Risk Modeller - Zurich, Zurich

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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 s ...

Jobbeschreibung

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.

Short Description

We are looking for a Risk Modeller to join our team temporarily to cover for our Risk Modeller who will be on maternity leave. The employment will be on a fixed-term basis for a period of 12-14 months and will be administered via a payroll agency.

We are looking for a motivated and detail‑ oriented Risk Modeller to support the development and maintenance of SCOR's Life & Health (L&H) 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.

Responsibilities

Enhance and maintain SCOR's Internal Model methodology with a focus on L&H risks and dependencies to other risks.
Contribute to the annual L&H calibration cycle, including data work and parameter reviews.
Perform model change impact assessments, update documentation and participate in ongoing cross functional projects.
Develop and maintain Python code for the Internal Model to ensure accurate, reliable, and computationally efficient applications.
Analyze and visualize model results for internal stakeholders.
Collaborate with colleagues in Risk Modelling, other Risk teams, Business Units, and IT across Paris, Dublin, Zurich and Cologne.

Required experience & competencies

1+ years' experience in risk modelling or actuarial.
Solid programming skills, ideally Python.
Knowledge of Solvency II, Swiss Solvency Test or IFRS17 is an advantage.
Solid quantitative background in mathematics, statistics, or actuarial science.
Analytical mindset, proactive attitude, and strong communication skills.
Ability to work effectively in an international, multidisciplinary team.

Required Education

University degree in mathematics/physics, actuarial science, engineering, computer science or other discipline with a strong quantitative background.