During our two-year programme you create your own career within Analytics. You learn more about your chosen discipline and the financial services sector. Our trainee programme also allows you to discover yourself through a wide selection of (online) professional and personal skills trainings.
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 trainee manager will assist you in choosing your first rotation which lasts approximately six months. 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.
You will also receive guidance from your line 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.
You are in charge of your second assignment. Now it comes down to addressing your network and taking the initiative. We encourage it to gain international experience during this six-month period, which is not only great fun but is also good for your personal and professional development, if possible with if possible with local Covid-19 restrictions.
Besides being given the opportunity to put your talent to good use where it really matters, you’ll participate in a global training event with all trainees from your year, which will also enable you to quickly build up a large network.
There is more, to give you an idea, we will tell you about the other benefits of working at ING:
Excellent base salary;
13th month salary;
8% Holiday payment;
216 hours of holiday per year based on a 40 hour working week;
Laptop and budget to purchase a (work) phone;
NS business card or travel allowance;
Impressive training package;
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.
When applying for the Analytics traineeship April 2021, remember to upload your complete application: CV, motivational questions and grade lists (Bachelor and Master till now) in English. if you are sure you are what we are looking for, go for it!
The first interview round (HR interview) will be scheduled as soon as you pass the three part assessment.
Before the second interview, 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.
The second interview round (Business Panels) will be held in the following weeks:
Week 50 or week 51
We have a limited amount of traineeship positions per traineeship, so we encourage you to apply as soon as possible!
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 either our assessment or interview stage.