A Google insider has been charged with a £1m betting fraud, sending shockwaves through the City and prompting the London Stock Exchange to tighten data security. The accused, a former senior data analyst at Google, allegedly exploited his access to real-time search trends to place bets on financial markets. Sources say he used a sophisticated algorithm to predict stock movements based on search volume data, netting over £1 million in illicit profits over two years.
The scheme was uncovered after a routine audit flagged unusual trading patterns linked to a dormant account. The FCA is now scrutinising how Big Data insiders could manipulate markets. The LSE has announced immediate measures: enhanced surveillance of data feeds and stricter vetting for third-party access.
One trader told me: 'This is a wake-up call. The line between tech and finance has blurred, and the watchdogs are scrambling.' The accused will appear at Westminster Magistrates' Court next week.
The case underscores a growing concern: as algorithms dominate trading, the old rules of insider trading look increasingly obsolete.
