Deze opdracht valt binnen schaal 11 van de CAO Rabobank. De indicatieve tariefrange ligt tussen de 117 en 127 euro per uur.
Let op: dit is geen minimum of maximum tarief. Alle aanbiedingen worden beoordeeld op basis van een puntensysteem dat prijs en kwaliteit afweegt.

Een deel van de te behalen punten wordt toegekend aan de inschrijver met het laagste tarief. Andere inschrijvingen ontvangen naar verhouding minder punten op dit onderdeel.

Geen ZZP

Vaste kantoordagen: maandag en donderdag
Voertaal: Nederlands, Engels – vloeiend

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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. Within Rabobank we have built a data driven solution that analyses more than 11 million transactions per day to detect customers which launder money or finance terrorists. As behavioural patterns of criminals constantly evolve, our solution needs to adapt and evolve just as quickly. To keep our solution flexible and stable we need smart individuals like yourself who are passionate about building and improving our current Transaction Monitoring (TM) solution. One of the improvements we have identified for our solution is the introduction of more advanced analytics methodologies such as Machine Learning into our TM models.

To keep our Transaction Monitoring (TM) solution up to date to fight financial crime, you are passionate about data engineering, coding, designing and building complex (data) engines and related software infrastructure, solving (technical) performance and data-related functional challenges, helping colleagues to fulfil their (technical) requests and always looking for ways to do things smarter and better. This way you make sure Rabobank will be able to effectively fight financial crime!

Practical examples

- Develop and build scalable components (code bases) that allow for data processing and data generation on Big Data (with PySpark).
- Analyse source and output data to build knowledge and detect potential data-related problems.
- Anticipate potential future challenges of current infrastructure (e.g. performance issues) and together with the team design and implement solutions for these challenges.
- Test and monitor the performance of TM solution.
- Align with platform teams (which put code into production systems).

Top 3 responsibilities

- Carry responsibility for (large parts of) the data and infrastructure of our TM solution, including infrastructure designs, good quality code and supporting your medior and junior colleagues to use best practices and follow the same way of working across the entire team.
- Lead alignment with adjacent fields (IT, Architecture, Data Science) to realize optimal performance of our data science model(s).
- Function as key counterpart for higher management.

You and your talent

Do you: thrive in a high-impact, dynamic and high-paced environment?
Are you: structured, precise, communicative, pro-active?
Can you: work well with different people and roles?
Do you have: a business focus, natural curiosity and can-do mentality to make the difference in fighting financial crime?

Well, you've piqued our interest...now for the hard skills:

- Academic degree (MSc / Phd) in Computer Science, Data Science, Econometrics or another STEM field.
- 5+ years’ experience in software development / data engineering / advanced analytics working with Python and PySpark (Azure Databricks experience is a plus).
- Software development skills and good practices such as Git, release management, unit tests, testing strategy.
- Passionate about building large scale data solutions in an efficient and scalable manner.
- Analytical mindset and a critical way of thinking.
- Excellent verbal and written communication skills in English.
- Motivation to catch criminals by making our TM system more effective.