Crypto HFT Trader (Remote)

Blue Coast; London; Remote; GBP 70,000 - 100,000; Full time

Benefits offered by this job

Competitive salary

Negotiable bonuses

Remote work flexibility

Job summary

A global proprietary trading firm is seeking an experienced Crypto Quant Trader to develop and deploy algorithmic trading strategies. The ideal candidate will have a strong background in mathematics or computer science and experience in high-frequency trading. The position offers remote work flexibility, a competitive salary, and the opportunity for performance-based bonuses.

Qualifications

• Experience in high-frequency trading or quantitative trading.
• Proficiency in back-testing and statistical techniques.
• Solid data-mining and analysis skills.

Responsibilities

• Designing, implementing, and deploying trading algorithms.
• Exploring trading ideas by analysing market data.
• Creating machine learning models.

Skills

Algorithmic trading strategies

Market analysis

Machine learning models

Backtesting

Data analysis

Python

C++

Education

Bachelors, Masters or PhD in Mathematics, Statistics, Computer Science

Job description

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 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
• Others on open discussion

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Finance