QUANTITATIVE RISK ANALYST
QUANTITATIVE RISK ANALYST
Design econometric, statistical and Machine Learning models for risk prediction at the bank.Specialised maths and statistics have always been your preferred playing field? You love juggling different equations?
As a Quantitative risk analyst, you will develop tools for managing the bank’s risks, such as rating models used by the Front Officers and models to calculate the right amount of capital required by the regulator.
Your responsabilities
- Designing models: statistical models in line with banking regulation and the needs of the various business areas.
- Expertise sharing: help the various business areas to better understand regulation enforcement.
- Innovation: contributing to the development of Data Science solutions rolled out as part of the bank’s new management projects.
HIGHLIGHTS OF THE JOB
Achille-Joël | Quantitative risk analyst
My job is to design and monitor statistical models credit risk assessment. Specifically, I work with a wide range of historical data on loans which have defaulted on payments. This data is various: this could be customer records, behaviors on the contract, macroeconomic indicators.
The goal is to be able to use this data to extract generalities and trends that allow to anticipate the bank's credit risk. For example, it's predicting the probability of default by borrowers, the amount at risk in case of default or even the loss.
I find very motivating and rewarding to work on strategic projects. I am proud to have been able to participate in a project of risk modeling that was followed by a submission to the European Central Bank, which is relatively rare in the industry. This mission was particularly rewarding, but also very educational.
It allowed me to question my own certainties and broaden my horizons.
The key skill is the ability to communicate. On the one hand, knowing how to communicate with the machine, i.e. being at ease with at least one programming language dedicated to statistical analysis such as SAS, R or Python. On the other hand, the ability to communicate figures, i.e. knowing how to correctly interpret these analyses.
I am part of a large team of modelers which is very supportive and where everyone can share their ideas. It creates an environment of trust and a real team spirit. Moreover, the team enhances its external appeal by proposing around ten internships every year on challenging and rewarding subjects. We also actively contribute to the reskilling program. This program offers various training to our employees who work in other departments of the bank and want to learn a new job.
Required skills
Logic
Ability to teach and explain
Innovative spirit
Knowledge of modelling techniques
Master’s degree in Engineering with a specialisation in econometrics, stochastic mathematics or statistics
How to join us
To get to know each other and make sure you will be happy as part of Societe Generale, please follow the below steps.
01
By responding to our job advertisement.
02
We’ll contact you for an initial exchange
and online tests.
03
You’ll meet our operational team and human
resources partners.
04
The job is yours, and you’re ready to start the adventure.
The adventure has just begun!
At Societe Generale, we make sure that everyone can forge their own path depending on their goals and abilities. After few years as a Quantitative risk analyst, you new opportunities will be open to you:
- Auditor
- Value Analyst
- Market Risk Analyst
- Structured Finance Manager
- Structurer