Data Scientist

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Publish Date: Feb 2, 2023

Location: Brussels, Vlaams-Brabant, BE

Company: worldline

 
About Worldline
Worldline is the European leader in digital payments and number four worldwide, powered by over 20,000 employees in more than 50 countries. Every day, our technology provides the trusted infrastructure for millions of people and businesses around the world - and we´re just getting started. We are on an exciting journey to lead the way towards the next frontier of payments. Our ambitions are extraordinarily high, and we need the best people in the world to bring them to life – people like you.

At Worldline, our technology addresses persistent challenges of the payment world. We craft and operate leading digital payment and transactional solutions that enable sustainable economic growth and reinforce trust and security in our societies. If you are a highly- motivated Jr Data Scientist, then get ready to join our company !

 

The role

 

The Data Scientist turns the huge amounts of data generated by payment transactions into unique insights that improve our measurement, monitoring and steering of merchant risk.

He/she explores the opportunities that innovative machine learning, data mining and statistical analysis can bring to create value for merchant risk management.

He/she collaborates with product teams, operations, data engineers and risk and compliance experts to plan, develop and deliver advanced analytics projects from start to finish, including all stages of project identification, stakeholder engagement, project management, and closeout.

 

Your day-to-day responsibilities include :

 

Risk Data Management & Project management

  • In close collaboration with IT solutions & project teams, participate in the design, implementation and maintenance of the Risk Data Management solution that fully supports risk data aggregation capabilities, sound risk reporting & modelling practices and state-of-the-art data science capabilities !
  • Participate in data management initiatives regarding risk data (data quality, data governance, etc.)

Methodologies & Risk analytics

  • Conduct periodic stress test to identify factors that could potentially negatively impact the risk/reward of the portfolio and propose mitigation actions
  • Design, implement and maintain advanced merchant risk predictive models

Reporting, Monitoring & Control

  • Contribute to the development of merchant risk steering and portfolio view
  • Automate and handle the merchant portfolio risk reporting covering credit risk, fraud risk, card scheme compliance risk and AML risk

Statistical methodologies and machine learning:

  • Works with models related to Risk scoring, stress testing
  • Creates analyses for the purpose of portfolio segmentation and clustering
  • Fits predictive modelling of future transaction flows and possible risky partners

 

Your profile

  • Master of Sciences degree in a quantitative field (Statistics, Data Science, Quantitative marketing, Quantitative finance or similar)
  • Good knowledge of predictive models and probability/statistics fundamentals such as linear and logistic regression
  • Excellent knowledge of machine learning algorithms including classifiers, clustering algorithms, and anomaly detection
  • Excellent understanding of relational model for database management and data modeling principles (conceptual/logical data models)
  • Working knowledge of either R, Python or SAS for both data manipulation and statistical analysis
  • Takes personal ownership, autonomous
  • Result oriented and diligent with a strong ability to prioritize work in a fast paced and changing environment
  • Learns continuously; seeks out knowledge, ideas and feedback
  • Good communication skills for interacting effectively with both business and technical development teams !
  • Fluent English
  • Experience in the financial services industry a plus

Grow with us, create tomorrow At Worldline, we are dedicated to helping our people unlock their full potential - both professionally and personally. With comprehensive training and development programs, expert communities, and global mobility programs, you will always be able to develop and grow at Worldline - wherever you want to go and whatever you want to do. We also offer flexible hours and remote working, to empower you to be your best self at work and at home. 8 in 10 Worldliners consider Worldline a friendly place to work, and 9 in 10 are satisfied with the training & development they receive. Worldline is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as an individual with a disability, or other applicable legally protected characteristics. Learn more about life at Worldline on careers.worldline.com .


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