Data Science Associate

What can you expect?

As a member of the Data Science team within Marsh Advisory, you develop and maintain quantitative models and statistical analyses for property and casualty risk evaluation and mitigation. Marsh Advisory helps companies change their risk profiles so they can improve resiliency, reduce claims and minimize the total cost of risk. Businesses today regularly tackle multiple challenges, whether facing property, casualty, cyber, reputational or other risks, Marsh Advisory can help.

You will help improve and adapt existing essential models and processes to create innovative solutions and delivery to drive deep engagement with clients and colleagues while finding new insights in data and modeling.

What is in it for you?

• Opportunities to take risks, innovate and disrupt.  Marsh is agile and resilient – our goal is to invest in you by training on soft and technical skills to prepare you for opportunities in different areas of our business.
• A company with an exceptional, global brand and proven results to match
• Culture of internal mobility, collaboration and valued partnerships
• Employee Resource Groups which provide access to leaders, relevant volunteer and mentoring opportunities and interactions with diverse counterparts in industry groups and client organizations.
• Competitive pay (salary and performance based bonus potential), full benefits package – starting day one (medical, dental, vision, STI/LTI, life insurance, generous 401k match AND contribution.)
• Flexible work opportunities for work/life balance Generous Parental Leave and Tuition Reimbursement plan and participation in our Employee Stock Purchase Plan

What you need to have:

• Bachelor’s Degree in Math, Statistics, Actuarial Science, Data Science or related field
• Actuarial experience in workers’ compensation and liability domains with an understanding of property and casualty actuarial techniques and their practical applications.
• Understanding of loss sensitive programs, excess liability, claim data, industry (NCCI, ISO) factors
• Statistical modeling knowledge, including familiarity with machine learning techniques
• Knowledge of modern programming languages such as Python and Python applications
• Microsoft Office skills

What makes you stand out:

• At least 2 actuarial exams passed and interest in pursuing designation from the Casualty Actuarial Society
• At least 1 year Actuarial work experience
• Superior detail orientation, excellent communication, and interpersonal skills

Marsh is the world’s leading insurance broker and risk adviser. With over 35,000 colleagues operating in more than 130 countries, Marsh serves commercial and individual clients with data driven risk solutions and advisory services. Marsh is a business of Marsh McLennan (NYSE: MMC), the leading global professional services firm in the areas of risk, strategy and people. With annual revenue approaching US $20 billion and 83,000 colleagues worldwide, MMC helps clients navigate an increasingly dynamic and complex environment through four market-leading businesses: Marsh, Guy Carpenter, Mercer, and Oliver Wyman. Follow Marsh on Twitter @MarshGlobal; LinkedIn; Facebook; and YouTube, or subscribe to BRINK.

Marsh McLennan and its Affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers.

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The applicable base salary range for this role is $48,420 to $105,400.

The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives.

We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs.

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