Posted 2 years, 3 months ago
Roles
COO / Office manager Engineer and/or team lead (ML side) Engineer (trading side)Tech Stack
machine learning market microstructure data augmentation ftx high frequency trading market making arbitrage Postgres self-play liquidity pool okex learning to learn prop trading GANs funding arbitrage causality deep learning Python generative models ethereum jupyterlab automated market maker bayesian inference uniswap cryptocurrency transformers probabilistic programming Typescript bitcoin liquidity provision inference modelling hedge fund binance numpy pytorch algotrading numba limit orderbook yield farming backtest pandas AWS simulation Rust pycharmsLocations
Zug/Zurich
Contacts
not_a_cat@fastmail.com
Description
We apply ML to algotrading. We use the proceeds to fund a fundamental AI research lab. Our primary goal is making progress toward AGI. Over the last two years, we turned 5 digits into 9 digits, trading a volume of around 1-4B per day. We operate as a prop trading firm of 7, we are in the process of restructuring and moving all operations to Zug. The short term priorities are growing the trading team and starting the research operation. Keywords: Trading side: cryptocurrency bitcoin ethereum machine learning deep learning algotrading market making high frequency trading limit orderbook liquidity provision market microstructure binance okex ftx python jupyterlab pytorch pandas numpy aws typescript postgresql pycharms numba rust backtest uniswap automated market maker liquidity pool arbitrage yield farming funding arbitrage prop trading hedge fund Research side: probabilistic programming simulation generative models learning to learn inference modelling data augmentation causality self-play GANs transformers bayesian inference
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