Senior Stock Trader – Quantitative Trading

About Us

We are a leading quantitative trading firm specializing in systematic trading strategies across US markets. We leverage cutting-edge technology, data-driven insights, and advanced statistical models to identify profitable trading opportunities. Our firm fosters a fast-paced, collaborative, and intellectually stimulating environment.

Role Overview

As a Senior Trader, you will be responsible for managing and optimizing trading strategies, improving execution performance, and contributing to the firm's profitability. You will work closely with quants, engineers, and researchers to develop, refine, and scale systematic strategies across asset classes.

Key Responsibilities

• Strategy Execution & Optimization: Deploy and manage high-frequency, mid-frequency, or statistical arbitrage strategies, ensuring maximum efficiency and profitability.
• Market Monitoring & Risk Management: Continuously monitor market conditions, trade execution, and P&L, while managing risk exposure in real-time.
• Performance Analysis: Evaluate trade performance, analyze slippage, and refine execution techniques using data-driven insights.
• Collaboration with Researchers & Engineers: Work closely with quant researchers and developers to backtest and implement new models and trading algorithms.
• Liquidity & Market Dynamics: Leverage deep market knowledge to identify inefficiencies and improve trade execution across exchanges and venues.
• Automation & Efficiency: Optimize workflows and improve automation processes to reduce manual intervention and enhance scalability.
• Compliance & Regulations: Ensure adherence to trading regulations, risk limits, and compliance guidelines in various jurisdictions.

Requirements

• Experience: experience in systematic or discretionary trading at a hedge fund, prop firm, or high-frequency trading (HFT) firm.
• Markets Expertise: Strong understanding of equities, derivatives, FX, fixed income, or crypto markets, with proven P&L track record.
• Data & Analytics: Strong experience in handling large datasets, statistical modeling, and performance evaluation.
• Risk Awareness: Deep understanding of risk management, market microstructure, and execution strategies.
• Tech-Savvy: Experience with execution platforms, order management systems (OMS), FIX protocol, and direct market access (DMA).
• Problem-Solving Mindset: Ability to think critically and adapt strategies in real-time to changing market conditions.
• Education: Degree in Quantitative Finance, Computer Science, Mathematics, Engineering, or a related field.

Preferred Skills

• Experience working with low-latency trading infrastructure.
• Familiarity with reinforcement learning or machine learning-based trading models.
• Knowledge of exchange APIs, co-location strategies, and order flow analysis.
• Programming Skills: (optional) Proficiency in Python, C , or R for backtesting and analyzing trading strategies.

Why Join Us?

• Competitive compensation package with performance-based bonuses
• Collaborative and intellectually stimulating environment
• Cutting-edge infrastructure and technology support
• Access to global markets and high-quality datasets
• Flat hierarchy with direct impact on strategy development and execution

If you are passionate about quantitative trading and thrive in a fast-paced environment, we would love to hear from you.