Geen zzp

Nog enkele highlights:

- Afgeronde master op relevant gebied en 4 a 5 jaar werkervaring als data analyst, data scientist, data engineer
- Ma en do vaste kantoordag in Utrecht, aan de Croeselaan
- Voertaal EN – kennis NL niet nodig (kdd moeten in NL wonen, gezien kantoordagen)

Eigenschappen, zoals: communicatief vaardig, gestructureerd, doorpakker, sámen oplossingsgericht en drive voor kwaliteit zijn onmisbaar.

Er zal 1 gespreksronde plaatsvinden: 45 minuten per kandidaat.
De gesprekken vinden plaats op één van onderstaande momenten:

* Maandag 18 nov tussen 9:00 en 17:00 (niet tussen 12:00 en 13:00)
* Dinsdag 19 nov tussen 9:00 en 11:00 en tussen 13:00 en 17:00
* Woensdag 20 nov tussen 9:00 en 12:00 en tussen 13:00 en 17:00

Graag de kandidaten hierop wijzen, zodat ze hier rekening mee kunnen houden.

Requirements
- Available from 15th of December at the latest (Hard Requirement)
- Academic degree (MSc / Phd) in Data Science, Econometrics, Mathematics or a related field.(Hard Requirement)
- 5+ years’ experience in advanced analytics / modelling / artificial intelligence activities (ideally with large data sets) working with PySpark (Hard Requirement), Azure Databricks experience is a plus.
- Proven success in bringing analytics models to production.
- Excellent verbal and written communication skills in English.
- 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.
- 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).

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
- In a multi-disciplinary team, develop, analyze and build rules (PySpark) 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.

Facts & Figures
- 36 hours per week;
- 40+ other data scientists to collaborate with and learn from;
- 50+ other roles to collaborate with and learn from (e.g., Anti Money Laundering Experts, DevOps engineers, Analytics Translators and more);
- 43,822 Rabobank colleagues around the world.

Top 3 responsibilities
- Carry responsibility for (large parts of) our data science model(s), including model design, high quality , production-ready PySpark 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.
- 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).
- Support your medior and junior colleagues to use best practices and follow the same way of working across the entire team.

Together we achieve more than alone
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. The ~200 people in our Transaction Monitoring team are responsible for detecting money laundering and terrorism financing risks, using analytics models. Working together is the way we work; as 1 multi-disciplinary, highly talented and motivated team at Rabobank. Talking of Rabobank: We are a Dutch bank that operates in 38 countries for over 9,500,000 customers. Together with these customers, our members and partners we stand side by side to create a world in which everyone has access to enough healthy food. In the Netherlands we work to create a country in which people are happy with how they live, work and do business.