ABOUT US

Experience at your service

Deep Market Making’s AI and data analytics experts are now working for you after years of experience with the worlds’ biggest banks, tech firms, and bleeding edge startups.

Nathan Powell

Founder and Credit Market Making Innovator

Former Executive Director of Machine Learning for JP Morgan Chase, Head of Machine Learning R&D for AIM2 and Software Development Engineer for Microsoft’s data science and machine learning team, Nathan brings his experience to work for you.
 
With 15 years of machine learning and software engineering to draw on, Nathan develops neural networks amplifying your power with AI. His technology improves upon old quantitative finance models to make you competitive with dealers.
Deep Market Making, AI-Powered Trading Alerts, AI and Data Analytics, Credit Trading

Mark Rozeboom, CFA

Head, Business Development

  • Prior to leading business development at DeepMM, Mark was a bulge-bracket investment banker/credit trader (Lehman, BARC, MS) and hedge fund manager (10+yrs experience)
  • Mark is analytical and brings a deep understanding of global credit trading
  • Previously, Co-Founder- North American Helium, $300mm raised, valuation >$500 mm
Deep Market Making, AI-Powered Trading Alerts, AI and Data Analytics, Credit Trading

Brian Adams

Principal Lead Machine Learning Engineer

Brian is DeepMM’s Principal Lead Machine Learning Engineer, specializing in JavaScript, Node.js, and modern frontend frameworks. With a wealth of experience in senior software engineering roles across diverse industries, Brian brings innovation and expertise to every project. He holds a computer science degree from Brigham Young University, with a strong understanding of foundational machine learning technology.
AI-Powered Trading Alerts, AI and Data Analytics, Credit Trading

James Finer

Head of Sales

A veteran high-yield trader with extensive credit trading experience across multiple investment vehicles and strategies within the corporate credit universe. Expert in trading long-only high-yield benchmark portfolios, long-short credit hedge fund portfolios, and opportunistic credit portfolios; ability to build a profitable trading plan that generates positive P&L. Deep knowledge of regulatory compliance best practices and strong quantitative, analytical, and financial technology skills.
AI-Powered Trading Alerts, AI and Data Analytics, Credit Trading

Complex made

simple

Deep MM machine learning reduces the toughest, most complex data integration obstacles to simple, instantaneous insights that offer immediate solutions, making the lives of traders, sell-side dealers, and portfolio managers less stressful and more lucrative.

Our constantly evolving neural network knows how to outperform traditional fixed income pricing filters such as Kalman filters using deep learning techniques, slashing uncertainty about the market price.

With a direct connection to the FINRA TRACE multicast, Deep MM’s bank-beating AI combines power and speed to deliver unparalleled transparency and higher returns.