The 'Operational Risk Manager Assistant' role is part of SCOR's ORM team. ORM supports the
identification, assessment and monitoring of operational risks across the Group, including governance
and reporting, coordination with subject matter experts, and continuous improvement of the operational
risk scenario framework. Scenarios are structured narratives of plausible operational loss events; they
are documented consistently, reviewed with experts and committees, and translated into quantitative
assessments (frequency/severity assumptions) that notably serve as key inputs to the Operational Risk
Model.
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
The Working Student will support the enhancement and operationalisation of the Group Operational
Risk Scenario framework, with a focus on improving the structure, consistency, documentation and
analytical support for scenario assessments used as key inputs to the Operational Risk Model.
This includes supporting the evolution towards a more structured scenario universe (e.g., "scenario
families"), improving scenario data quality, and preparing materials to facilitate reviews with subject
matter experts and governance committees.
We are looking for a candidate available at least 12 months, ideally longer.
- Strong analytical skills; ability combine multiple frameworks and structure messy information into clear frameworks.
Comfort with quantitative reasoning (ranges, frequencies, distributions) and data quality checks.
Proficiency in PowerBI and MS suite.
Ability to use AI is strongly
recommended.- Knowledge of statistics / modelling concepts; or programming skills (Python/R) for data processing.
- Strong written communication (ability to draft crisp notes and slide content).
- Reliability, attention to detail, and respect of confidentiality. Ability to work with multiple stakeholders (ORM team, SMEs, first line).
