How do I apply for the Agriculture Reinsurance Risk Modeling Trainee position at SCOR and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

What are the working arrangements and expected duration for the Agriculture Reinsurance Risk Modeling Trainee role?

This position is a full-time, structured as a hybrid role.

What educational background or degree level is required for the Agriculture Reinsurance Risk Modeling Trainee at SCOR?

Candidates are generally expected to be holding or pursuing the following degree levels: Bachelor.

Does SCOR provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

Agriculture Reinsurance Risk Modeling Trainee

SCOR

Found 2 weeks ago

Location

Zurich, Switzerland

Time

Full-time

Work Mode

Hybrid

Salary

Not disclosed

Visa Help

Not disclosed

Last Verified

2 weeks ago

Education

Bachelor

Skills & Qualifications

Technical Skills

Python
machine learning models
climatology
modelling of climate-related perils
quantitative expertise
climatological expertise
agro-economic expertise

Soft Skills

statistical computing
programming
Communication
stakeholder engagement
Curious mindset
collaborative team player
strong appetite for continuous learning and achievement
Resilient under pressure
solution-oriented attitude

Job Description

Based in Zurich and reporting to the Head of Pricing for Specialty Lines, you will contribute to initiatives that drive Pricing Excellence, with a strong focus on data analytics. In this role, you will gain deep exposure to global agricultural reinsurance practices, strengthen your expertise in advanced analytics, and build a strong professional network – laying the foundation for future career growth within SCOR and the broader industry.

Requirements

Proficient in statistical computing languages such as Python, with solid programming experience.
Hands-on experience applying machine learning models, ideally in actuarial or risk-related contexts.
Experience in climatology and modelling of climate-related perils such as frost, hail or drought.
Clear and effective communicator, able to translate complex methods and analyses into actionable insights for diverse stakeholders.
Excellent communication skills in English.
Curious mindset, collaborative team player, and strong appetite for continuous learning and achievement in an international environment.
Resilient under pressure, able to meet deadlines while maintaining a positive, solution-oriented attitude.
Citizen of Switzerland or an EU country, or holder of a valid work permit.
University degree with strong quantitative, climatological, and agro-economic expertise.

Quantitative Finance

Quantitative Research

Languages

English

Nice to Haves

actuarial or risk-related contexts

Apply Now

8Open Positions