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Michael Perkins

@michaelperkins

Quantitative Trader at Epoch 2 Technologies generating millions in annual P/L with algorithmic strategies.

United States
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At Epoch 2 Technologies, I research, develop, and trade multi-frequency alpha-generating strategies across equities, options, futures, FX, crypto, and fixed income. These strategies have generated millions in annual P/L, and I’ve developed and deployed AI/ML models to automate alpha discovery and strategy development.

At Tower Research Capital, I founded a trading team and developed the Ceres Algo Strategy Environment, a low-latency, concurrent Java trading environment. I also developed the Ceres Research Platform for quantitative research and backtesting.

At Epoch 2 Technologies, I developed the Carrera Trading System, a low-latency Java FIX/ITCH platform, and the Carrera Research Environment. I also developed an AutoQuoter/AutoHedger and built a low-latency network from scratch.

Earlier, I established a quantitative trading group at Citic Capital and worked on algorithmic trading at Credit Suisse and Deutsche Bank/Resonance Capital. My work included trading platforms, execution systems, and quantitative strategies across asset classes.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

FF

Frankfurt Institute of Finance

Bachelor of Science, Finance and Mathematics

Grade: Magna cum laude (3.8)

Bachelor of Science in Finance and Mathematics, graduated Magna cum laude with a GPA of 3.8.

FF

Frankfurt Institute of Finance

Master of Science, Quantitative Finance

Grade: Graduated with honours (3.6)

Master of Science in Quantitative Finance, graduated with honours and a GPA of 3.6.

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