Actuarial Consultant
Il y a 2 mois
Job Opportunity in Actuarial Services
At Optimind, a leading player in the actuarial consulting market, you will join a team of over 100 experts in the Actuarial and Financial Services practice.
As a trainee/alternant, you will support teams that work with Risk Management, Actuarial, or ALM departments of insurance companies on transformation projects. You will work on various topics and benefit from the guidance of our experts to complete a thesis or a final project that may focus on one of the following areas:
- Healthcare and pricing;
- Life Insurance and Loan Insurance;
- Insurance and Data Science;
- Prospective modeling;
- Data Science and Machine Learning;
- IFRS 17 - Modeling or Multinorms Management.
Your Career Path
By joining Optimind as part of your internship or alternance, you will have the opportunity to develop a set of skills and evolve in an agile environment with a strong start-up spirit, allowing you to develop the following dimensions: leadership, business, and expertise.
You will contribute to our cutting-edge thinking within our Expertise Centers and, through the various missions you will participate in, you will be able to strengthen your skills, acquire new ones, and progress within Optimind.
Required Profile
- You are currently a Master's student in Actuarial Science (M1 or M2);
- You are looking for a M1 internship followed by a M2 alternance in actuarial science, a two-year alternance, or a M2 final internship;
- You wish to work with experts in the insurance sector;
- You have excellent interpersonal and writing skills;
- You possess strong analytical and synthesis capabilities.
Optimind's Advantages
- A Happy@Work 2022 and handi-engaged company;
- Hard skills training via our Expertise Centers;
- A proximity-based management;
- Convivial moments (seminars, after-works, conferences, etc.) and remote work possible;
- A demanding RSE policy: Ecovadis labeling, United Nations Global Compact since 2010;
- The Optimind Foundation supports general interest projects, including the Risk Sciences Prize.
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