Data Scientist

You and your Job:
Preventing Money Laundering & Terrorist Financing is 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 to uncover illegal activities.

You will be responsible for optimizing our current W&R (Wholesale & Rural) Transaction Monitoring (TM) system and ensuring it is future proof by introducing more advanced analytics methodologies. Our model is in ongoing development and new (computationally intensive) functionality is being added. For W&R FEC Tech, we strive to redesign our complete TM system following an existing set-up at Retail NL side (a Python based solution, including a data model, scoring model, and alert generation model). Your responsibility would be to contribute to the afore mentioned components for W&R and integrate them with the existing components in Retail NL. The challenge is not solely a technical assignment; working in the context of transaction monitoring requires you to thoroughly understand the functionality of the model, its components and the business.

The candidate will collaborate in the team to help contribute to delivering the following results:

• Build new functionality into our data model while continuing to combine all (30+) data sources required for Transaction Monitoring in a computationally efficient way. Our sources
• contain event data (e.g., transaction data and logging data) and enrichment data (e.g., customer data)
• Increase the coverage of our detection model based on (newly) defined scenarios. You will examine the data, patterns and behaviour of our customers to uncover illegal activities related to risk scenarios, align with stakeholders on the results and implement the final solution into our detection model
• Ensure the model component design enables Rabobank to comply with all regulatory, audit and other internal requirements
• Set-up the model components to function as solid building blocks that can function on their own, and can be leveraged by other (FEC/TM) projects as well
• Ensure the computational performance of the Transaction Monitoring solution is sufficient for daily batch scoring and for one-off runs on multiple years of data

Our ideal candidate:

• Is motivated to work on models that realize measurable impact (i.e. catch criminals), not necessarily to build the most complex advanced analytics models
• Is structured, precise, communicative, and can work well with different people and roles
• Thrives in a high-impact, dynamic and high-paced environment
• Is pro-active, has a business focus and a can-do mentality to make the difference in fighting financial crime

For this position we require:

• Academic degree (MSc / PhD) in Data Science, Computer Science, Mathematics or any other related STEM field
• Software development skills such as Git, bash scripting and release management and proven success in bringing analytics models to production
• Can identify model improvements and provide statistically significant proof to justify implementation
• A minimum of 3 years of experience in advanced analytics / modelling / artificial intelligence activities working with large data sets
• Excellent verbal and written communication skills in English
• Highly skilled in working with Python and PySpark

Nice to have:

• Experience with Databricks
• Experience with Azure DevOps
• Experience within financial services industry (preferably in transaction monitoring and FEC)

This is what we offer you

• €4.292 to a maximum of €6.130 gross per month, depending on your knowledge and experience (scale 9).
• Thirteenth month's salary and 8% holiday allowance.
• An extra budget of 11 % of your gross salary to be used at your discretion. Buy extra holiday hours, add more to your pension savings or ask for part of the extra budget to be paid out.
• A combination of working from home and at the office.

This is selection of the terms of employment for a Data Scientist  based on a 36-hour working week. You can find all our terms of employment on rabobank.jobs/en/conditions-of-employment.

You and the job application proces

We’ll be happy to receive your application for this vacancy.

• A motivational letter is required.
• Any questions about the job content? Contact: Matthew.Caesar-Gordon@rabobank.nl  Productmanager AML Worldwide via Matthew.Caesar-Gordon@rabobank.nl or 06 - 37 22 94 20
• Any questions about working at Rabobank and the process? Contact Marloes Toma, Recruiter via Marloes.Toma@rabobank.nl
• We will hold the interviews face to face or through a video call.
• Responses will be handled in accordance with vacancy management.
• You can find answers to the most frequently asked questions on rabobank.jobs/en/faq.
• A security check is part of the process.
• We respect your privacy.