Data Scientist Fraud Monitoring

Are you a pioneering data scientist who likes to think outside-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?

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 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!

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.

Required Qualifications and technical skills:

· A master’s degree or PhD in a quantitative field (e.g., Computer Science, Statistics, Econometrics, Engineering, Physics, Mathematics, etc.). · 3 years of independent machine learning development experience, including exploratory data analysis, model experimentation, and collaborating with engineers for model deployment in real-world applications.
· Demonstrated professional experience developing ML models in a big data environment (e.g., Spark, distributed computing frameworks).
· Strong working knowledge of Python, SQL, and Spark.
· Familiarity with MLOps concepts such as lineage, reproducibility, and model monitoring, and experience with tools like MLFlow.
· 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.

Preferred team values:

· A demonstrated ability to innovate and think creatively to solve complex technical puzzles.
· You display persistence and intellectual curiosity to ensure that not only is work complete, but the problem at hand is truly solved.
· 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.

· Flexibility in a hybrid work environment to support strong work-life balance;
· An industry-competitive salary based on a 36 or 40-hour work week;
· A supplementary benefit budget of 11%, which you can spend on pre-tax fringe benefits;
· A personal development budget of EUR 1.000 per year;
· An annual public transportation pass;

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. A solid pension plan.

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.

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.