Data Scientist, Transaction Monitoring Optimisation - Analytics [rekrutacja online]

The resource operates in a team supporting optimisation activities related to our regulatory committed programs, to ensure optimal configuration of the global rule based monitoring systems before go-live. These global systems monitor customer transactions for indicators of financial and economic crime. The tuning, testing and optimization of these systems is a regulatory requirement and requires statistical, investigative, program and operational disciplines to deliver. After go-live the rule based system needs to be calibrated continuously based on analysis conducted by the analytics team. Key elements of the role includes: - Operating in a team of data scientists to simulate the rule based systems and providing relevant events to be investigated by alert investigations team - Provide information to help set thresholds that prevent false negatives to occur and to minimize false positives - Develop and test scenario’s to understand how changes of the parameters of the rule based systems affect effectiveness and efficiency of the alert generation - Investigate and propose additional segmentation to increase productive alerts - Interpret and analyze data problems and guarantee data quality and integrity - Adhere to stringent quality assurance and documentation standards using version control and code repositories (e.g., Git, GitHub, Markdown) - Utilize data visualization tools to deliver insights to stakeholders