Caspian present risk management solution at Cambridge Networks Day 2019


We’re back to our events programme this week and really looking forward to joining everyone at the Cambridge Networks Day 2019 on Thursday. The one-day event focuses on complex networks and their applications whilst the stellar line up of speakers and researchers come from a variety of fields including sciences, computing and business.

Kathryn Poole will be representing Caspian and sharing insights into our technology and data science work that helps to fight financial crime for regulated financial organisations. Every year, an estimated $2 trillion of ‘dirty money’ (funds obtained from criminal activity) enters the international banking system and at Caspian, we’ve recently been focussed on automating the process involved in investigating company entities and their networks.

Kathryn will be presenting a case study titled ‘Finding Dirty Money: A case study in discovering suspicious complex company networks using machine learning’ which looks at whether we can determine if a company is likely to be involved in money laundering activity, given its attributes and network structure. Using a neural network approach, trained on features identified by Anti-Money Laundering (AML) experts, we’re able to identify high risk company networks with high accuracy and speed. Kathryn will share more about the methodology and results on the day so please go and say hello during the poster session.

The full line up is available here and we’re particularly looking forward to hearing Dr Ginestra Bianconi’s talk on ‘Multilayer Networks: Structure and Function’ as well as Professor Ronaldo Menezes speak ‘On the scale, Concentration and Dynamics of Crime’.