Quantitative risk analyst
QUANTITATIVE RISK ANALYST
Design econometric, statistical, and Machine Learning models for risk prediction at the bank.
Are specialised maths and statistics your preferred playing field? Do you enjoy juggling different equations?
As a Quantitative Risk Analyst, you will develop tools for managing the bank’s risks, such as rating models used by Front Officers and models to calculate the appropriate amount of capital required by regulators.
Your Responsibilities
- Designing models: statistical models in line with banking regulation and the needs of various business areas.
- Expertise sharing: helping business areas better understand regulation enforcement.
- Innovation: contributing to the development of Data Science solutions as part of the bank’s new management projects.
Highlights of the Job
An innovative working environment.
High-level expertise in applying mathematics to finance and quantitative risk.
Close collaboration with the Data Science community.
"For those passionate about maths, there are many positions and applications within the bank. Risk teams increasingly require technical proficiency, and degrees related to mathematics and statistics are highly valued."
Achille-Joël | Quantitative Risk Analyst
Master’s degree in Engineering with specialisation in econometrics, stochastic mathematics, or statistics.
How to Join Us
Follow these steps to get to know each other and ensure you will be happy as part of Societe Generale:
- Respond to our job advertisement.
- Share a bit about yourself. We’ll contact you for an initial exchange and online tests.
- Is it a match? You’ll meet our operational team and HR partners.
- Welcome! The job is yours, and you’re ready to start the adventure.
The Adventure Begins!
At Societe Generale, we support everyone in forging their own path based on their goals and abilities. After a few years as a Quantitative Risk Analyst, many new opportunities will open to you.
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