Title:  Risk Data Scientist - Trainee

 Bucharest, Romania

This is Worldline.

Worldline helps businesses of all shapes and sizes to accelerate their growth journey - quickly, simply, and securely. We are the innovators at the heart of the payments technology industry, shaping how the world pays and gets paid. Our technology powers the growth of millions of businesses across 5 continents. And just as we help our customers accelerate their business, we are committed to helping our people accelerate their careers. Together, we shape the evolution.

The Opportunity

The Risk Data Science team is a team of risk and data science professionals which primary responsibilities are to oversee the risk resulting from the payment transactions of hundreds of thousands of merchants, support other risk teams with reports and data insights and research models and techniques that would improve the treatment of risks.

Data management and analytics are key area of development as the team strives to turn huge amounts of data generated by payment transactions into unique insights that improve measurement, monitoring and management of merchant risk.

Day-to-Day Responsibilities​

• In your role, you will explore the opportunities that statistical analysis and data engineering can bring to create value for the management of merchant risk.
• Your project work will address four key priorities in the development of our analytical capabilities:
• - Data engineering: in close collaboration with Worldline’s BI team who has the responsibility of developing and maintaining data management platforms, you will develop a risk data repository for the analysis of millions of electronic payments that are processed daily by Worldline
• - Reporting and Data Sharing: you will create reports and data sharing solutions using BI tools to help risk teams get access to the data that they need to best perform their tasks. Moreover, you will collaborate with users in refining the design of informative dashboards and data sharing systems.
• - Merchant portfolio optimization: you will contribute to develop a risk-based pricing approach to achieve an optimal risk/reward balance consistent with the company's business strategy
• - Machine learning and platform building: you will contribute to building machine learning models and putting them in production, building platforms and making sure the models function properly within the environment.
• Depending on your main area of specialization, and our team’s business needs, you may be required to place more focus on one or another of our key priorities, at the end of your internship based on the results you will be considered for either a data scientist or a data engineer position.

Who Are We Looking For

We look for big thinkers. People who can drive positive change, step up and show what’s next – people with passion, can-do attitude and a hunger to learn and grow. In practice this means:

• Ability to manipulate and analyse large and complex data sets coming from internal and external sources
• Data-driven and outcome-focused; able to tell stories using data
• Takes personal ownership; self-starter; ability to drive projects
• Result oriented and diligent
• Learns continuously; seeks out knowledge, ideas and feedback
• Good communication skills for interacting effectively with both business and technical development teams
• Good knowledge of BI systems and an ability to take feed-back with users and coordinate with them for improving the layout and functionalities of your system

• Master of Sciences degree in a quantitative field (Statistics, Data Science, Quantitative marketing, Econometrics, Quantitative finance or similar)
• Very good knowledge of data manipulation and analysis using SQL BI systems or Python
• Excellent understanding of relational model for database management and data modelling principles (conceptual/logical data models)
• Good knowledge of either R, Python, SAS or similar statistical software
• Knowledge of either JavaScript is a plus
• Good command of English required; fluency in French beneficial

Perks & Benefits

At Worldline you’ll get the chance to be at the heart of the global payments technology industry and shape how the world pays and gets paid. On top of that, you will also:

• Hybrid Working Policy
• Gift vouchers on the occasion of Christmas/Easter Holidays
• Private medical services
• 21 vacation days/year
• Referral bonuses for new hires recommended by you
• WFH & Flexible Working Hours
• Full access to the “Learning” platform

Shape the evolution.

We are pushing towards the next frontiers of payments technology, and we look for big thinkers to join our journey. People with passion, can-do attitude and a hunger to learn and grow. Here you’ll work with ambitious colleagues from around the world, take on unique challenges as a team, and make a real impact on the society. And with our empowering culture, strong technology and extensive training opportunities, we help you accelerate your career. Wherever you decide to go. Join our global team of over 18,000 innovators across 40+ countries, and shape a tomorrow that is yours to own.

Learn more about life at Worldline at jobs.worldline.com

We are proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, 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 any applicable legally protected characteristics.