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 to experienced Crypto Quant Traders to develop and deploy algorithmic trading strategies based on patterns in market behaviour.
Responsibilities
Designing, implementing, and deploying trading algorithms
Exploring trading ideas by analysing market data, market micro-structure and alternate data for patterns
Feature engineering
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 degree
Experience in high-frequency trading or quantitative trading
Proficiency 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 data
Familiarity with signal generation and statistical models
Strong programming skills in Python and/or C++
Experince in HFT with a proven track record is a strong plus
Math Olympiads / programming competitions (ICPC, Codeforces) / Kaggle Master+ or similar achievements is a Plus
WORKING CONDITIONS
Remote work from anywhere in the world or from office
Competitive salary and negotiable pnl cut or discretionary bonuses
