PlusWealth Capital Management - Quantitative Trader

Experienced Quant Trader - High-Frequency Trading (HFT).

We are a proprietary high-frequency trading (HFT) firm that specializes in ultra-low latency trading across global markets.

Our firm combines cutting-edge technology, data-driven research, and algorithmic execution to stay ahead of the competition.

We are seeking an Experienced Quant Trader with a proven track record of developing, implementing, and managing profitable trading strategies in live markets.

This is a hands-on role for a highly skilled individual who can drive strategy development, risk management, and execution optimization.

Role & Responsibilities.

As a Quant Trader, you will:.

- Develop and manage proprietary trading strategies in high-frequency or systematic trading.

- Continuously refine and optimize trading models based on real-time performance.

- Analyze market microstructure and identify short-term trading opportunities.

- Work with large, high-frequency datasets to extract statistical signals and patterns.

- Optimize execution strategies to minimize market impact and slippage.

- Collaborate with quant researchers and engineers to improve signal generation and trading infrastructure.

- Ensure real-time monitoring of trading performance and fine-tune risk management parameters.

- Stay ahead of market trends and regulatory changes affecting trading strategies.

Education & Background:

- Bachelor's, Master's, or PhD in Computer Science, Mathematics, Statistics, Physics, Engineering, or related fields.

- Minimum 2+ years of experience running profitable live trading strategies.

Trading & Strategy Development Skills:

- Proven track record of developing, implementing, and managing successful trading strategies in live markets.

- Experience in market-making, stat arb, HFT, options trading, or other systematic strategies.

- Deep understanding of market microstructure and execution dynamics.

- Ability to work with tick-level and high-frequency datasets to identify patterns.

- Strong risk management skills - must have experience optimizing risk-adjusted returns.

Technical Skills:

- Expertise in C++ or C (for low-latency trading systems).

- Proficiency in Python (for research, backtesting, and analytics).

- Experience with machine learning, statistical modeling, and data science techniques is a plus.

- Familiarity with Linux, shell scripting, and large-scale data processing.

- Strong experience in latency optimization and execution algorithms.

Preferred Experience:

- 2+ years of running live profitable trading strategies with clear PnL attribution.

- Prior experience in HFT or systematic trading in equities, options, futures, or crypto.

- Direct experience handling live market execution, risk, and strategy performance monitoring.

- Ability to innovate and adapt strategies in changing market conditions.

Soft Skills:

- Strong problem-solving ability and critical thinking skills.

- Ability to work independently while collaborating with researchers and engineers.

- Excellent risk discipline and a high sense of ownership.

- Ability to perform in high-pressure environments with live market exposure.