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In the Financial Crime Monitoring team at Mollie we are drowning in text but searching for patterns. Currently, our analysts spend hours reading through transaction logs, internal databases and online sources to identify suspicious behavior. We want to flip the script. We are looking for a motivated Master’s student to research the psychology of visual pattern recognition, (such as z-glyphs) and other non textual representations. Our aim is to see if we can detect financial crime faster and more accurately than through traditional charts and text only based assessments.
Job Responsibility
Literature Review: Explore the intersection of Gestalt principles, preattentive attributes, and visual analytics in high stakes decision making
Experiment Design: Design and create a controlled A/B test environment where participants assess simulated cases using text based logs vs. visual z-glyphs (or similar)
Data Analysis: Quantify the time to decision and error rates between both groups
Prototype Feedback: Work with our monitoring team to iterate on how these glyphs should look in a real world dashboard
Requirements
Currently enrolled in a Master's program (Psychology, Cognitive Science, Data Visualization or similar)
You are fascinated by how the human brain processes information and want to apply that to catching the bad guys
Experience with experimental design and statistical tools (SPSS, R, or Python). A basic understanding of UX/UI principles is a huge plus
Nice to have
A basic understanding of UX/UI principles is a huge plus
What we offer
Real World Impact: Your research will directly influence the next generation of our internal monitoring tools
Expert Access: Work alongside seasoned financial crime investigators, senior engineers and data scientists
Data Access: We provide the data and the environment