It all starts with data
And with the people who know what can and may be done with it and how data can be used for the customer’s benefit. Will you soon be playing a key role in ING’s ongoing transformation from a bank into a tech company?
ING is currently in the midst of a radical and exciting transformation from a traditional bank into a tech company. As an inextricably linked part of that, we are becoming ever-more data-driven. We are already changing at a rapid pace, but we can and will move even faster. To achieve this, we are investing heavily – including in new talent.
Data: the fundamental basis for innovation, product development and client interaction
Client data is the source of extremely valuable information that we can use to make a real difference for our customers. Data helps us to develop products that are optimally aligned with our customers’ needs. This enables us to empower them to stay a step ahead financially in life and in business. Data drives innovation and helps to provide a solid basis for business decisions. We are already heavily data-driven in many areas, but our ultimate goal is for data to be the logical starting point for innovation, product development and client interaction in all layers and all departments of the bank.
In order to accomplish that, we want to recruit true ‘data lovers’: talented individuals for whom data is second nature and who are looking for the optimal way to prepare for a future role as a data scientist or data modeller; people who can show teams across the entire bank just how much is possible with data and then help them to unleash those possibilities.
There are endless applications for data, but we’ve grouped them into four categories that you can tackle as an Analytics trainee:
Pricing and risk models: Data is indispensable when deciding on our pricing strategy and when analysing and predicting risks, aided by intelligent models.
Client interaction: In order to continuously improve the service we provide, it is essential that we understand our customers. For example, we can use data to make personalised proposals that help our customers to stay a step ahead.
Operations: How can we optimise processes for our customers and our own employees?
Product innovation: Data as an innovation driver in the Wholesale or Retail Banking environment.
Contributing to the transformation into a tech company
Your first project: a firm foundation
You can select your first assignment from a choice of projects that are suggested to you. This first assignment gives you a firm foundation and a solid introduction to data science within the bank. For example, you could be working on improving customer dialogues, helping with a pricing project or a predictive model for Risk, or working on people analytics tor HR. Data is everywhere within the bank!
You will formulate use cases and develop them into data science applications. You translate the insights you gain from your cases into solutions, resulting in benefits such as better client interaction, cost reductions or greater process efficiency.
Your second project: an assignment abroad?
Your first permanent role: deeper and more refined
Shape your own career
General and specialised training courses
All ING trainees participate in our global learning events. You learn about every aspect of core banking, such as the role of a bank, the bank balance sheet, bank funding, IT processes and risk management. Needless to say, these events also help you to develop your soft skills such as business partnering, stakeholder management and presentation techniques. Furthermore, we offer a broad spectrum of training opportunities that are aligned with your specific development needs. These include training sessions to support your personal growth and development of particular competencies as well as courses to help you develop as a business and banking professional. You decide which kind of training you need in consultation with your manager.
Specifically for Analytics, there are training courses related to coding, visualisation, engineering and statistics & methodology.
A key role in the bank's transformation
Are you convinced that you could play a key role in ING’s transformation into a tech company?
Have you got a university degree or PhD, preferably in mathematics, econometrics, computer science, statistics or engineering? And do you have demonstrable knowledge of quantitative techniques and programming languages? Are you mad about data and do you just love analysing data and unleashing its power? Are you keen to take a deep dive into datasets, write algorithms and build models, and does artificial intelligence truly fascinate you? On top of all that, are you a creative individual who sees challenges as an opportunity to devise innovative solutions? And are you eager to drive change and progress to help ING become the tech company that we have in mind? Last but not least, do you have the courage to aim for ambitious goals and shoulder your responsibilities? Are you willing to invest in your own development and learn a huge amount about not only your chosen discipline but also yourself in a short space of time?
Choose the Analytics traineeship at ING and allow your talent to flourish! Apply online for the vacancy of Analytics trainee and convince us of your potential. If you’re successful, you’ll be invited to take an online test, which is Step 2 of the selection procedure for the International Talent Programme.
You can find detailed information about the application and selection procedure here.
We can only accept complete applications. This means your CV and (provisional) transcripts of your bachelor or master grades. It’s not necessary to upload a cover letter, because you will be asked to answer questions about your motivation during the application process.
We work with two selection cycles with different start dates: