ING is looking for an excellent Python DEV engineer with interest in Machine learning for our high tech and innovative Trade and Communication Surveillance team. The team is responsible for 3 main trade and communications data analysis systems with a broad underlying infrastructure (Large international financial markets organization trading different asset classes, across the globe from 6 main locations), making use of the newest technology standards to find market abuse. Those are ING’s global systems for high tech smart investigations, meaning that the users and stakeholders are found all over the world in Asia, Pacific, Americas, Europe, Middle-east. If you want to be part of a team whose impact extends to ensuring the safety of trading of a global international financial institution, if you are interested in applying machine learning for detecting anomalies and being part of a growing organization, please read on.
Do you like to be challenged and have innovation as your middle name? We are looking for engineers that like to explorer new ways of finding market abuse in our large dataset of financial markets data. Daily we ingest and analyze in real-time terrabytes of data (all corporate communication channels like email, chat, voice data, data from trading terminals and many more to come). You will be involved in developing new data integrations, data enrichments, machine learning integrations but also further strengthen our test driven development strategy. In addition, you are expected to contribute to continuous delivery and continuous integration practices and strive to further integrate our machine learning models into our daily operations by MLOPS.
We operate according to a BizDevOps development process and strongly believe in the Agile approach to delivering IT solutions. The focus is on high-quality mission-critical target oriented development with regular milestones. We are an open minded squad that values trust and transparency above all.
Personal & technical skillset
Nice to have:
If after reading this you are interested and in case you have questions or would like to know more please contact Paul Braakman - Chapter lead via email: Paul.email@example.com
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