Senior data scientist / engineer transaction monitoring

Senior Data Scientist / Engineer Transaction MonitoringFinancial Economic Crime (FEC)

• Hybride
• Utrecht
• Nederland
• 36 uur
• Fulltime

As a Senior Data Scientist/ Senior Data Engineer Transaction Monitoring you can have social impact, by catching the criminals using analytics models to analyse Rabobank transactions of 9+ million customers.

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.
• 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.
• Build a Machine Learning platform and orchestrating workflow of different models (ML Ops).
• Align with platform teams (which put code into production systems).

Facts & Figures

• 40+ other software engineers, data engineers and data scientists to collaborate with and learn from within the same team.
• 30+ other roles to collaborate with and learn from within the same team (e.g., Anti Money Laundering Experts, Analytics Translators and more).
• 44,000 Rabobank colleagues around the world.

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.

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 90+ 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.

You and your talent

• Academic degree (MSc / Phd) in Computer Science, Data Science, Econometrics or another STEM field.
• 5+ years' experience in software development / data engineering / advanced analytics / Machine Learning (ideally with large data sets) 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.
• Structured, precise, communicative, can work well with different people and roles, pro-active, has a business focus, natural curiosity and can-do mentality to make the difference in fighting financial crime. Thrives in a high-impact, dynamic and high-paced environment.

This is what we offer you

• A 36-hour works week with a salary in scale 9 (€ 4292 - € 5811) or scale 10 (€ 5115 - € 6900) depending on your experience. A 40-hour work week is also possible.
• An Employee Benefit Budget 11% of your monthly salary. You decide how to spend this budget.
• Thirteenth month's salary and 8% holiday allowance.
• Personal budget of € 1.400 to spend on activities related to your personal development and career flexible working times and location-independent working.
• Hybrid working (we work 1 or 2 days from the office a week) & flexible working times.

This is a selection of the terms of employment for a 36 hour working week. You can find all terms of employment on https://rabobank.jobs/en/terms-of-employment/.

You and the job application process

• We will conduct the interviews through a video call.
• .
• A security check is part of the process.
• We respect your privacy.

• Traineeship
• Artikel
• Artikel
• Artikel

In 5 stappen

We leren je graag beter kennen.

Stap 1

Sollicitatie

Leuk dat je solliciteert! Wij nemen alle cv's en brieven door. Na sluitingsdatum krijg je zo snel mogelijk een reactie.

Stap 2

Eerste gesprek

Je maakt online kennis met meestal je leidinggevende en een directe collega. We willen weten of je bij de functie en het team past. En jij hebt vast ook veel vragen aan ons.

Stap 3

Tweede gesprek

We willen je graag een tweede keer spreken. Bij dit online gesprek gaan we dieper in op de inhoud van de functie en spreek je vaak nog met een andere collega.

Stap 4

Aanbod

Ben jij de nieuwe collega die we zoeken en word jij ook blij van ons? Dan krijg je een goed aanbod per e-mail. Bij sommige functies moet je eerst nog een assessment doen.

Stap 5

Screening

Tijdens de screening onderzoeken we of je betrouwbaar genoeg bent om voor Rabobank te werken.

Senior Data Scientist / Engineer Transaction Monitoring

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