Share this article
Brevan Howard Appoints Former CMT Digital CEO Colleen Sullivan to Lead Crypto Investments
The hedge fund manager is also forming a new crypto-focused division called BH Digital.
Updated May 11, 2023, 4:14 p.m. Published Sep 13, 2021, 8:23 a.m.
Make us preferred on Google
Hedge fund manager Brevan Howard named Colleen Sullivan, a co-founder and former CEO of CMT Digital, to lead its investments in crypto. She will join Brevan Howard shortly, the firm said in an email Monday.
- Sullivan stepped down as CEO of CMT Digital, the investment arm of Chicago proprietary trading firm CMT Group, last month.
- Brevan Howard is also forming a new crypto-focused division called BH Digital.
- It was reported in April that the fund manager was planning to allocate up to 1.5% of its main fund (worth $5.6 billion at the time) to direct exposure in cryptocurrency.
- CMT Digital had invested in several large crypto firms, such as crypto derivatives platform ErisX, crypto lender BlockFi, crypto-friendly Silvergate Bank and crypto venture capital pioneer Polychain Capital.
Read more: Financier Alan Howard Owns 5.8% of German Crypto Asset Management Firm Iconic Holding
STORY CONTINUES BELOW
Don't miss another story.Subscribe to the Crypto Daybook Americas Newsletter today. See all newsletters
More For You
Specialized AI detects 92% of real-world DeFi exploits
New research claims specialized AI dramatically outperforms general-purpose models at detecting exploited DeFi vulnerabilities.
What to know:
- A purpose-built AI security agent detected vulnerabilities in 92% of 90 exploited DeFi contracts ($96.8 million in exploit value), compared with 34% and $7.5 million for a baseline GPT-5.1-based coding agent running on the same underlying model.
- The gap came from domain-specific security methodology layered on top of the model, not differences in core AI capability, according to the report.
- The findings come as prior research from Anthropic and OpenAI shows AI agents can execute end-to-end smart contract exploits at low cost, accelerating concerns that offensive AI capabilities are scaling faster than defensive adoption.
Top Stories
