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Data Scientist in Amsterdam

Junior/Medior Data Scientist – KYC, Fraud & Cybersecurity... The... In our tribe, we apply analytics & AI solutions for the KYC, Fraud & Cybersecurity domains and create advanced analytics applications and models....


Junior/Medior Data Scientist – KYC, Fraud & Cybersecurity tribe

The opportunity

In our tribe, we apply analytics & AI solutions for the KYC, Fraud & Cybersecurity domains and create advanced analytics applications and models. These models are used to mitigate, detect and to effectively tackle the risk of financial crime for our customers and our society, making us a safer and more compliant bank. Our tribe consists of more than two dozen data scientists, engineers, data analysts, and customer journey experts, working together to deliver innovative solutions in our domain across multiple countries.

Wr are looking for a junior/medior data scientist to join our tribe to join the fiht against financial crime.

 The team

ING’s goal is to enable people to “do their thing” and empower them to stay a step ahead in life and in business. We are one of the largest banks in Europe and we continuously evolve to become one of the most innovative companies in the banking sector. The ING Analytics group is a major driving force in ING’s transformation, aimed at helping us to become a data-driven organization, where advanced analytics is at the heart of our business processes.

Roles and responsibilities

Your main focus will be on:

  • Develop an expertise in applying machine learning techniques for outlier and fraud detection, representation learning, entity resolution, and network & graph applications.
  • Adopt best practices and quality standards for developing & deploying fit-for-purpose model pipelines, addressing the requirements of the ING model governance.
  • Be an effective member of a model development & implementation squad, challenge the status quo and build what matters.
  • Actively learn about our domain, reach out to our stakeholders, and tell captivating stories with our data to create a journey that makes our bank and our society safer.

How to succeed

We hire smart people like you for your potential. Our biggest expectation is that you’ll stay curious. Keep learning. Take on responsibility. In return, we’ll back you to develop into an even more awesome version of yourself.

  • MSc or PhD with excellent academic results in the field of Mathematics, Physics, Computer Science, Engineering, Econometrics or similar.
  • You have at least 1+ years (Junior)  or 3+ years (Medior) of work experiencein the Data Science space (methods, technology, data) including statistical modelling and machine learning experience to solve business questions and/or develop (innovative) data driven products
  • Programming Languages: Python is an advantage
  • You are able to explain complicated subjects clearly
  • You are friendly and approachable with good humor and personality
  • You are motivated to keep on top of the latest developments
  • You have good knowledge of a wide range of machine learning algorithms, ranging from more classical econometric models to cutting-edge neural networks and are able to match them to business problems
  • You are a team player who strikes effective balance between independence and acting in the interest of the team

Rewards & benefits

Rewards and benefits

We want to make sure that it’s possible for you to strike the right balance between your career and your private life. You can find out more about our employment conditions at https://www.ing.jobs/netherlands/Why-ING/benefits.htm

The benefits of working with us at ING include:

  • A salary tailored to your qualities and experience
  • 24-27 vacation days depending on contract
  • Pension scheme
  • 13th month salary
  • Individual Savings Contribution (BIS), 3.5% of your gross annual salary
  • 8% Holiday payment
  • Personal growth and challenging work with endless possibilities
  • An informal working environment with innovative colleagues

Extra informatie

Fulltime (ervaren)

Amsterdam | ICT / IT / Programmeur | Fulltime (ervaren)

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