43% dintre companiile mari din România prevăd creșterea numărului de angajări în 2023
ING International Talent Programme– Analytics Track @ING Hubs Romania
|Employer:||ING Hubs Romania|
ING Hubs Romania is ING Group's global hub for technology providing over 150 services for 24 ING units globally. The services we are delivering fit into four main categories: software development, data management, non-financial risk & compliance, audit.
Established in 2015, our focus has been on building strategic key capabilities, such as developing and continuously improving common IT solutions that can be shared, replicated and reused across the other ING entities.
Now, in 2022, our fast-growing organization gathers more than 1300 high-performing engineers and non-financial risk & compliance specialists that work together in global tribes.
What we`re looking for:
You have a Bachelor’s/Master’s degree from a university, preferably in Mathematics, Informatics, Econometrics, Computer/Data Science, Information Management or Statistics.
Excellent English written and verbal communication skills
Understanding & views on economic landscape & banking industry
You are passionate about data analytics & statistics;
You are enthusiastic and consider the interests of our customers and your colleagues;
You have an innovative take on banking and an unconditional drive to turn your ideas into reality;
You are interested to learn more about banking/finance;
You act with integrity and responsibility;
You have a maximum of 2 years of professional experience.
Extra-curricular activities (such as board or committee experience, volunteer work, internships) to prove your leadership development and affinity with the track you applied for
Natural interest in sustainability/ ESG- Environmental- Social - Governance
Areas of development
Know ING strategy, learn the basics of banking in a broad perspective, and the environment we are operating in.
Learn how to lead, communicate and collaborate.
Gain specific expertise in the trainee’s chosen track.
We want to be a banking leader in building a sustainable future for our company, our customers, society and the environment. Therefore we give the opportunity to be a pioneer in defining new ways to do business.
About ING International Talent Programme (ITP)
Joining the ING International Talent Programme (ITP) means you have the chance to play a part in leading the change ING wants to make. During the two-years, you will learn more about your chosen discipline and the complex IT environment within ING. The wide selection of trainings also allows you to discover yourself and better prepare your strengths.
Your journey as a trainee:
The banking industry is evolving and there has never been a more interesting time to be part of it.
At ING Hubs Romania we are a team of engineers developing software solutions for various countries across ING. The projects we develop impact millions of clients worldwide and enable the digital transformation of ING. We are working in an agile environment, we value proactive individuals with a can-do approach to problems and who put their curiosity to work in broadening their knowledge and skills.
Do you want to unleash the power of data to redefine banking?
As an analytics trainee, you’ll use your passion for data to build models and write algorithms that make banking better, smarter and more personal. Your work will have a direct impact on people in over 40 countries worldwide. Join us in driving change and progress.
Does data excite you?
Are you inspired by its potential to reshape banking, based on people’s own personal wants and needs?
Your analysis and insights can have impact in countless different ways and across all areas of our business: financial, risk, customer interaction, product development. Data is indispensable when deciding on our pricing strategy, for example, and when analysing and predicting risks with the help of intelligent models. And it drives innovation. It’s the logical starting point for progress.
If you’re excited by the possibilities of working with extremely large volumes of data – think of our millions of customers worldwide – we’re excited to hear from you.
Your ITP rotations:
In your first year and a half of the program you`ll explore different areas within ING. You’ll have the chance to start your journey as a Junior Data Analyst or Data Scientist and you will continue to develop in this area. During this year and a half , you will have three rotations. The second rotation you will have the opportunity to work abroad for six months with one of your projects. As we are a company with a presence in many countries across the globe, you could spend this time in Singapore, US, Poland, Australia or Spain.
What makes this traineeship awesome:
This is a comprehensive programme that provides talented graduates with the knowledge, skills and on-the-job experience to become ING’s future leaders. We offer you the chance to shape your own ideas about banking in a receptive environment.
The program is truly international with over 100 trainees in 14 different countries. For each year of the programme there will be a global event designed as a bootcamp to develop your personal skill in the process.
What we offer:
Global events. Access to yearly 2-3 weeks global events with other ING International Talent Programme talents from all around the world (you will mainly be in Bucharest in the first 18 months).
Job rotations. Insights in various business units during the first 18 months and work abroad into one of our ING countries for 3 - 6 months. (if circumstances allow)
International onboarding. Following your local onboarding introduction, you will fly to our headquarters in Amsterdam for a two week-long international onboarding event. (if circumstances allow)
Trainings & learning experiences in different business lines to boost your knowledge and skill set.
Mentoring. Experienced ING executives will support your personal and professional development through regular feedback and coaching.
Specialized job. After 18 months of job rotations, you will start in your first dedicated assignment in data area.
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