bil.com Description Banque Internationale à Luxembourg (BIL) is one of the biggest banks in the Grand Duchy and offers retail, private, corporate and institutional banking as well as treasury and financial market services.
Most of BIL’s 2000 employees work at the headquarters in Luxembourg city - this centralized setup promotes swift, agile decision-
making and short reporting lines, enabling BIL to offer clients innovative solutions for their changing needs. Responsibilities Missions : As a member of the Advanced Analytics & Big Data team, you will apply statistical and quantitative approaches in a growing scope of applications, such as : Commercial performance & marketing analysis Decision-
making automation Fraud detection AML KYC compliance Internal processes acceleration And more globally, contribute actively to BIL becoming a data driven organization, by identifying proactively new business cases to tackle with Data Science.
The transversal scope of Advanced Analytics & Big Data team involves a collaboration across the different BIL business lines and departments.
More than being a technical position, this role requires to understand business stakes and the ability to propose the best solution(s).
In consequence, a both business orientation and solution-oriented mindset is mandatory. As data scientist, your day-to-day job will consist of : Explore available data, to identify the best sources for models Create new insights or new models, applying different statistical algorithms (supervised or non-
supervised exercises) and choosing the most adapted to each business issue Test model results, in close collaboration with sales forces and business supports, and deploy them for action when validated Work closely with IT for industrialization, with BI Services for integration of data insights into reports, and Data Governance for enhancing Data Quality Management on Analytics outcomes Be an active player in the Analytics Capability project (Big Data) for the business side (needs, specifications, tests, ) Continuously follow up on new methods, technologies, market trends in Ai and Data Science (Machine Learning, Big Data, Deep Learning & Neural Networks, NLP ).
Contribute to the Lab (or R&D ) mindset of the team. Must Have Requirements Qualifications : Very strong statistical & mathematical background (e.
g. ENSAI / ENSAE engineer, PhD in Statistics) +5 years of work experience, preferably as a data scientist or in highly technical and analytical role, within a financial institution (e.
g. Risk Management) or in a consulting firm General knowledge of banking products Hands-on experience in working with large datasets / data warehouses, using data mining and modeling tools and languages (Python highly preferred) Practical experience on Hadoop ecosystem would be an asset Strong interest in new technologies, especially in Data Science & AI In-
depth knowledge on statistical modeling and predictive analytics (theory and practice) : Machine Learning, Deep Learning, NPL, image recognition Strong communication and presentation skills to share findings and to explain complex statistical concepts to a non-
technical audience Profile : Willing to combine a job with business and highly technical aspects Knowledge in Business Intelligence tools & concepts (proven experience of an advanced Data visualization tool, such as Tableau or Qlikview, is an advantage) Strong appetence for figures, statistics, algorithmic and quantitative activities Client oriented, ability to understand business problems and appetence to have a real impact on them Able to organize him / herself and set priorities Willing to learn (technologies, methods) and to develop his own expertise Education level : Master's Degree Work experience : 5-
7 years Start contract date : 30-09-19 Contract duration : Undefined