SCOR SE

www.scor.com

2 Jobs

4,301 Employees

About the Company

SCOR, one of the world's largest reinsurers, provides its clients with a diversified and innovative range of solutions to control and manage risk. Using its experience and expertise, “The Art & Science of Risk”, SCOR provides cutting-edge financial solutions, analytics tools and services in all areas related to risk – in Life & Health as well as in P&C.

The reinsurance industry is about combining technical expertise and experience with the developments of science. However many tools we use to conduct our activities (models, databases, pricing tools, reserving tools, and so on), we also need expert judgments and human experience to correctly underwrite. This is what we call the art of underwriting. Reinsurance is a knowledge industry. Expertise is an accumulation variable.

The most advanced tool will never replace the intuition of a seasoned underwriter facing a complex risk. Because at the end of the day, you have to make a decision, to sign, to underwrite. And what we have underwritten, we cannot overwrite - our word is our bond, as is our signature. This dimension of our business, linked to the art of underwriting, is more important than some observers would have people believe.

One way to acquire this art is to share experiences – both good and bad – and to share doubts and questions. Artists always belong to a school, from which they learn their craft.

Like artists, we have to learn, imitate, mimic, and then innovate, in order to find our own style and create our own distinctive work.

Listed Jobs

Company Name: SCOR SE
Job Title: Suivi de Portefeuilles Private Markets Stagiaire
Job Description: **Job title** Private Markets Portfolio Tracking Intern **Role Summary** Assist in the selection, monitoring, and reporting of private equity, private debt, infrastructure, and real‑estate funds for SCOR Investment Partners. Provide analytical support for investment decisions and maintain accurate fund databases. **Expectations** * Deliver timely and accurate fund reports to stakeholders. * Demonstrate independence, rigor, and strong analytical judgment. * Communicate effectively in both French and English. **Key Responsibilities** - Track regular and occasional fund reporting data. - Update the global fund monitoring file with key performance and compliance information. - Collect, archive, and maintain all relevant fund documentation. - Contribute to the preparation of annual fund review presentations. - Participate in the due‑diligence process for potential fund investments. **Required Skills** - Advanced Excel skills (pivot tables, data analysis). - Strong analytical and quantitative capabilities. - Attention to detail and ability to work autonomously. - Proficiency in French and English (written and spoken). - Knowledge of investment fund structures and terminology. **Required Education & Certifications** - Currently enrolled in or completed a Master’s program in Finance, FinTech, or a related discipline from a recognized business school or university. - Relevant coursework: investment analysis, portfolio management, private markets, or financial reporting.

Paris, France

On site

10-09-2025

Company Name: SCOR SE
Job Title: Data Science Team Intern
Job Description: **Job Title** Data Science Team Intern **Role Summary** Short‑term internship (up to 6 months) focused on developing and prototyping advanced analytics solutions (ML/NLP) to support underwriting and claims processes within a global insurance context. **Expectations** - Deliver a proof‑of‑concept on a specified topic (e.g., survival modelling, model de‑biasing, information extraction, or image analysis). - Present findings and state‑of‑the‑art research to internal teams. - Transition prototypes into production‑ready scripts, applying good coding practices (Git, documentation, unit testing). **Key Responsibilities** - Research and author a technical report on chosen advanced analytics topic. - Design, implement, and validate a proof‑of‑concept model. - Collaborate with cross‑functional teammates to translate business requirements into data‑science solutions. - Contribute to the industrialisation of successful prototypes, ensuring reproducibility and maintainability. - Communicate results to stakeholders, tailoring technical details to non‑technical audiences. **Required Skills** - Strong programming proficiency in Python. - Solid grasp of supervised and unsupervised machine learning techniques. - Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) for NLP or computer vision is a plus. - Familiarity with Git, code documentation, and unit testing. - Excellent written communication in English; fluency in spoken English. **Required Education & Certifications** - Pursuing or recently completed a degree in Computer Science, Data Science, Actuarial Science, Statistics, or a related field. - Relevant coursework in machine learning, data analytics, or actuarial modeling. - No mandatory certifications, though knowledge of industry standards in data science or actuarial work can be advantageous.