Credit Risk & Regulatory Data Engineer (Dataiku / IFRS 9 / Basel III) (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:

You will join a transversal team at the crossroads of Finance, Risk and IT, playing a key role in the industrialisation and reliability of regulatory calculation engines and associated data flows.
Design, maintain and enhance Dataiku-based solutions supporting regulatory calculation engines (RWA, ECL - IFRS 9, Basel III).

• Develop, maintain and optimise robust data pipelines ensuring reliable, traceable and well-controlled flows from source systems to calculation and reporting layers.
  
• Contribute to Basel III (Pillar I) RWA calculations, with a strong focus on data consistency, controls and explainability.
  
• Support the production of IFRS 9 ECL figures by contributing to data transformations, variation analyses and related controls.
  
• Support regulatory reporting processes (FINREP, COREP, Large Exposures, AnaCredit) by ensuring data integrity, traceability and quality.
  
• Implement evolutions driven by regulatory changes, model updates or business needs, in line with IT governance and release management processes.
  
• Perform data quality checks, reconciliations and analyses in close collaboration with Finance and Risk teams during monthly and quarterly closing cycles.
  
• Act as a technical reference on Dataiku, SQL and data engineering topics, supporting users and promoting best practices.
  
• Contribute to the continuous improvement of the internal control framework, including process documentation, testing activities and support to internal or external audits.

Your skills:

• Master's degree in Finance, Business Engineering, Computer Science, Risk Management or equivalent professional experience.
• Minimum of 3 to 5 years' experience in a Finance, Risk or IT environment within the banking or financial services sector.
• Strong hands-on experience with Dataiku DSS.
  
• Advanced SQL and solid data engineering skills.
  
• Good proficiency in Python for data processing and automation.
  
• Experience with regulatory data environments is a strong asset.
• Good understanding of regulatory frameworks (Basel III, IFRS 9, regulatory reporting).
  
• Knowledge of banking products, accounting principles and credit risk concepts is appreciated.
• Strong analytical mindset with high attention to detail.
  
• Ability to work effectively in a transversal, multi-stakeholder environment.
  
• Proactive, responsible and solution-oriented attitude.
  
• Excellent communication and teamwork skills.
  
• Proficiency in both French and English (written and spoken).
  

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.