As a Senior Data Scientist Transaction Monitoring you can have social impact by detecting criminal behavior using analytics models to analyze Rabobank transactions of 8+ million customers.

You and your job
Preventing Money Laundering & Terrorist Financing is one of the key aspects for our society and our organization, 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 behavior of our customers in order to uncover illegal activities. Together with the team you will be responsible for optimizing our current rule-based Transaction Monitoring (TM) system and eventually (not on short term) for introducing more advanced analytics methodologies such as Machine Learning into our TM models.

This job requires statistical know-how, an analytical mindset and pragmatic operational expertise. And if done successfully, you 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 other words, in this role you will be on the front line of fighting financial crime.

Practical Examples
Develop, analyze and build rules in multi-disciplinary teams for our TM models that successfully uncover patterns related to illegal activities.
Identify the use of new data sources in the rule-based models and how to implement this, while working closely with functional experts to make the appropriate model choices.
Discuss (long term) ideas with higher management, using your excellent overview of our entire TM analytics landscape and your substantial experience with bringing analytics models to production.

Top 3 responsibilities

1. Carry responsibility for (large parts of) our data science model(s), including model design, high quality code and alignment with adjacent fields (IT, Architecture, Business) to realize robust road to production for our data science model(s) and assure its functionality.
2. Anticipate and identify potential future challenges from model choices and ensure the team tackles challenges in the best way possible (e.g., by leading a brainstorm or by proposing the solution yourself).
3. Support your medior and junior colleagues to use best practices and follow the same way of working across the entire team.

Harde eisen:

• Academic degree (MSc / Phd) in Data Science, Econometrics, Mathematics or a related field.
• 5+ years experience in advanced analytics / modelling / artificial intelligence activities (ideally with large data sets) working with Python, PySpark and Spark (Azure Databricks experience is a plus).
• Proven success in bringing analytics models to production.
• Excellent verbal and written communication skills in English.

Wensen

• Motivated 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 models.

Competenties

• Structured, precise, communicative, can work well with different people and roles, pro-active, have a business focus and can-do mentality to make the difference in fighting financial crime.
• Thrive in a high-impact, dynamic and high-paced environment (experience with Agile working is a plus).

Opdrachtgever: Rabobank

Preventing Money Laundering & Terrorist Financing is one of the key aspects for our society and our organization, and as a bank we play a major role in this field.

Optie tot verlenging: 12 maanden met mogelijkheid tot verlenging bij geschiktheid, graag zelfs

Hybride: Vaste kantoordagen: maandag en donderdag

Aantal professionals of FTE: 3 personen

Overig algemeen:

STAAT OPEN VOOR ADMINISTRATIEVE REDENEN

Deze opdracht valt binnen schaal 10 van de CAO Rabobank.

Voertaal: Engels, NL is niet verplicht

Administratieve partner: administratieve partner