Traineeship - Analytics October 2020
- ING Bank
- Banking, Data Science
The world of banking is changing faster than ever, enjoy the best international experience in our Analytics traineeship
During our four year programme you create your own career within Analytics. You learn more about your chosen discipline and the financial services sector. Our International Talent programme also allows you to discover yourself through a wide selection of trainings tailored to your needs.
Make an impact as a trainee
Our purpose is to empower people to stay a step ahead in life and in business. We are an industry recognized strong brand with positive recognition from customers in many countries, a strong financial position, Omni-channel distribution strategy and international network.
Do you want to work at a place where we believe that you can make the difference by using machine learning to generate data driven products? Why wait, discover how today.
We are incredibly excited about Analytics and the great potential for progress and innovation. We believe that analytics is a key differentiator in bringing “anytime, anywhere, personalized” services to our customers. We wish to improve our operational processes and create new and innovative data driven products that go beyond traditional banking, such as the platform models. Achieving this vision will require us to build and expand on our analytical efforts and organize ourselves around focused value buckets with strong coordination capabilities of data, technology, customer journey, UX, as well as external partnerships.
Your first rotation
As an Analytics trainee you work on important projects that help realize the vision of ING, differentiating ING as a leader in data-driven organization, within the banking sector and beyond. These could relate to areas of such as Pricing, Risk Management, Financial Crime, Customer Intelligence, Data Management, Technology and many more.
Needless to say we offer you an excellent base salary for this traineeship (starters position), a 13th month, paid annual leave, an impressive training package and a permanent contract. But, above all, we offer you the chance to shape your own ideas in a receptive environment and one which helps to make banking even simpler and more transparent for our customers. Together with other (international) trainees you will participate in global events, which will enable you to quickly build up a large network.
As a trainee you receive guidance from your line manager and your Key Potential Expert (trainee manager). If you are looking for additional guidance you can ask a Senior Manager to mentor you. They will coach you, inspire you, introduce you to their network and share their knowledge and insights with you.
Our Analytics trainee
- Has a university Master's Degree with strong mathematical background for example: Computer science, Statistics, Econometrics, Mathematics, Ops research, Engineering, Science or other related technical discipline.
- Has experience with building models in code using quantitative techniques and programming languages like Python, R., Scala, C++, Java, SAS/Matlab and open source software; testing and validate data models and data processing and use of visualization tools.
- Has knowledge and experience with Machine Learning
- Has a strong command of the English language.
- Understands the economic landscape & banking industry.
- Is a data lover, willing and able to learn and to improve technical and interpersonal skills.
- Is creative and curious.
- Is a team player who strikes effective balance between independence and acting in the interest of the team.
Do you have what it takes?
When applying for the Analytics traineeship October 2020, carefully check the dates of the selection round below (HR interview and Business Panel). So if you are sure you are what we are looking for, go for it!
Deadline for your application: 10 May
HR Interviews: 25 May - 29 May
Business Panels: 15 June - 19 June
Deadline for your application: 14 July
HR Interviews: 3 August - 7 August
Business Panels: 17 August - 21 August
Please note that you will receive a Data Science case to prepare for the Business Panel. When you receive positive feedback after your HR Interview, we will provide you with this case. You’ll have approximately one week to prepare.
Upload your complete application: CV, motivational questions and grade lists (Bachelor and Master till now) in English.
Please note that the results will remain definite for a future application for one of our traineeships. This means that you cannot apply again after not passing a step in the procedure.