ING is looking for an experienced Chapter Lead to help build on our data led ambition for the Wholesale Lending Business.
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.
Within Tribe Lending we have set ourselves on a mission to become fully digitized and data led so as to enhance the experience of our Clients and our employees. Lending is the core of ING’s lifeline. Hence also the driver in ING’s transformation journey.
In our urge to make complex Lending simple, reusing data, following the patterns it provides and predicting the investments we make in our clients is key. We are tackling fundamental, high impact solutions in the financial services industry. Our Tribe consists of roughly 120 professionals and we are growing to accelerate this transformation journey. We are talking of making a fresh start, being creative, challenging the status quo and defer decisions to data and algorithms. We are talking of game changers. So if this sounds exciting and nerve wrecking at the same time, read on!
What is the role we hiring for?
As we continue our growth and establishing the added value data science and machine learning will bring to this transformation journey, we seek a leader for our data science chapter. This means you must be a hands-on coach. A Chapter lead role splits his/her time 50-50 over engineering and leading a chapter. Your key responsibilities
You hierarchically oversee a chapter of 9 data scientists. This covers the recruiting of new talents, administration, personal development, and evaluation of your Chapter members. You inspire and encourage your Chapter members to develop themselves, providing them coaching on both the professional as well as the personal level.
Who should apply?
At ING, we promote diversity not just because it is the right thing to do, but because it’s essential for delivering on our strategy. To stay a step ahead we need teams with a healthy mix of contrasting perspectives and backgrounds as they are more creative, faster to adapt and more inventive with their solutions. We strive to hire a workforce as diverse as the communities in which we operate, and we will consider every application, regardless of race, religion, color, national origin, sex, disability or age.
If you are an experienced leader in the advanced analytics data science and machine learning (6+ years’ experience) with the proven track record to mentor, coach or develop people, and with the passion of leading teams to drive results and interact with stakeholders, we would love to hear from you.
Additional optional criteria which will be considered separately as a “plus”:
What we oﬀer
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