BackPosted on 08/06/2016
Senior Data Scientist
BNP Paribas Fortis
Full time |
Salary type not mentioned
Salary not mentioned |
Senior Data Scientist
As a first priority, you will address diversified business problems focused on security like financial fraud, systems intrusion or user accesses abuse. You’ll also have the opportunity to provide your contribution to the development of data driven solutions related to other bank topics like Marketing & Sales, Finance & Accounting or Business Processes.
Therefore, you will have access to
one of the richest volume of varied data in the market to apply your skills. BNP Paribas Fortis is indeed the largest bank in Belgium;
an environment where innovation (i.e. agile) and lean processes are praised, straight communication is encouraged, and peers understand the meaning of team up;
experienced data scientists who share their knowledge and build up strong competences together. BNP Paribas Fortis is also more and more collaborating with the most innovative start-ups in the market to bring new competences and ideas and also new ways of working in mixed (internal-external) teams
the top management to communicate the fruits of your work instead of getting stuck in the back office;
In respect to the focus of a first mission, your role consists of
work with business and technology stakeholders, subject matter experts, team leaders and other data scientists to extract more value from company's unique finance data set and serve clients
contribute to the design of fraud detection approaches mixing human knowledge and machine learning in compliance to the relevant performance trade-offs
support effective data management: contribute to specification of data requirements; create data pipelines; create logical/physical data models adapted to the needs of an analytical environment
design algorithms to identify fraudulent activity of all kinds
produce evaluations of the quality of detection algorithms (fraud detection is an unsupervised problem!)
You have a university degree with a link to data analytics like: data science/data mining, statistics, computer science, mathematics, physics, engineering, psychology or sociology; experience in IT security and/or Banking is a plus; PhD level can be a plus
You are able to define, design and develop data pipelines to manipulate large, complex, high-dimensional datasets using different programming languages like SQL, R, Python, Spark, Scala, Julia; you can create the physical/logical design of a database; experience with several NoSQL databases and/or streaming data is a plus
You have deep theoretical understanding and practical experience in quantitative data analytic techniques including statistics and machine learning; experience with text analytics, graph mining and/or deep learning is a plus
You are autonomous, solution oriented, collaborative, able to quickly assess a problem both qualitatively and quantitatively and you strive presenting results and describe techniques in both technical and non-technical contexts; experience with agile methodologies is a plus
A good knowledge of the two national languages and of English are important.
In summary, you have a strong passion for empirical research and answering hard questions with data or otherwise you couldn’t qualify in the points above!
We believe that our evolution is driven by our employees. In return, we strive to provide optimal working conditions that enable people to develop both a professional and personal level. We offer a challenging working environment in which you are going to have a real impact on the digital revolution within our company. In addition, you can expect an interesting salary and attractive benefits. In order to respond to your individual needs, you can actively shape your benefit package.
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