Location: Central London, Greater London - United Kingdom Type: Permanent
My client is a leading global proprietary trading and market-making firm, recognised for its cutting-edge technology, deep liquidity provision capabilities, and world-class quantitative research environment. They operate across global markets, with a collaborative culture and access to advanced HFT infrastructure.
As part of its continued growth, the firm is seeking an experienced Quantitative Trader to develop, deploy, and scale systematic HFT strategies across cash equities and/or futures markets.
The Opportunity
This is a rare opportunity to join a highly sophisticated trading platform capable of supporting the most latency-sensitive strategies. The successful candidate will take ownership of the full research and trading lifecycle, from alpha discovery and signal generation through to strategy implementation, live trading, and ongoing performance optimisation.
The role offers significant autonomy, access to market-leading technology, and the ability to directly influence trading outcomes within a well-capitalised and entrepreneurial environment.
Key Responsibilities
Research, develop, and deploy systematic HFT trading strategies across cash equities and/or futures markets.
Generate novel alpha signals and identify new sources of market inefficiency.
Conduct rigorous statistical analysis, backtesting, and performance attribution.
Optimise strategy performance, execution quality, and risk-adjusted returns.
Work closely with technology and infrastructure teams to ensure efficient implementation of latency-sensitive strategies.
Monitor live trading performance and continuously refine models based on market dynamics.
Drive innovation across the full research-to-production trading pipeline.
Requirements
Minimum 5 years' experience as a Quantitative Trader within a proprietary trading firm, market maker, hedge fund, or similar systematic trading environment.
Proven track record developing and managing profitable HFT strategies in cash equities and/or futures.
Demonstrable history of delivering high Sharpe ratio and high return-on-capital (ROC) strategies.
Strong understanding of market microstructure, electronic execution, and quantitative trading techniques.
Advanced programming skills in Python.
Experience with C++ is highly desirable.
Strong quantitative background with expertise in statistical modelling, data analysis, and systematic strategy development.
Ability to operate independently while contributing within a collaborative research environment.
What's on Offer
Access to one of the industry's leading low-latency trading platforms.
Significant autonomy and ownership over strategy development and deployment.
Competitive compensation structure with strong performance alignment.
Deep technology and infrastructure support for scaling successful strategies.
Opportunity to work alongside some of the industry's most accomplished quantitative researchers, traders, and engineers.
Global platform with substantial capital allocation for proven trading opportunities.
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