Senior Data Analyst

This is what we offer you

• Thirteenth month's salary and 8% holiday allowance
• 10% Employee Benefit Budget
• EUR 1,400 development budget per year
• Hybrid working: balance between home and office work (possible for most roles)
• A pension, for which you can set the maximum amount of your personal contribution

A salary in scale 9 or scale 10 could be applicable to this vacancy. This is highly depending on your experience and a comparison with the peers working in the same role which is further determined in the interviews.

You and your job

As a Senior Data Analyst Transaction Monitoring you provide data insights about the Rabobank transactions of 8+ million customers to your colleagues, enabling them to make data-driven decisions in catching criminals.

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. To be effective in fighting financial crime, we need smart individuals like you who get their energy from looking into data, patterns, and behaviour of our customers to uncover illegal activities. Together with the team you will be responsible for providing data insights about our current Transaction Monitoring (TM) system to enable further optimization of the system.

As you can imagine, doing this job requires both technical and analytical skills as well as visualization and communicative expertise. If done successfully, our operational 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.

Top 3 responsibilities

• Create and improve pipelines for tuning, lookbacks and impact analyses. For these pipelines we need to combine different complex TM model components in a smart and efficient way.
• Performing analyses from start to finish: doing the intake, writing your code, visualizing the insights and presenting it back to the stakeholders.
• Designing and developing dashboards from front-end to back-end in production which enables rule tuning, rule development and getting insights in our daily detection.

Practical Examples

• Estimate the impact of proposed changes to parameters in the TM model on the efficiency of the model.
• Dive into the data to answer business questions such as: what is the improvement in risk coverage over the past year? And what are the reasons for this?
• Build dashboards and bring them to production by collaborating with our platform squads. Examples of dashboards we are currently working on:
• a TM rule performance dashboard such that it will be easier to optimize the rules of our TM system;
• an overview dashboard that will give more insight in our TM system
• a transaction dashboard that can be used to develop new TM rules

Facts & Figures

• 43,822 Rabobank colleagues around the world
• 9.5 million customers with transaction data to analyze

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 in the Tribe FEC Tech. The 80+ people work on our Transaction Monitoring model which detects money laundering and terrorism financing risks. Working together is the way we work; as a multi-disciplinary, diverse, 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

A salary in scale 9 or scale 10 could be applicable to this vacancy. This is highly depending on your experience and a comparison with the peers working in the same role which is further determined in the interviews.

• Masters’ degree in a technical field
• 5+ years’ experience performing data analysis in Python
• Experience with PySpark, Databricks, Power BI, building end to end solutions by using repos, version control, pipelines and a testing framework
• The ability to find the real question behind a question and to present your ideas and results in a convincing way
• Structured, precise and communicative
• Experience with guiding junior and mediors in delivery/share your technical vision
• Pro-active, have a business focus and can-do mentality to make the difference
• Able to see the bigger picture and look ahead into possible new insights and techniques
• Motivated to catch criminals by making our TM system more effective; in other words, you are motivated to perform analysis that identify opportunities to realize measurable impact for the bank, not necessarily to build complex analytics models
• Thrive in a high-impact, dynamic, high-paced and complex environment
• Have excellent verbal and written communication skills in English