Credit Risk Manager InternSCOR

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.

The Group Investment Office (GIO) oversees the management of the invested assets of SCOR Group. Within the Group Investment Office, the Group Investment Risks and Control team is in charge, for the Group and the entities, of monitoring market and credit risks (quantitative and qualitative) borne by SCOR's invested assets portfolios, as well as ensuring the compliance of the invested assets portfolios.
The intern will join the Credit Risk team and contribute to the work related to the assessment and monitoring of credit risk under the IFRS 9 framework applied to the invested assets portfolios. Within an international environment and a wide range of asset classes (bonds, loans, securitized products, etc.), the intern will participate in the analysis of the methodologies and models used for credit risk evaluation.
The main purpose of the internship is to propose a potential alternative simplified and comprehensive model for Expected Credit Losses under IFRS 9. The staging rules, the calculation of Loss Given Default, and the economic scenarios to be considered for conditional probabilities are not to be studied as part of the internship. However, a method for calculating conditional probabilities that incorporates economic scenarios must be proposed.
The intern will be able to leverage on the current IFRS 9 framework and model, identifying bottlenecks, complexity and limitations.
It is expected that the intern will consolidate these analyses into a comprehensive and well-structured research paper, including a quantitative analysis on a target portfolio representative of SCOR's assets.
This internship offers a unique opportunity to deepen methodological understanding of IFRS 9, work closely with experts in financial risk management, and develop solid knowledge of credit risk dynamics within a globally diversified investment portfolio.
You will work closely with the other team members of the Group Investment Office and with various other stakeholders (asset managers, accountants, IT, Group Risk coverage team, auditors…).
Responsabilities
Credit Risk & IFRS9
* Conduct a comprehensive methodological review of the credit risk models (Default Probability, Loss Given Default, staging, , etc.), assess their assumptions, limitations, and potential improvements, and produce a structured paper on the subject, in IFRS 9 framework.
* Ability to simulate IFRS 9 accounting calculations using PD-based models, building on the findings from the preliminary methodological review.

Qualifications
Required experience & competencies
Experience:
* Experience in Finance or Academic research in Finance is preferred
Personal Competencies:
* Strong analytical capabilities, rigor
* Good interpersonal skills and multicultural awareness and sensitivity
* Good knowledge of credit risk modelling
* Strong interest in financial markets
Soft skills:
* Open and critical mindset, curiosity, creativity, proactivity
* Good team spirit, ability to work with different interlocutors with different skills
Digital Competencies:
* Python, MS office (VBA), SQL basic knowledge, Power BI.
* Not necessary but a plus: Bloomberg, Moody's analytics solutions
Required Education
* Student from a top engineering school or enrolled in a Master of Science (Bac+5) in Mathematics, Quantitative Finance, Actuarial science, Economics, or another quantitative field.
* PhD students with a strong interest in quantitative finance research are also welcome.
* Strong interest in credit risk research and methodological work.
* Strong writing and synthesis skills.
* Fluent in English, both written and spoken.
* High intellectual curiosity and appetite for rigorous analytical work.