ING’s goal is to enable people to “do their thing” and empower them to stay a step ahead in life and in business. We are one of the largest banks in Europe and we continuously evolve to become one of the most innovative companies in the banking sector. The ING Analytics group is a major driving force in ING’s transformation, aimed at helping us to become a data-driven organization, where advanced analytics is at the heart of our business processes.
The team
In our tribe COOA, we apply analytics & AI solutions for the Financial Crime & Fraud domains and create advanced analytics applications and models. These models are used to mitigate and to effectively tackle the risk of financial crime for our customers and our society, making us a safer and more compliant bank. Our group consists of data scientists, engineers, data analysts, and customer journey experts, working together to deliver innovative solutions in our domain across multiple countries.
As we continue our growth and establishing the added value analytics bring to our domains, we seek to a senior data science profile to:
Develop an expertise in applying machine learning for classification, outlier detection, representation learning, entity resolution, and network & graph applications.
Adopt best practices and quality standards for developing & deploying fit-for-purpose model pipelines, addressing the requirements of the ING model governance.
Be an effective member of a model development & implementation squad, challenge the status quo and build what matters.
Actively learn about our domain, reach out to our stakeholders, and tell captivating stories with our data to create a journey that makes our bank and our society safer.
Roles and responsibilities
For this role we are looking for the following:
You have at least 5 years of (global) work experience in the Data Science space (methods, technology, data) including statistical modelling and machine learning experience to solve business questions and/or develop (innovative) data driven products
You have excellent communication skills and you can explain complicated subjects clearly
You like to work in a dynamic environment
You can work collaboratively in a semi-remote, globally distributed team.
Your enthusiasm is visible, and you are good with mobilizing people for our data driven purpose
You are motivated to keep on top of the latest developments
You have extensive knowledge of a wide range of machine learning algorithms, ranging from more classical machine learning models to cutting-edge neural networks and are able to match them to business problems
You are able to see where ING can set further steps towards becoming a truly data driven bank. You’re always thinking one step ahead, for example in advising about the best way of implementation.
You are a team player who strikes effective balance between independence and acting in the interest of the team
How to succeed
We hire smart people like you for your potential. Our biggest expectation is that you’ll stay curious. Keep learning. Take on responsibility. In return, we’ll back you to develop into an even more awesome version of yourself.
MSc or PhD with excellent academic results in the field of Computer Science, Mathematics, Engineering, Artificial Intelligence, Econometrics or similar.
You have an excellent understanding of Machine Learning and Statistics.
Strong Python programming skills, Apache Spark, Git. Experience in software engineering is a pre.
Rewards and benefits
We want to make sure that it’s possible for you to strike the right balance between your career and your private life. Find out more about our employment conditions.
The benefits of working with us at ING include:
25-28 vacation days depending on contract
Pension scheme
13th month salary
8% Holiday payment
Hybrid working
Personal growth and challenging work with endless possibilities
An informal working environment with innovative colleagues
About us
Curious about how ING empowers people and businesses to move forward?
Discover what we do and what we can offer you.
Questions?
Contact the recruiter attached to the advertisement. Want to apply directly? Please upload your CV and motivation letter by clicking the ‘Apply’ button.