How to design a big complex anti-money laundering analytics engine -Robert Vadai

Our speaker has built an anti-money laundering analytics engine with scalable optimisations implemented in Apache Spark. The challenge was to overcome the computational complexity posed by highly recursive similarity algorithms to process 500M transactions. This talk discusses the design of the system and the solutions implemented.

Our speaker, Robert Vadai, is a Data Engineer and Big Data Architect and is CTO at Segence Limited.