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Risk Modeller at SCOR

Zurich, Zurich, Switzerland -

Full Time

Start Date

Immediate

Expiry Date

03 Aug, 26

Salary

0.0

Posted On

05 May, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Risk Modelling, Python, Quantitative Analysis, Solvency II, Software Development, Version Control, Debugging, Testing, Actuarial Science, Analytical Thinking, Communication, Time Management

Industry

Insurance

Description

We are looking for a motivated and proactive Risk Modeller to support the development and maintenance of SCOR’s Property & Casualty (P&C) components of the Internal Capital Model. You will work on methodological improvements, Python‑based model development, and quantitative analysis used for Solvency II and Risk Management. As a leading global reinsurer, SCOR offers its clients a diversified and innovative range of reinsurance and insurance solutions and services to control and manage risk. Applying “The Art & Science of Risk,” SCOR uses its industry-recognized expertise and cutting-edge financial solutions to serve its clients and contribute to the welfare and resilience of society in around 160 countries worldwide. Working at SCOR means engaging with some of the best minds in the industry – actuaries, data scientists, underwriters, risk modelers, engineers, and many others – as we work together to find solutions to pressing challenges facing societies. As an international company, our common culture is defined by “The SCOR Way.” Serving both to build momentum that drives the Group forward and as a compass to guide our actions and choices, The SCOR Way is anchored by five core values, reflecting the input of employees at all levels of the Group. We care about clients, people, and societies. We perform with integrity. We act with courage. We encourage open minds. And we thrive through collaboration. SCOR supports inclusion and the diversity of talents, and all positions are open to people with disabilities.

Responsibilities

Support the development and maintenance of Property & Casualty components of the Internal Capital Model. Focus on methodological improvements, Python-based model development, and quantitative analysis for Solvency II and Risk Management.