Quantitative Trader

Position Name:

Location:

Experience Range

Role Overview :

We are seeking a highly motivated and analytical Quantitative Trader to join our dynamic trading team. In this role, you will design, implement, and execute data-driven trading strategies across various asset classes. You’ll work in a fast-paced, collaborative environment where creativity, precision, and agility are key.

Key Responsibilities:

• Develop, backtest, and deploy algorithmic trading strategies using historical and real-time market data.
• Monitor and manage the performance of live strategies; optimize and refine models based on results and market behavior.
• Conduct in-depth quantitative research to discover alpha signals and improve existing models.
• Collaborate with developers and researchers to enhance trading infrastructure, data pipelines, and execution systems.
• Analyze risk and maintain robust risk management practices in all aspects of trading.
• Stay updated with market trends, regulatory changes, and trading technologies.

Requirements:

• Bachelor’s, Master’s, or Ph.D. in a quantitative field such as Mathematics, Statistics, Computer Science, Physics, or Engineering.
• 2+ years of experience in a quantitative trading or research role (internships also considered for junior roles).
• Strong programming skills in Python, C++, or Java (Python preferred).
• Experience with data analysis, statistical modeling, and backtesting frameworks.
• Solid understanding of financial markets, trading instruments, and market microstructure.
• Familiarity with tools such as Pandas, NumPy, scikit-learn, KDB+/q, or similar.
• Excellent problem-solving skills, attention to detail, and ability to work under pressure.

Preferred Qualifications:

• Experience in high-frequency or low-latency trading environments.
• Knowledge of machine learning or deep learning techniques.
• Exposure to cryptocurrencies, futures, options, or other derivatives.
• Familiarity with FIX protocol or working with trading APIs.