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As a data scientist, in the Grid Channel Security, you will work together with fraud experts, data scientists, machine learning engineers and data analysts 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 analysing 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, experimenting with different modelling approaches and enhancements, 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.
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 Monitoring team that you are going to be part of, is a motivated multidisciplinary group of approximately 25 colleagues working with a focus on protecting customers. We work in a hybrid way and our day to day work is organized by the agile and scrum principles. CISO is recognised as having an informal work atmosphere where everyone has a heart for their job and is prepared to help others.
We are looking for a data scientist with strong technical and problem-solving skills, as well as a collaborative mindset. We strongly emphasize that there are no "lone wolves" on our team. You should care deeply about helping your colleagues, mentoring, and coaching where possible, while maintaining a learning mindset.
A master’s degree or PhD in a quantitative field (e.g., Computer Science, Statistics, Econometrics, Engineering, Physics, Mathematics, etc.).
5 years of independent machine learning development experience, including exploratory data analysis, model experimentation, and collaborating with engineers for model deployment in real-world applications.
An understanding of the full data science lifecycle and an ability to make trade-off decisions around key concepts such as sampling, cross-validation, model evaluation metrics, and feature engineering.
Experience working in a professional software development environment, such as appropriate use of Git, code reviews, code packaging, and orchestration of jobs.
Strong technical communication skills; capable of presenting data science work to either business or highly technical stakeholders. You should see the value in technical documentation.
Project management skills: you understand how to scope modelling projects. You have experience working in an Agile environment.
You are proactive in solving problems; reaching outing to stakeholders as and when necessary, ask for reviews or brainstorming sessions with your team, suggesting new ideas to solve existing problems.
In addition to meeting the above requirements, please write a one-page cover letter describing how your experience meetings the required qualifications and describe a few scenarios where you have demonstrated our teams' values.
We are offering
We believe it is important to be a good employer. Joining us means stepping into a role with impact, supported by excellent employment conditions that foster your job satisfaction, development, and wellbeing.
Flexibility in working: working from home is possible in consultation with your team and depending on your role. We will provide an ergonomic home office setup for you.
Plenty of room for relaxation with five weeks of vacation per year, supplemented by two mandatory days off. You can also purchase up to four additional weeks of vacation annually.
Does this opportunity sound like something you’d be interested in? Please send us your application as soon as possible. We look forward to meeting you.
Your Future: Inclusive, Innovative, Sustainable
At ABN AMRO, we believe in "Banking for better, for generations to come." Equal opportunities for everyone are a crucial foundation, as we strive for an inclusive culture where all employees feel seen, heard, and valued. Our vision of being a personal bank in the digital age aligns perfectly with the demand for surprising insights and innovative solutions, born from a diverse interplay of cultures and experiences. We focus on customer experience, sustainability, and building a future-proof bank, conducting annual reviews to ensure equal pay for equal work. Join a bank that embraces ingenuity and ambition, and make an impact with us for a better future.
If you want to apply for the B-Able or Reboot program, make sure to mention it both in the title and the content of your resume.
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.
Use of AI in our application process
You’re welcome to use AI to help write your CV or cover letter, as long as it reflects your own story. We review every application personally and without AI. During interviews, real time AI tools may not be used. With your permission, interviews can be recorded and supported by AI. This helps us keep the process fair, careful, and transparent.
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