Data scientist TM Amsterdam

Vacature in het kort

In our society, stopping money laundering and terrorist financing is very important. We are looking for smart people who love to look at data and find illegal activities. You will help make our Transaction Monitoring system better and might use advanced things like Machine Learning later. This job needs skills in statistics, investigation, and operations. You will help make sure our team focuses on the most important alerts. You will find ways to improve our models, share your findings, and work on meeting rules in the best way for our bank. Read on to discover what challenges await you.

Volledige vacaturetekst

Preventing Money Laundering & Terrorist Financing are one of the key aspects for our society and our organisation, and as a bank we play a major role in this field. In order to be effective in fighting financial crime, we need smart individuals like yourself who get their energy from looking into data, patterns and behaviour of our customers in order to uncover illegal activities. Together with the team you will be responsible for optimizing our current Transaction Monitoring (TM) system and eventually (not on short term) for introducing more advanced analytics methodologies such as Machine Learning into our TM models.

As you can imagine, doing this job requires statistical, investigative and operational expertise and if done successfully, will make sure that our analysts are able to focus on the true positive alerts – hence spend their time on truly value-adding activities. In summary, in this role you will be on the front line of fighting financial crime.

As a Data Scientist TM you will:

• Identify model improvements and provide statistically significant proof to justify implementation.
• Present your results and think together with the stakeholders how to improve which alternative analyses to perform.
• Translate regulatory and procedural requirements around tuning (and back-testing) into a methodology and way of working that fits the corporate bank.