binance Jobs - September 2026
Search by company, role, stack, location, salary signal, source, and work setup.
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Empire Assets
Source: Remote OK
Junior Crypto Analyst & Trader
Posted 2 weeks, 4 days ago
Empire Assets is a young and rapidly developing company working in the field of digital markets and analytics. We bring together enterprising people who want to master modern approaches to trading, analysis and decision-making in a dynamic market environment.…
Location
Remote
Work setup
part-time · Remote format — you can work from anywhere in the world.
Compensation
60000 - 80000
Benefits
Remote format — work from anywhere in the world., Flexible schedule — up to 20 hours per week., Learning from scratch — processes and trading tools mastered with a mentor.
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Research & prop trading firm
Data Engineer
Posted 4 years, 1 month ago
We apply ML to algotrading. We plan to 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 …
Roles
Tech stack
machine learning market microstructure data augmentation ftx ssh high frequency trading market making arbitrage Postgres self-play liquidity pool okex prop trading GANs funding arbitrage causality deep learning Python generative models ethereum automated market maker uniswap-v3 cryptocurrency transformers probabilistic programming Typescript bitcoin liquidity provision inference modelling hedge fund binance numpy pytorch learning-to-learn algotrading numba limit orderbook yield farming bayesian-inference backtest pandas AWS simulation parquet Rust pycharmsLocation
Switzerland, EU
Compensation
200-300k, bonus scheme with reinvestment in the fund, 1-3% options with 4y vesting
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Research & prop trading firm
Engineer (ML side)
Posted 4 years, 2 months ago
We apply ML to algotrading. We plan to 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 …
Tech stack
machine learning market microstructure data augmentation ftx ssh high frequency trading market making arbitrage Postgres self-play liquidity pool okex prop trading GANs funding arbitrage causality deep learning Python generative models ethereum automated market maker uniswap-v3 cryptocurrency transformers probabilistic programming Typescript bitcoin liquidity provision inference modelling hedge fund binance numpy pytorch learning-to-learn algotrading numba limit orderbook yield farming bayesian-inference backtest pandas AWS simulation parquet Rust pycharmsLocation
Zug, Zurich
Compensation
200-300k, bonus scheme with reinvestment in the fund, 1-3% options with 4y vesting
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Research & prop trading firm
COO / Office manager
Posted 4 years, 3 months ago
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 tra…
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 pycharmsLocation
Zug/Zurich
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Research & prop trading firm
Strong engineer (trading side)
Posted 4 years, 4 months ago
We apply ML to algotrading. We plan to 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 …
Tech stack
machine learning market microstructure data augmentation ftx ssh 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 automated market maker uniswap cryptocurrency transformers v3 probabilistic programming Typescript bitcoin liquidity provision inference modelling hedge fund binance numpy pytorch algotrading numba limit orderbook yield farming backtest pandas AWS simulation parquet Rust pycharmsLocation
London, Zug, Zurich
Compensation
150-300k + equity + share of strategy profits re-investable in the fund