Our client is a global top market share high-frequency proprietary trading firm trading across global equities, futures, FX and crypto.
The firm is actively looking for experienced Crypto Quant Traders to develop and deploy algorithmic trading strategies based on patterns in market behaviour.
Preferred crypto trading venue exp : Binance, Upbit, Gate.io, hyperliquid. Must have experience : trading volume driven trading experience to low or rebate maker fees.
Responsibilities
- Designing, implementing, and deploying trading algorithms
- Exploring trading ideas by analysing market data, market micro-structure and alternate data for patterns
- Creating machine learning models
- Backtesting trading strategies, comparing backtest results with live trading
- Contributing to libraries of analytical computations to support market data analysis and trading
- Developing, augmenting, and calibrating exchange simulators
Qualifications
A Bachelors, Masters or PhD degree from a top-tier university in Mathematics, Statistics, Computer Science, or equivalent STEM degreeExperience in high-frequency trading or quantitative tradingProficiency in back-testing, simulation, and statistical techniques (auto-regression, auto-correlation, and Principal Component Analysis)Solid data-mining and analysis skills, including experience dealing with a large amount of data / tick dataFamiliarity with signal generation and statistical modelsStrong programming skills in Python and / or C++Experince in HFT with a proven track record is a strong plusMath Olympiads / programming competitions (ICPC, Codeforces) / Kaggle Master+ or similar achievements is a PlusWorking conditions
Remote work from anywhere in the world or from officeCompetitive salary and negotiable pnl cut or discretionary bonusesOthers on open discussionSeniority level
Mid-Senior levelEmployment type
Full-timeJob function
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