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- SEC Adopts Statement and Interpretive Guidance on Public Company Cybersecurity Disclosures
- SEC Charges Former Bitcoin Exchange and Its Founder With Fraud
- JPMorgan Chase to Replace NYC Headquarters with 70-Story Skyscraper
- Citigroup Raises CEO Corbat's Pay 48% to $23Mn
- Should Congress Create a Crypto-Cop?
- JPMorgan Weighs Buying an Exchange-Traded Funds Firm
- Hey, Goldman Sachs: Wanna Buy BNY Mellon?
- SEC Order Rejecting Acquisition of Chicago Stock Exchange (CSX) by Chinese-Baesd Company
- Kyle Moffatt Named Chief Accountant in SEC CorpFinance
- SEC Suspends Trading in 3 Issuers Claiming Involvement in Cryptocurrency and Blockchain Technology
- Karen Garnett, Assoc. Director of SEC CorpFinance, to Leave After 23 Years of Service
- Louisiana Adviser Barred for Hiding Losses from Investors
- Connecticut HF Manager Illegally Diverted Investor Money - Now Owes Nearly $13Mn
- White House Cleaning House of Advisors Without Full Security Clearance
- Goldman Projects 30% Growth in Wealth Management Advisor Force
- Whistleblower Alleges Manipulation of CBOE Volatility Index
- FINRA Looking Into VIX (CBOE Volatility Index) Manipulation: WSJ
- Atlanta-Area Resident Charged with Misusing Investor Funds - SEC
- FINRA Announces 2018 West Region Networking Seminar
- Alberto Arevalo, Associate Director in Office of International Affairs, to Retire From SEC
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NEWSLETTERS & ALERTS
Bad Behavior AI Database Targets Rogue Traders Before They Act
Trader surveillance has come a long way, baby. And while few people would admit to liking or appreciating any form of surveillance, the type of oversight that you'll read about here can be viewed oversight can be downright intrusive and offensive.
Let's start off by asking: What's there to dislike about young, ambitious, nose-to-the-grindstone traders who work long hours after the market close and on weekends, and offer inspired trading ideas to their colleagues?
Well, in this brave new world of trader surveillance, such a person may be considered a potential rogue trader - that's according former Goldman Sachs research analyst Erkin Adylov, who's building a library of banking villainy based on the behaviors of hundreds of past villianous traders, like UBS's Tom Hayes and SocGen’s Jerome Kerviel. Using inputted data, from stress levels in voice recordings to the frequency of visits to the staff lunchroom, Adylov and his team at startup Behavox grade employees on how likely they are to go bad before they do anything wrong.
DEMAND FOR THEIR SERVICES. Some Wall Street firms are currently using the Behavox software program, and some big investment banks and commodities dealers reportedly have begun testing it. This should not come as a surprise - firms can tolerate just so many large fines and elephantine trading losses that are difficult to prevent or even detect.
“If you don’t know what your employees are doing, then you’re vulnerable. Some banks don’t seem to want to know how exposed they are, and they are the ones who are going to get fined next.” - - Adylov.
ARTIFICIAL INTELLIGENCE. Behavox uses machine learning to scrutinize every aspect of an employee’s working life. The technology enables computers to teach themselves how to collate and analyze huge volumes of data. Behavox scans petabytes of data, flagging anything that deviates from the norm for further investigation. That could be something as seemingly innocuous as shouting on a phone call, accessing a work computer in the middle of the night, or visiting the restroom more than colleagues. The system checks these behaviors against case studies of past traders who have strayed from the straight and narrow and looks for a match.
CONDUCT RISK EXCHANGE. While other companies use similar technology to watchdog trading floors, Behavox takes it one step further, compiling a central repository of behavioral patterns accessible to all clients. Adylov calls it the Conduct Risk Exchange. His challenge is to persuade firms to share potentially embarrassing details about their inner workings. If he can build a network big enough - more than the 3 companies that have signed up so far - it could change the way banks police themselves.