Data Engineer (Credit Data Science) (M/F)

Founded in 1856, Banque Internationale à Luxembourg is the oldest multi-business bank in the Grand Duchy. From its foundation, the BIL has always played an active role in the development of the Luxembourg economy.

It currently operates in retail, private and corporate banking, as well as on major capital markets. Employing more than 2 000 people, BIL is present in the financial hotspots that are Luxembourg, Switzerland, and China.

As a major player in Luxembourg's finance industry and as a signatory of the UN Principles of Responsible Banking, BIL is committed to handing over a responsible and sustainable bank to future generations.

Your next challenge :

• Contribute to the development and maintaining of all the modeling databases (Reference DataSet "RDS") related to the credit risk quantification implemented by the Bank in the context of the implementation of minimum requirements regarding of the own funds calculation (Pillar 1 A-IRB approach);
• Manage and ensure the consistency of the internal rating system integration within the risk management process and policies of the Bank as well as the data that is shared between several systems (Ongoing Model Monitoring).
• Continuously follow up on new methods, technologies, market trends in Data Science (python and pandas versions, snowflake and dataiku ).

Contribute to the "Lab" (or "R&D") mindset of the team.

• Transversal activities in collaboration with the IT team in order to manage and ensure the correct implementation of the IRB models.
• Developing and maintaining the modeling databases for IRB modeling and backtesting purposes based on Oracle and / or SQL server databases .
• Performing dedicated data quality during the development of the data flows, and ensure a complete and comprehensive documentation of the RDS (flows and data quality).
• Collaborating with Internal Validation, Internal Audit and JST for the review and validation of the data flows and RDS.
• Implementing the related recommendations and obligations if any.
• Ensuring continuous improvement and necessary modifications in the data flows.
• Ensuring training and knowledge transfer with the modeling team.
• Redacting of business requirements for IT implementation as well as supporting the testing and the documentation of the implementation itself.
• Technical support for the team

Your skills :

• Very strong data, statistical & mathematical background
• Master
• Mandatory languages : French and English and necessary language(s) for exercising the function
• General knowledge of banking industry (process and / or products), previous experience in credit risk data management preferred
• Dataiku, oracle SQL and SQL server, python, PySpark
• IRB constraints knowledge
• Ability to understand and to invest himself on very large spread of topics, from high level strategic business and commercial topics to very technical ones (mathematical or IT)
• Strong appetence for figures, statistics, algorithmic and quantitative activities; autonomous, structured and enthusiastic
• Ability to innovate and to "build from scratch"
• Willing to learn (technologies, methods) and to develop new skills
• Enjoying sharing his / her knowledge and supporting colleagues in developing their skills
• Minimum 5 years of experience
• A significant experience in data management is required

BIL offers a broad range of challenging projects and a huge choice of career paths .We will assist you in finding the one that best meets your skills and expectations.

Your personal development is our priority and we greatly encourage you to dive into different business areas for the broadest possible experience.

BIL is firmly of the opinion that diversity & inclusion contribute towards increasing the collective performance of the Bank.

We are committed to creating a culture of inclusion that encourages individual development with equal opportunities for all.

NB : The selected candidate will be asked to provide an extract from the criminal record (no.3) as evidence of integrity and justified with regard to the specific needs of the position to be filled.

Other documents will be collected, to the extent legally permitted, to perform background checks.