2nd July 2020  8:15 PM - 9:15 PM
Online Event
// Simon Smith - Detecting Financial Crime with Knowledge Graphs When large quantities of money are obtained illegally, the criminals need to make this money useful - typically through money laundering. Here money is moved about in complex manoeuvres with the goal of masking the link between the money and the original crime. Banks, therefore, are often unknowingly (and occasionally knowingly!) transforming this 'dark money' into clean, respectable money that can be used anywhere in the world. To counteract this, banks and many other companies are obliged under government regulations to prevent money laundering, fraud, bribery and corruption and many other financial crimes through a series of mandatory processes; transaction monitoring, screening new clients to the bank, monitoring behaviour and information about clients over time. Technically speaking, the issue is to find (rare) nefarious actors within a large population of innocent ones. Knowledge graphs represent information in a well-defined, machine-readable way - this allows data to be fused together producing an output that is more than the sum of the parts. It therefore offers an excellent choice of technology in terms of pulling together all the information needed to detect actors involved in financial crime. At Ripjar, we are working towards building the world's largest financial risk graph, a knowledge graph built up of many data sources – structured and unstructured - that allow the detection of actors likely to be involved in financial crime. This talk motivates the problem with a brief introduction into financial crime, before discussing knowledge graphs and how we have gone about building one for this particular purpose. // About Simon Simon Smith is the Head of Analytics at Ripjar Limited, a software company specialising in the detection of financial crime on behalf of banks and other corporations. Simon has a decades' worth of experience in building machine learning/analytic systems, in particular specialising in Natural Language Processing techniques (understanding human language with computers).

Event details

From: 2nd July 2020, 8:15 PM
To: 2nd July 2020, 9:15 PM
Location: Online Event

About the organiser

Bristech meetup events are held on the first Thursday of every month (bar August). We provide pizza and drinks after the talks to give people the opportunity to discuss what they've seen and to network with other attendees.

We invite two speakers to share their knowledge on topics from across the technical spectrum (with a bias towards software), including professional developers, company founders, academic researchers, hobbyists and creatives.

A typical Bristech audience member may tend to be tech agnostic (and certainly ‘tech curious’) since we offer such a wide variety of topics and are not focused on any particular technology or software.

We do not try and ‘theme’ our evenings per se, which allows for the interest of odd technical pairings and very often interesting connections/overlaps between the two topics. Variety is the spice of life for Bristech (as is the pizza).

Past topics have included “Kube All The Things” (March 2016) and “Robot Swarms” (November 2014).

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Since the events are tech talks and not recruitment events, please ask permission from the organisers before making any "We're Hiring!" declarations either at an event or in the public discussion forums.

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Bristech has a  Code of Conduct for all participants in our events, both speakers and audience members.