Senior Quant Trader — Alpha-Driven Desk, East London

Placements24; Windsor Park (TN); On-site; USD 162,000 - 242,000; Full time

Benefits offered by this job

Competitive base salary

Performance-based bonuses

Comprehensive health benefits

State-of-the-art trading technology

Job summary

Placements24 is seeking a Senior Quantitative Trader to join the East London desk. You will design, test, and deploy quantitative strategies across equities, futures, options, and FX, leveraging advanced models and rapid decision-making.

The role requires 5+ years in quantitative trading, a PhD/masters in a quantitative field, and proficiency in Python, C++, Java, or R. Expect a high-frequency, results-driven environment with strong research collaboration.

Qualifications

• Advanced degree in a highly quantitative field is required.
• Minimum 5 years of experience in quantitative trading.
• Proficient in Python, C++, Java, or R for strategy development and analysis.
• Strong understanding of market microstructure and statistical arbitrage.

Responsibilities

• Design, back-test and deploy quantitative trading strategies across asset classes.
• Execute trades using proprietary algo systems and manage real-time risk.
• Monitor markets, news, and data feeds for opportunities and risks.
• Collaborate with researchers and engineers to improve models and infrastructure.
• Analyze performance and implement strategy enhancements.
• Manage portfolio risk including position sizing and exposure limits.
• Stay updated on trading tech and data analysis advancements.
• Contribute to research and development of new ideas.

Skills

Python

C++

Java

R

Market microstructure

Education

Master's or PhD in Financial Engineering/ Mathematics/ CS/ Physics/ Statistics

Job description

Placements24 is seeking a Senior Quantitative Trader to join the East London desk. You will design, test, and deploy quantitative strategies across equities, futures, options, and FX, leveraging advanced models and rapid decision-making.

The role requires 5+ years in quantitative trading, a PhD/masters in a quantitative field, and proficiency in Python, C++, Java, or R. Expect a high-frequency, results-driven environment with strong research collaboration.