FAQs
What are the main responsibilities of the Working Student Cat Model position?
The main responsibilities include implementing a pipeline for enhancing the exposure model, conducting Nat Cat related research, leveraging data science techniques for data enhancement, making data quality recommendations, and supporting R&D projects for the production environment.
What qualifications are required for this position?
Candidates should be students, preferably in mathematics, engineering, or a related field, and must be proficient in data manipulation, particularly programming in Python.
Will there be opportunities for professional development in this role?
Yes, working at SCOR provides an opportunity to engage with industry experts and encourages collaboration in solving pressing societal challenges.
Is this a permanent position?
No, this position is for a working student, typically intended for those currently pursuing their studies.
What regions will the focus be on for the data enhancement?
The focus will be particularly on central and south America.
What kind of research will the role involve?
The role will involve conducting research related to natural catastrophes (Nat Cat) and translating those insights into positive business impacts.
How does this position contribute to SCOR’s mission?
This position contributes to SCOR’s mission by enhancing risk models, which ultimately helps clients manage and control risk, promoting societal welfare and resilience.
What tools or technologies will I be using in this job?
You will primarily use Python for data manipulation and possibly other data science and machine learning tools as part of the exposure model pipeline implementation.
Is this role focused on individual tasks or does it encourage teamwork?
This role encourages teamwork, as you will be collaborating with other professionals such as actuaries, data scientists, and risk modelers at SCOR.
Will I have the opportunity to influence business opportunities through this role?
Yes, you will have the opportunity to influence business opportunities by modifying existing exposure models to reflect risk changes based on research findings.