Prop mm quant trader in London

Prop mm quant trader in London

London Full-Time On-site
K

This role need to base outside of United States due to regulation requirements.

My client is a market-making firm.

About the Role

We are looking for a Quantitative Market Making Trader to take responsibility for the live operation, data analysis, and optimization of market-making strategies across digital asset spot and derivatives markets.

This role combines live strategy execution and monitoring with quantitative research . You will be directly involved in the continuous development and iteration of high-frequency market-making strategies, using data-driven analysis to improve trading logic, strategy profitability, and overall market competitiveness.

Responsibilities

  • Operate and monitor high-frequency market-making strategies on a daily basis, continuously tracking strategy performance and risk metrics to ensure stable and reliable production trading.
  • Quickly identify and resolve trading issues, including market data anomalies, order issues, execution anomalies, and risk-control events.
  • Continuously monitor live strategy performance, analyze changes in trading results, and drive improvements and issue resolution.
  • Work closely with the engineering team to deploy new strategies, iterate existing versions, and continuously improve the trading system.
  • Strategy Research and Optimization
  • Analyze order book, trade, and order flow data to continuously improve market-making strategies.
  • Study market microstructure and optimize quote placement, order cancellation logic, inventory management, and risk controls.
  • Use both historical and live trading data to continuously improve key strategy metrics, including PnL and quote lifetime.
  • Adjust strategy parameters according to different market conditions to reduce losses caused by adverse selection.
  • Continuously research new trading signals, execution logic, and strategy improvements to enhance the overall competitiveness of market-making strategies.

Requirements

Basic Qualifications

  • Bachelor's degree or above in Computer Science, Mathematics, Statistics, Financial Engineering, or a related field.
  • Strong understanding of digital asset spot and derivatives markets and their trading mechanisms.
  • Strong understanding of order books, matching engines, and market microstructure.
  • Proficiency in Python for data analysis, strategy validation, and development of analytical and automation tools.
  • Familiarity with Linux, SQL, Git, and related development tools.
  • Strong data analysis skills, with the ability to identify issues from trading data and develop practical, actionable solutions.
  • Strong analytical and logical thinking, with a continuous improvement mindset.

Preferred Qualifications

Candidates with any of the following experience or skills will be preferred:

  • Experience in digital asset market making, high-frequency trading, quantitative trading, or exchange-based quantitative trading teams.
  • Proficiency in C++.
  • Experience with event-driven trading systems and low-latency trading architectures.
  • Research or practical experience in any of the following areas:
  • Inventory management for market-making strategies
  • Fill probability modeling
  • Toxic order flow analysis
  • Market microstructure research

What We Look For

  • Ability to independently analyze changes in strategy performance and identify the underlying causes of PnL deterioration.
  • Ability to continuously optimize quoting logic, order cancellation logic, and inventory management through data-driven analysis.
  • Ability to identify issues in live trading, propose improvements, and drive them through to implementation.
  • Strong interest in high-frequency trading, market microstructure, and quantitative market making, with a willingness to continuously learn and conduct research.
  • Strong sense of ownership and responsibility, with the ability to respond quickly to and resolve issues in a production trading environment.

If you are interested in continuously improving high-frequency market-making strategies rather than simply maintaining them, and if you enjoy using data to improve trading performance and working closely with strong engineering and trading teams to build competitive market-making strategies, we would love to hear from you.

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K

Contact Details:

KOS International Talent Group Recruitment Team