Data & Analytics
As a cooperative with millions of clients around the world, Rabobank has access to enormous amounts of data. But data needs the right people to process it and extract valuable insights from it. That is what we do within Data & Analytics. There is no field that is so closely interwoven with every part of the bank. Working in Data & Analytics therefore means contributing to major societal issues.
Make data do valuable work
You make data do valuable work. By creating a forecasting model which links the emission reduction potential of technologies to the financial costs of implementing them. Or by developing a model which makes adequate risk evaluations of wind, solar, battery and biomass construction projects.
You do this with a close team of highly motivated data professionals who help and challenge each other. You are constantly improving your personal and professional skills and seek to stay ahead with the latest advancements in machine learning and AI.
Feel valued and make data do valuable work.
Data & Analytics
All 22 jobsFAQ
At Rabobank, we use a wide variety of analytics techniques, depending on the use case and the available data. Examples are Logistical regressions, Monte Carlo simulations, Autoregressive econometrical models and Machine Learning techniques. However, this is just the tip of the iceberg.
There are many great machine learning applications in banking. Early detection of financial distress of customers is a great example of a supervised learning problem. Both supervised and unsupervised techniques are used to get to know our customers, for example to detect anti money laundering schemes or risky transactions. Rabobank also uses machine learning to categorize transactions in the banking app.
Rabobank, and other big banks, have millions of customers, with many products and millions of transactions each year. This obviously results in big data. Within Data & Analytics, we use client data, historical data of mortgages, savings, payments and countless other (external) data sources.
Jobs in Data & Analytics
View all open vacancies and apply!
Product Manager Data Governance Platform
- Hybrid
- Utrecht (NL)
- 36 hours
- Full time
Valuation Controller
- Hybrid
- Utrecht (NL)
- 40 hours
- Full time
BI Translator Financial & Economic Crime (FEC)
- Hybrid
- Utrecht (NL)
- 36 hours
- Full time
Sales Intelligence Manager Grootzakelijk
- Hybrid
- Utrecht (NL)
- 36 hours
- Full time
Client Support Officer
- Hybrid
- Toronto (CA)
- 20 hours
- Part time