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- New Cyberattack Goes Global, Hits WPP, Rosneft, Maersk
- Deutsche Bank Said to Lose as Much as $60Mn Over Derivative Trade
- Dimon Says JPMorgan Headcount to Keep Rising Despite Automation
- RBS to Cut 443 Jobs In UK, Move Many of Them to India
- Deutsche Bank Bullish on London Despite Brexit
- Supreme Court Nears Finish With Big Cases, Retirement Rumors
- The Richest Person in Every State
- LPL Tabs Scott Seese, Former eBay Exec, as Chief Information Officer
- Fired Biglaw Associate Arrested for Trying to Extort Partners
- Canada's CIBC Completes $5Bn PrivateBancorp Buy
- Word ‘Women’ Literally Never Appears in U.S. Senate’s 142-Page Health-Care Bill
- Stephen Pierce, Goldman Sachs Global Head of Equity Markets, To Retire
- Al Gore 'Not Very Smart,’ But Became Filthy Rich Using Simple Investing Formula - Charlie Munger
- U.S. Regulators, Lawmakers Support Volcker Rule Revamp at Hearing
- Morgan Stanley Opts for Frankfurt as New EU Hub
- A New Risk for Goldman, Morgan Stanley in Stress Tests (subsc reqd)
- A Trump Bump for Law Firm of President’s Lawyer - Kasowitz Benson Torres
- JPMorgan, BofA, Goldman, Citi, Wells Fargo Pass Fed's Stress Test
- Blackstone Stock Still Trading at $31 - Its IPO Price From 10 Years Ago
- NJ Resident and NY-Based Global FX Club Charged with Solicitation Fraud, Misappropriation - CFTC
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NEWSLETTERS & ALERTS
Rogue Traders 'Come Up Aces'
Chalk up another win for Artificial Intelligence (AI). More particularly, let’s hear it for the AI program that ferreted out suspicious trading activity based on individuals' psychological tendencies gleaned from piles of communications.
Called in to help companies that were under investigation for possible trading irregularities, Behavox, a U.K. start-up, detected a link between poker nights – attended by heads of trading from major investment banks – and big spikes in their firms' trading profits.
According to Erkin Adylov, CEO of Behavox:
"The relationship between the people involved is the reason we flagged it. The three people who kept playing poker were very close and seem important - i.e. there seemed like there was a business relation. The fact that these guys spent a ton of time playing poker when they were clearly busy was the first thing we highlighted. When you analyzed P&L and overlaid one data set with another, there was a big spike in P&L after the poker night. When we highlighted, the compliance guys were able to connect the dots and found it was a case of collusion."
[Click below link for the whole story.]