At a glance

Are you a pioneering data scientist who likes to think out-of-the-box?
Would you like to drive new data science solutions to tackle financial fraud?
Do you want to work with cutting-edge technologies to catch criminals?
 

Your job

As a data scientist, in the Grid Channel Security, you will work together with fraud experts and data scientists to safeguard our customers from criminals. This includes threats such as phishing, account takeover, lost or stolen debit cards, e-commerce fraud, and more.

Your role will encompass analyzing diverse data sources to get actionable insights. This analysis will include, but not limited to, understanding fraud trends across various payment channels, evaluating the potential of different data fields to enhance our fraud detection, recognizing seasonal patterns, and creating reliable forecasts. Your contributions will extend beyond immediate solutions, serving as a catalyst for ongoing improvements in our fraud detection capabilities through model experimentation and the integration of new data elements. In addition to your focused problem-solving efforts, you will be collaborating with others to brainstorm how data science solutions can help us stay one step ahead of criminals in the ongoing cat-and-mouse game.

ABN AMRO is a future driven bank that is working continuously on unlocking the power of data: you will be part of this transformation!

Working environment

Working environment
Grid Channel Security within Corporate Information Security Office (CISO) is responsible for the prevention and detection of payment fraud, and deciding the policy and strategy in the area of fraud. The fraud detection team that you are going to be part of, is a motivated group of colleagues working with a focus on protecting customers. CISO is recognised as having an informal work atmosphere where everyone has a heart for their job and is prepared to help others.

What is in it for you?
· Concrete goal: prevention and detection of fraud
· Work that will have a direct impact for society
· Personal freedom to learn and develop
· A hybrid working environment
· Cutting-edge technologies
 

Your profile

• You have a master’s degree or PhD in a quantitative field (e.g. Computer Science, Statistics, Econometrics, Engineering, Physics, Mathematics, etc.).
• You have 1-3 years of industry experience, working on different aspects of data science – exploratory data analysis, statistics, model development, experimentation, and data visualization.
• You have a strong working knowledge of Python, SQL, and Spark.
• You enjoy solving complex technical puzzles and are value-focused.
• You excel at clearly communicating your work to both technical and non-technical colleagues.

We are offering

• An internal contract for 36-40 hours a week in hay scale 9
• Freedom to get the best out of yourself, flexible work and growth opportunities
• Working in a hybrid way, both from home as well as at the office.
• Good facilities for flexible work from home
• The opportunity to pro-actively work on your vitality and fitness
• A personal development budget of EUR 1.000 per year
• A supplementary benefit budget of 11%, which you can spend on additional fringe benefits
• An annual public transportation pass
   

Interested?

Are you interested? React now online to this opportunity. We are looking forward to hearing from you!

Equal opportunities for all

The success of our organisation depends on the quality of our people and the ideas that they have. Truly surprising insights and innovative solutions for our clients result from an interplay of cultures, knowledge and experience. Diversity is therefore extremely important to our organisation. To ensure that everyone at ABN AMRO can develop their talents, we encourage an inclusive culture in which all colleagues feel engaged and appreciated.

Disclaimer external recruitment agencies

External recruitment agencies need to have a signed agreement with ABN AMRO BANK N.V., executed by a Talent Acquisition Specialist, when submitting a resume to a vacancy. No unsolicited services or offers, please.