Junior Actuarial Consultant – Analytics Solutions

15 ago - Milano
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Job ID: R_355755Company: Marsh McLennanLocation: Bodio Center, Bodio 1, Viale Bodio, 33, 20158 Milan MI, ItalyJob Type: Intern (Fixed Term) (Trainee)Category: Customer ServicesIndustry: Real EstateSalary: 28650Posted Date: 2026-07-13Are you a recent graduate looking to kickstart your career in risk management consulting?We are seeking a talented individual to join our Analytics Solutions team at Risk Consulting through our Professional Graduate Programme.

Tutti i potenziali candidati sono invitati a leggere con attenzione i seguenti dettagli prima di inviare la propria candidatura.

This role will be based in Milan for a hybrid role.Risk Consulting is a management consulting firm that provides risk management services as part of Marsh Risk, a leader in insurance brokerage and head of the international Marsh Group, a group of expertise in strategic and management consulting, reinsurance, human capital, and investments (Oliver Wyman, Guy Carpenter,



Mercer).The Analytics Solutions practice can support clients in assessing risk exposure through deterministic and probabilistic/actuarial approaches.

Starting from a dataset on the phenomenon of interest, it is possible to estimate the underlying probability distribution and understand the economic impacts with associated confidence intervals.

The practice also offers solutions for risk financing and management, as well as actuarial methodological approaches for capital management.We will count on you to:Data analysis: Use statistical and analytical tools to explore and interpret data, identifying significant trends and patterns.Estimation of probability distributions: Apply advanced statistical models to estimate the probability distributions associated with risk variables, contributing to a detailed assessment.Evaluation of insurance programs: Analyze the effectiveness of existing insurance programs and develop recommendations to maximize client value.Analyze Solvency II capital requirements using the Standard Formula

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