Data Scientist

Your role and work environment

You work within the Wholesale Banking Global Tribe Lending. The purpose of our Tribe: Make complex lending simple! For borrowers, ING employees, investors and regulators. The Tribe is responsible for easy, reliable, and controlled processes for getting a loan and managing your loan. Also, the distribution of the loans to lenders and investors (amongst other syndications) is part of the scope. Our clients are spread across 40 countries; we are converging to one way of serving our clients, delivering a uniform client experience across countries. As a data scientist you will work with various squads in the tribe on the automation of approval processes, risk monitoring and risk modeling.

Data Scientist

Your responsibilities are to perform data analysis and build machine learning models to improve our lending processes. You have broad interests: you enjoy using any data science tool to create value out of data. You’re pro-active in keeping yourself up to date and are always searching for new technologies in the field of Natural Language Processing & Machine Learning for finance. You combine both thinking of the future and a hands-on, right-now attitude. You enjoy working with internal and external customers to refine requirements of your solutions.

The team

The Data Science & Machine Learning chapter is part of the global ING Tribe Lending based in Amsterdam, Dublin & Manilla that has the mission to simplify our lending processes by applying the latest advances in AI. We are part of the technology organization. We work in a fun and creative environment, and we’re dedicated to bringing out the best in both our relations and our projects. You will work in a team with highly skilled people and enjoy a creative atmosphere where trying out new things is encouraged.

Requirements

• MSc or PhD with a strong focus on math & software engineering (e.g., Computer Science, Software engineering, Data Science, Machine Learning, Econometrics, Physics)
• You have at least 2 years working experience as Data Scientist and have experience moving a data science solution from exploration to production
• The ideal candidate has previous experience as data engineer, financial analyst, or software engineer.
• Knowledgeable in machine learning techniques and Natural Language Processing and willingness to keep the knowledge up to date.
• Strong programming skills in Python and experience in delivering production grade code using SKLearn, Spacy or MLFlow
• Experience in working in an agile/scrum way is a plus
• You have excellent oral and written English communication skills at technical and business level.
• You are a team player but can deliver individually in close cooperation with other ING colleagues.