Quantitative Trader- Crypto Sector
Our client is a crypto&fiat market making firm.
This role can be base in the US/LATAM/EU.
Role Overview:
As a Quantitative Trader specializing in Market Making, you will be responsible for developing and improving high-frequency trading strategies, constructing tick-level factors, and enhancing our algorithmic trading modelsYou will work closely with researchers, developers, and traders to create robust market-making algorithms and capitalize on opportunities in the fast-paced world of cryptocurrency markets.
Key Responsibilities:
Market Making & Trading Strategy Development:
• Design, implement, and optimize market-making strategies across multiple cryptocurrency exchanges.
• Monitor and adjust strategies to react to changing market conditions and ensure profitability.
Algorithm Development:
• Proficiently write and improve high-performance algorithms in Python.
• Create and implement high-frequency trading models based on tick-level data.
• Construct and refine market factors (order flow, price movement, liquidity, etc.) for high-frequency trading strategies.
Backtesting and Validation:
• Design and implement backtests to validate the performance of trading strategies.
• Apply statistical and machine learning technique to analyze historical data and optimize strategy parameters.
Qualifications:
Experience:
• Strong experience in market making within cryptocurrency or traditional financial market so Solid experience in backtesting and optimizing trading strategies using tick-level data
Market Knowledge:
• Deep understanding of cryptocurrency markets, including liquidity, order book dynamics, volatility, and arbitrage opportunities.
• Knowledge of market microstructure and trading algorithms.
Soft Skills:
Excellent problem-solving skills and attention to detail.
Strong communication skills and ability to work in a fast-paced, collaborative environment.
Ability to handle stress and work under pressure in a competitive environment.
Preferred Qualifications:
A degree in a quantitative field (e.g., Mathematics, Physics, Computer Science, Financial Engineering, etc.) is preferred.
Location:Remote(US/Canada-based highly preferred,EU or LATAM also work)
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