Emma Immink
About Emma Immink
Emma Immink is a Manager at RiskQuest and a Data Scientist at Rabobank, with extensive experience in transaction monitoring and fraud detection across multiple financial institutions.
Current Role at RiskQuest
Emma Immink holds multiple roles at RiskQuest. She currently serves as a Manager, Senior Data Science Consultant, and Data Science Consultant. Her responsibilities at RiskQuest span various projects and assignments, emphasizing her expertise in data science and transaction monitoring frameworks for Anti-Money Laundering (AML).
Role at Rabobank
Emma Immink is working at Rabobank as an assignment Data Scientist specializing in the Transaction Monitoring Framework for Anti-Money Laundering (AML). This role involves utilizing data science techniques to improve the efficiency and effectiveness of transaction monitoring processes to detect and prevent money laundering activities.
Experience at Bitvavo
From 2022 to 2023, Emma Immink was assigned as a Project Lead at Bitvavo with a focus on improving the transaction monitoring landscape. Her role involved leading initiatives to enhance the systems and methodologies used to monitor transactions for suspicious activities, contributing to the company's compliance with regulatory standards.
Work at ABN AMRO Bank N.V.
Emma Immink has an extensive history with ABN AMRO Bank N.V. She worked as a Data Scientist on health fraud detection from 2020 to 2022 and on multiple transaction monitoring models for AML from 2019 to 2021. These roles involved developing and implementing data-driven models to identify fraudulent activities and ensure compliance with AML regulations.
Education at Universiteit van Amsterdam
Emma Immink completed her Master's degree in Econometrics at the Universiteit van Amsterdam from 2017 to 2018. She also engaged in a Minor in Programming from 2015 to 2016 and studied Econometrics & Operational Research from 2013 to 2016. This education provided her with a strong foundation in statistical analysis, programming, and research methodologies, which are essential for her roles in data science and transaction monitoring.