This Dutch Bank is a cooperative bank with over 8,5 million customers. Through large and small initiatives, the bank aims to make the world a little bit better. They support local enterprises and larger non-profit organisations and thus contribute to the welfare and prosperity of the community.  As a Data Scientist Transaction Monitoring you can have social impact, by catching the criminals using analytics models to analyze Rabobank transactions of 8+ million customers. 

Beschrijving

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 dor the bank. 

Top 3 responsibilities:

• Carry responsibility for (parts of) the data science model(s) in one of the key areas within Tribe FEC Tech;
• Contribute technically and functionally to our model components: design and implement features, implement new functionality, tackle performance issues;
• Function as counterpart for stakeholders in the team (non-data scientists) and outside the team.  

We believe in the power of difference. Bringing together people's differences is what makes us an even better bank. So we are very curious about what you can bring to our team in the Tribe FEC Tech.  “Our team combines expertise in fighting financial crime with the power of data to build a robust, efficient detection system. As data scientists we are responsible for building and optimizing the models used to detect criminal behaviour. This is a growing, dynamic team perfect for any data scientists looking for opportunities for learning and creativity.” 

Functie eisen

• Academic degree (MSc / Phd) in Data Science, Mathematics, Computer Science, Econometrics or a related field;
• 2+ years (medior)’ experience in advanced analytics / modelling / artificial intelligence activities (ideally with large data sets) working with PySpark (requirement), experience with Spark and Azure Databricks is a plus;  
• Excellent verbal and written communication skills in English;
• Structured, precise, communicative, and can work well with  different people and roles;
• +6 months experience within financial services industry (insurance company’s, bank etc.)    
• Experience in transaction monitoring and FEC (preference). 

Nice to have:

• Thrive in a high-impact, dynamic and high-paced environment;
• Be pro-active, have a business focus and can-do mentality to make the difference in fighting financial crime;
• Motivation to catch criminals by making our TM system more effective; in other words, you are motivated to build models that realize measurable impact for the bank, not necessarily to build the most complex advanced analytics model.  

Gross monthly salary: max. €8.250 based on experience.
The assignment will be until 31-12-2024.