Data Science Chapter Lead
ING Group
Amsterdam, NL
1 dag geleden

ING is looking for an experienced Chapter Lead to help build on our Global Analytics ambition for Financial Crime & RegTech.

ING’s goal is to enable people to do their thing and empower them to stay a step ahead in life and 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, which formed two years ago, 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.

In our center of expertise, we create advanced analytics applications in the financial crime, regulatory technology (RegTech), and Know your customer (KYC) domains.

We are tackling fundamental, high impact, problems in the financial services industry. We are passionate about protecting both our customers and our society, delivering products that make ING a safer and more compliant bank.

We are building advanced analytics solutions and systems to augment ING capabilities in areas such as anti-money laundering (AML), human trafficking and customer due diligence.

Our group consists of roughly two dozen data scientists, software developers and domain experts, working together to deliver innovative solutions in our domain across multiple countries.

What is the role we hiring for?

As we continue our growth and establishing the added value analytics bring to our domain, we seek a leader for our data science chapter.

This someone should help us to :

  • Support & structure the growth and career trajectories of our outstanding data scientists.
  • Challenge the status-quo & accelerate our work and capabilities to transition from building models to delivering state-of-the-art data
  • products.

  • Enable our squads to make an impact and drive the growing process we undergo as an analytics group.
  • Promote advanced analytics approaches in the KYC domain and drive the business transformation together with our business stakeholders and ING Analytics.
  • Work as a senior data scientist on a concrete financial crime data science use case and deliver real and meaningful value to our customers and our society.
  • Who should

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