Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming
BNP Paribas is one of the euro zone’s leading banks, with nearly 200 000 employees in 74 countries with key positions in its three main activities: Retail Banking, Investment & Protection Services, International Financial Services and Corporate & Institutional Banking.
RISK function
The mission of the RISK function
Within the RISK function, RISK Artificial Intelligence Research is an AI expert team in charge of developing Artificial Intelligence solutions for RISK Streams and beyond. This involves in particular assisting internal customers with the definition of their projects, understanding both available data and existing pain points. Then the team proceeds to develop algorithms and deploy them in systems /applications (interface + back end) to give access to the solution built to designated internal users.
In addition to the development of use cases, RISK AIR also plays a central role within the BNP Paribas AI community and provides technical expertise on artificial intelligence topic such as robustness, auditability, monitoring, bias and explainability.
If you are passionate and want to work in a dynamic, multicultural and multidisciplinary environment, you should definitely consider RISK AIR.
Key Responsibilities
You will define the relevant technical approach in order to solve large-scale practical problems relating to the use of machine learning, deep learning, NLP.
You will leverage the latest academic developments and contribute to the development and evaluation of these solutions (methodologies and algorithms).
You will work the diversity and scale of data that only a large, international and diversified banking group can offer.
You will develop best practices in artificial intelligence that promote the appropriation of current data science technologies, particularly on topics such as explicability and bias measurement.
You will evolve within a start-up mode within a dedicated, data-driven environment.
Beyond projects, Data Scientists are expected to share their expertise at multiple levels: within the team though technical sharing sessions and beyond as well during our regular open discussion sessions on AI.
QUALIFICATIONS
Essential
Bachelor or Master Degree in AI, Data Science or Statistics or related field.
at least 2-year experience as data scientist in an agile, innovation-oriented team.
In particular, experience translating customer needs into data science solutions, experience developing models to address customer needs, experience deploying model into production and providing support and explanations to end-users.
BNP Paribas is a prominent international banking and financial services group headquartered in Paris, France. It is one of the largest banks in the world by total assets and operates in more than 70 countries, serving millions of clients. The bank's history dates back to the mid-19th century, with various mergers and acquisitions leading to the formation of BNP Paribas as it is known today.
Frankfurt, Germany
0-2 year
Frankfurt, Hessen, Germany
4-6 year