Preventing Money Laundering & Terrorist Financing are 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 in order to uncover illegal activities. Together with the team you will be responsible for optimizing our current Transaction Monitoring (TM) system and eventually for introducing more advanced analytics methodologies such as Machine Learning into our TM models.
As you can imagine, doing this job requires statistical, investigative and operational expertise and if done successfully, 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 summary, in this role you will be on the front line of fighting financial crime.
As a TM Data Scientist you:
Use your extensive Python experience to build transaction monitoring detection rules (experience with PySpark not required, but a strong plus).
Are experienced in working with large data sets (as you can imagine, years of historic transaction data does not fit in an excel file).
Identify model improvements and provide statistically significant proof to justify implementation (e.g., using decision trees to identify statistically significant features to use in deterministic rules).
Liaise with multiple stakeholders within the RetailNL domain globally. Such as IT, Business, Compliance and Operations within all regions to ensure effective management of requirements by actively seeking solutions related to building and improving the global AML/CTF solution.
Are motivated by making our TM system more effective to catch criminals.
Combine a pragmatic approach to realize quick wins with a long term vision on further improving the model tuning methodology.
Translate regulatory and procedural requirements around tuning (and back-testing) into a methodology and way of working that fits within the existing system and processes.
We do this together
Collaboration is the way to go. Our Area global Transaction Monitoring is responsible for digitizing and innovating KYC processes. We form a diverse team with a lot of drive to deliver impactful and innovative results and are proud of the concrete results we have achieved in a short period of time.
You will work together across the KYC value chain with; Operations; Compliance; Legal and many more. Many different people are required to achieve success across KYC, a huge challenge which we are energized to achieve together!
Business focus, pro-activeness, solution-orientation, stakeholder management capabilities and stress resistance are clearly essential for the role of TM Data Analyst. In addition, it's important that you recognize yourself in the checklist below:
Academic degree (MSc / Phd) in Data Science, Mathematics or a related field;
2+ years’ experience in advanced analytics / modelling / artificial intelligence activities working with Python (PySpark a plus);
You have excellent verbal and written communication skills; in English (and Dutch);
Understanding of banking processes, products and clients is preferred.
Accreditation or certification in FEC, FATCA, CRS, ESR or AML expertise or otherwise
knowledge of (inter)national risk and regulatory developments around AML/CTF is preferred.
Growing a better world together
You'll already be aware that Rabobank is a financial services provider for 8.5 million customers in 40 countries. But did you know that we are also working to make the world a better place? We do so in countless ways, such as:
Every year we invest heavily in Dutch club life. We support about 1,250 organizations in sports and culture that are a second home for many people.
In a project with Humanitas we help people who have financial problems to get their home administration in order.
Do you want to become the ideal version of yourself? We would love to help you achieve this by focusing firmly on your growth, development, and investing in an environment where you keep learning every day. We give you the space to innovate and initiate. In this way, we offer you numerous opportunities to grow and help you exceed your expectations, to do the right thing exceptionally well, and to therefore grow as a professional. In addition, with us (on the basis of a 36 hour working week), you can expect:
A gross monthly salary between € 3,769.74 and € 5,384.14 (scale 9) - based on your educational background, knowledge and professional experience.
A thirteenth month and holiday pay.
An Employee Benefit Budget (10% of your monthly salary). You decide how to spend this budget. This may include purchasing extra leave days, making extra pension contributions or even receiving a monthly cash payout.
A personal budget that you can spend on activities related to your personal development and career.
Flexible working times and location-independent working.
100% reimbursement of commuting costs if you travel by public transport! Do you still prefer to travel by car or motorbike? Then choose a commuting allowance.
A pension scheme, to which your contribution is only 3.5%.
Are you the person we're looking for? Are you ready to join us as a TM Data Scientist to make a difference to yourself, our customers and to society? We look forward to receiving your application for this vacancy in Utrecht.
Good to know:
Apply via the “Apply now” button. Responses will be handled in accordance with our vacancy management policy.
If you have any questions about the specific details of this position, please contact Lieke Holscher via email@example.com
Laura Engels, Corporate Recruiter, would be happy to answer any questions about the application procedure via firstname.lastname@example.org.
The application process includes screening. Based on the screening procedures in place at Rabobank, we assess whether new staff are reliable enough to work at Rabobank.
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