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Chapter Lead Data Science & Rule writing Fraud Detection in Amsterdam


We redefine banking. What about you?

We at ING are pioneers. Our end goal is to unite ING and to achieve a single and best-in-class experience for all customers worldwide. In order to unite, we decided to build a leading European banking platform first, starting with two of our home markets: Belgium and the Netherlands. The Tribe Fraud & Cybersecurity is a cross border Tribe.

Do you want to make a concrete contribution to innovative solutions that detect and minimize fraud? And ensure that any customer can easily and safely access his banking? Then the role of Chapter lead Data Science & Rule writing Fraud Detection is something for you.

We believe ING plays an pivotal role in protecting our society: in a changing and uncertain digital world we provide peace of mind by ensuring ING is the safest bank. Confidence in the brand of ING, to secure data and services, is the foundation of our existence. So therefore our purpose is:

We as Tribe Fraud & Cybersecurity enable society to do banking in a safe and easy way. We protect your financials by being the best in fighting fraud and combatting cyber threats.

For years, ING has been a step ahead when it comes to innovative solutions for safe banking. We ensure that customers who are victims of fraud and who are entitled to compensation, receive the money in their account within a day. Just to mention something. We really do everything we can to make banking even more secure in a customer-friendly way and we want customers to experience this every day.

And this is also reflected in our fraud figures. So work with real impact. In order to remain a leader in this regard in the coming years, we work with people who are creative, have a sense of IT and who put their ground breaking ideas into practice every day.

Would you like to work for a bank where honesty, integrity and responsibility are valued? Are sustainability, caring for others and thinking ahead part of your DNA? Do you want to make the difference for our customers thanks to our agile way of working? Then continue reading because ING might very well be your future employer.

Your role & work environment

Within our Tribe Fraud & Cybersecurity you will work as a chapter lead Data Science and Rulewriting, a chapter focused on delivering best in class fraud detection rules and models. In this role you will contribute to ING being the safest bank and a leading player in the area of fraud and cybersecurity.  The environment and challenges we face in the field of fraud and cybersecurity change on a daily basis, with uur goal being to always be one step ahead.

The models and rules we build here are not purely an academic exercises. Instead they are modified and brought to production on a daily basis in order to perform real-time fraud detection in all channels of ING, including cards, online banking and mobile banking. Data analysis and machine learning is applied for developing, maintaining and improving these rules and models. With every new iteration and every new insight we make the bank safer and protect our customers from fraud. It is on you to ensure the people in your chapter are well equipped and work as a high performing team to take on this challenging tasks.

Your key responsibilities

A Chapter lead role splits her/his time 50-50 over doing Data science/Rulewriting work themselves and leading a chapter. Your key responsibilities as a chapter lead include:

1. Hierarchically overseeing a chapter of 12-15 data scientists and rulewriters. This covers the recruiting of new talents, personal development and evaluation of your Chapter members. You inspire and encourage your Chapter members to develop themselves, provide them coaching on both the professional as well as the personal level. You stimulate the Chapter members towards continuous improvement of their skills and expertise;

2. Developing individuals and teams and maintaining a high level of performance, taking into account that as a cross-border tribe teams can work at different locations and countries.

3. Being an ambassador for cultural change and a role model in terms of the new Agile Way of Working: ensure continuous learning based on feedback, taking into account the different backgrounds of people across cultures and geographies;

4. Maintaining a vision on developments within the fraud and cybersecurity domain, especially with a focus on real-time fraud detection. You share these developments within the chapter to ensure the continuous learning;

5. You take an active role in the development and execution of our fraud detection roadmaps. Aiming to say one step ahead of fraudsters. Now and in the future.

In your role as data scientist and rule writer your key responsibilities are developing and maintaining fraud detection models.  In particular, you will help setup a data science workflow to roll out fraud detection models on our Spark/Hadoop platform. Additionally, you will analyze modus operandi, do reporting, create impact analyses and advice on fraud detection and prevention.

Candidate Profile

MSc or PhD with excellent academic results in the field of Physics, Mathematics, Computer Science, Artificial Intelligence or similar. Strong analytical skills and affinity with IT. You are fluent in English, fluency in Dutch or French is a plus.

You understand and are comfortable with applying machine learning and developing statistical models. Furthermore, you see how you can apply these methodologies in an online real-time environment. We are looking for people with exceptional talents and capabilities!

Who are we looking for:

  • An energetic Chapter Lead who is eager to work at Fraud & Cyber ​​Security.
  • You are able to make complex matters simple with colleagues in your chapter and you have the overview and the vision to determine the direction of the Tribe with others.
  • You also get energy from team developing and transferring your expertise to others and you get a lot of satisfaction from coaching (both professionally and personally) of 12-15 Chapter members to bring out the best in themselves.
  • You are willing to travel occasionally.

Specific knowledge, experience & skills:

As a Chapter Lead data science and Rulewriting in fraud detection it is important to have an understanding of and experience with most of the below:

  • Machine Learning:  A grasp of the workings and applicability of popular machine learning algorithms; e.g. Random Forest, Neural Networks, Support Vector Machines
  • Programming Languages: Python, SQL, SAS
  • Tools: Jupyter/Zeppelin, Spark, Hadoop, MapReduce, RiskShield.
  • Domain knowledge : Knowledge of the cybercrime/security, banking sector and fraud is a plus.
  • Rulewriting: Creation of elaborate and effective fraud detection rules.

More generally we look for a colleague with a talent for taking it on and making it happen, enthusiasm for helping others to be successful and a knack for always being a step ahead. In other words, you strive to bring fresh ideas to life and embrace challenges in a fast changing and complex environment. You are a naturally collaborative person who listens and invests in others to achieve common goals. You love to challenge the status quo and are eager to propose and build creative solutions to problems.

If you recognize yourself in the above, we are very much interested in meeting you! In your motivation letter we would like you to answer the questions below:

1. What do you believe are the biggest challenge(s) in applying machine learning techniques in the domain of fraud detection?

2. What are your ideas on dealing with these challenge(s)?

What do we offer you?

- A 36-hour working week

- The function is classified in function scale 12

How can you apply?

Are you enthusiastic? Then click on apply. You can express your interest through a letter of application in which you state why you are ideally suited for this position. We would also like to receive your current CV.

More information?

If you have any questions about the role of Chapter Lead within the Tribe Fraud & Cyber ​​Security, please contact Jaco Struik, Product Area Lead Fraud Detection.

We are looking forward to meet you!

Extra informatie

Fulltime (ervaren)

Amsterdam | ICT / IT / Programmeur | Fulltime (ervaren)

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