BAM’s vision is to significantly improve the way high margin investments are handled and understood. It uses state of the art technology especially machine learning to provide its clients with dramatic workflow improvements and enable their universe of potential counter-parties to be expanded.
We are financial and data engineers and know that lack of efficient risk signals yields low liquidity and it can lead to market failure. Collectively we’ve lived this for 50+ years!
Oftentimes investors are never made aware of assets that could interest them or are hesitant to pursue opportunities for fear of informational leakages. Moreover, investment advice and decisions in these markets are frequently ad hoc, time consuming and made without considering the tremendous benefits that data and networks provide.
We exist not just in reaction to these core problems, voiced by players in the illiquid and distressed financial instruments markets, some of us have created some of the industry’s “revolutionary” systems.
BAM combines human and machine intelligence to tackle the problems
inherent in illiquid asset trading.
We do away with the mundane and cumbersome aspects of illiquid asset trading and unleash
productivity by enabling users to focus on those elements of their work which truly add value.
BAM's team has several decades of combined experience in financial markets in trading, technology, research
Not only do we understand the challenges our users face when dealing in illiquid assets markets,
but we also understand and work with state-of-the-art technology to help solve those challenges efficiently.
Also, as core to our culture, we know that arriving at the right answer is way more important than being right.
Founder, Financial & Tech Strategist
Data & Quant Researcher
Data & FinTech Developer
I: Software & Data Developer
I: Quant & Tech Researcher
I: Business & Data Developer
Kay is a tenured professor at Stanford University. His research and teaching are in the area of financial and risk analytics.
Bruce was an executive at Goldman Sachs for 28 years. His expertises are in the areas of trading, risk and investment management.