Trevor Richardson
Managing Director, Quantitative Strategies
Scottsdale, Arizona, United States
Summary
👤
Senior🎓
Top SchoolTrevor Richardson is a Managing Director of Quantitative Strategies with nine years of experience applying deep learning, reinforcement learning, and time-series analysis to algorithmic trading and alpha generation. He leads the design and live deployment of AI-driven investment strategies at OAM Quant, translating research-grade models into production trading systems. His background spans robotics research—where he combined spatio-temporal feature learning and uncertainty analysis—with industry roles in data science and engineering, giving him a rare blend of academic rigor and practical production experience. Known for uncovering subtle patterns and anomaly signals in noisy financial data, he continuously evaluates emerging ML ideas to keep strategies adaptive and robust. Based in Scottsdale, AZ, he holds an MS in Computer Science and a BS in Industrial Engineering, and has a track record of delivering both research innovations and operationalized analytics.
9 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Computer Science, 3.94, Master of Science - MS, Computer Science, 3.94 at Arizona State UniversityBachelor of Science (B.S.), Industrial Engineering, 3.78, Bachelor of Science (B.S.), Industrial Engineering, 3.78 at Ira A. Fulton Schools of Engineering at Arizona State University
Github Skills (29)
pytorch9
python9
machine-learning9
deep-learning8
zipline8
tensorflow8
pythonic8
data-science8
trading8
backtesting-trading-strategies7
finance7
cryptocurrency7
algorithmic-trading7
jax6
neural-network6
Programming languages (1)
Github contributions (5)
trevor-richardson/conv_lstm_cell
Feb 2018 - Aug 2018
Contributions:16 commits, 14 pushes, 1 branch in 5 months
trevor-richardson/collision_avoidant_reinforcement
Feb 2018 - Aug 2018
Contributions:84 commits, 45 pushes in 5 months
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