Data scientist
- Rabobank Gruppe
- Utrecht
- Banking
- 3 maanden geleden
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.
- 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
- 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 withdifferent 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.
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
- We will hold the interviews face to face or through a video call.
- 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.
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Applying In 5 steps
We'd like to get to know you.
Step 1 Applying
Thanks for applying! We consider all the CVs and covering letters that we receive. After the closing date, you will hear from us as soon as possible.
Step 2 First interview
Usually you’ll be meeting with your (potential) team leader and an immediate (future) colleague. We are keen to get a sense of whether you are a good fit for the position and our team. And you probably have a lot of questions too.
Step 3 Second interview
We want to speak to you a second time. In this online meeting, we will delve deeper into the details of what the job entails. Another colleague will often join the interview too.
Step 4 Offer
If you are a good match for us and we’re a good match for you, then you’ll receive a good offer by email. Some positions require you to undergo further assessment first.
Step 5 Screening
We assess whether you are trustworthy enough to work for Rabobank in a screening process.
I approve Rabobank to retain my details for 1 year for future applications.
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