Junior Actuarial Consultant – Analytics Solutions

Marsh Risk

Milano

Ibrido

EUR 25.000 - 31.000

Tempo pieno

6 giorni fa
Candidati tra i primi

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Vantaggi offerti da questo lavoro

6-month internship
Apprenticeship contract with starting
Insurance coverages
Supplementary pension plan
Flexible benefits
Stock purchase plan

Descrizione del lavoro

Marsh Risk is offering a Professional Graduate Programme in Milan within the Analytics Solutions team. The role blends risk management consulting with hands-on data analysis and dashboard development in a hybrid work setup.

The program targets graduates in Actuarial Science with strong stats, programming in R/Python, and Power BI skills, complemented by fluency in Italian and English.

Competenze

  • University Master Degree in Actuarial Science.
  • Fluency in Italian and English.
  • Advanced Excel and PowerPoint skills.
  • Knowledge of probability distributions and Solvency II concepts.
  • Programming in R and Python for statistical analyses.

Mansioni

  • Data analysis using statistical tools to identify trends.
  • Estimate probability distributions for risk variables.
  • Evaluate existing insurance programs and provide recommendations.
  • Analyze Solvency II capital requirements using Standard Formula.
  • Develop interactive dashboards for real-time data visualization.
  • Collaborate with cross-functional teams on project needs.

Conoscenze

Excel
PowerPoint
R
Python
Power BI
Italian language
English language

Formazione

Master degree in Actuarial Science

Strumenti

Power BI

Descrizione del lavoro

Are 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. 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 approach.
  • Development of interactive tools for dynamic real-time data visualization, such as creating customizable dashboards designed to support decisions based on data insights.
  • Cross-functional collaboration: Work closely with other teams to understand project needs and adapt analyses accordingly.
What you need to have:
  • University Master Degree in Actuarial Science
  • Language skills: Fluency in Italian and English
  • IT skills: Advanced skills in using main IT tools, especially the Microsoft Office Package (Excel and PowerPoint)
  • Advance knowledge of probability distributions used for implementing aggregate loss distributions, e.g: Poisson, Negative Binomial, Lognormal, Gaussian, etc.
  • Strong understanding of Solvency II Standard Formula capital calculations and regulatory requirements.
  • Intermediate knowledge of the main programming languages used in statistics: R, Python
  • Intermediate knowledge of dashboard creation tools, e.g., Power BI
What makes you stand out:
  • Analytical mindset
  • Self-motivation
  • Goal-orientation
  • Team-oriented attitude
  • Curiosity and willingness to take on new topics
  • Extracurricular activities
Why join our team:
  • Accelerated growth: Experience a journey of growth and acceleration through our comprehensive training program, combining technical and theoretical training with hands-on experience. Benefit from guidance provided by a Tutor, Mentor, and Buddy to ensure a supportive learning environment.
  • Strategic vision: Gain a deep understanding of Marsh Risk's organizational structure and strategic vision during our comprehensive induction training. Meet Senior Leaders and their Teams, providing valuable networking opportunities.
  • Unlock your potential: Nurture your talents and receive high-quality training.
What we offer:
  • Tailored career progression: The programme starts with a 6-month internship. At the end of the 6-month internship, based on the tutors' evaluation, the internship can proceed through an apprenticeship contract offering a starting gross annual salary of €28.000. The National Collective Bargaining Agreement (NCBA) applied is 'Terziario, Distribuzione e Servizi’.
  • Additional attractive benefits offered with the apprenticeship contract: insurance coverages, supplementary pension plan, facultative health assistance, flexible benefits, optional stock purchase plan. Further details will be shared during the selection process.

Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow us on LinkedIn and X.

Marsh is committed to creating a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, 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 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 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.

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