Please note that we are not taking any more applications into considerations for cycle 1! If you submit your application now you will automatically be taken into consideration for cycle 2.
Allow your talent to flourish and enjoy the best experience in our Analytics traineeship.
Our Analytics traineeship enables you to steer your career in a direction that suits your talent and passion. The2 year programme allows you to discover yourself through a wide selection of (online) professional and personal skills trainings
Make an impact as a trainee
It all starts with data – but also with the people who know what can and may be done with it and how data can be used for the customer’s benefit.
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 year
Your HR trainee manager will assist you in choosing your first rotation based on your own interest and learning goals. This rotation lasts approximately six months.
For example, Financial Crime & Regulatory Tech. How can we ensure ING is an even more secure and more compliant bank? Or, Working on people analytics for HR.
During your first rotation you also work together with fellow trainees from other tracks on a group assignment to tackle a challenge that is relevant to our business. This gives you the opportunity to expand your network within ING and practice your stakeholder management skills.
With these new experiences and contacts, you are in charge to arrange your second rotation. Now it comes down to addressing your network and taking the initiative. We encourage it to gain international experience during this six-month period,( if possible with local Covid-19 restrictions) which is not only great fun but is also good for your personal and professional development.
Your second year
After two rotations, you now have a better understanding of which direction you would like to go and are ready to choose your third rotation. Are you broadening your knowledge within your track, or would you like to explore a business area within another track?
During your third rotation you’ll start networking for your fixed position. This permanent role lets you go deeper into the field of operations and change right from the start. You expand your knowledge and hone your skills, while working on your further development as a Data Scientist, Data Modeler or Data Engineer.
Training and Coaching
As a trainee there will be many opportunities to discover and develop yourself. Your HR trainee manager coaches you during your three rotations. For extra guidance you can reach out to your line manager or ask a senior manager to mentor you. During the second year of your traineeship you’ll also benefit from a few personal sessions with an external coach.
During your traineeship, you participate in two Global Trainee events focused on professional and personal skills together with all ING’s trainees – across all tracks – from around the world. On top of this, throughout the year various virtual trainee days are organized where you’ll learn about ING and work on your professional skills.
Besides many opportunities to grow personally and professionally there are more benefits to 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; Virtual Quarterly training days, Two training courses of your choosing;
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 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!
HR interviews: May 25th – May 28th
Business Panels: June 7th – June 11th
HR interviews: July 12th – July 15th
Business Panels: July 26th – July 30th
HR interviews: August 9th – August 12th
Business Panels: August 23rd – August 27th
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.
We have a limited amount of positions for this traineeship and we will close the vacancy when we have hired enough trainees for October 2021. This means particular traineeships might not be open for multiple cycles.
Click on the following links to find out more about the and the .
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.
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