Quantitative Trader

My client is a crypto&fiat market making firm

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 models. You 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 techniques to analyze historical data and optimize

strategy parameters.

Qualifications:

Experience:

◦ Strong experience in market making within cryptocurrency or traditional financial

markets.

◦ 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