Position Overview:
We are seeking a highly skilled and driven Quantitative Trader to join our dynamic team. The ideal candidate will design, develop, and execute trading strategies across various asset classes, leveraging quantitative research and data-driven insights. This role requires a deep understanding of financial markets, strong programming skills, and an entrepreneurial mindset.
Key Responsibilities:
• Develop and implement systematic trading strategies based on quantitative research.
• Analyze large datasets to identify patterns, inefficiencies, and trading opportunities.
• Monitor and optimize existing strategies to improve performance and scalability.
• Collaborate with researchers, developers, and other traders to enhance execution capabilities.
• Conduct risk management to ensure strategies align with risk tolerance and objectives.
• Stay updated on market trends, technological advancements, and regulatory changes.
Qualifications:
• Bachelorâs, Masterâs, or Ph.D. in a quantitative discipline (e.g., Mathematics, Statistics, Computer Science, Engineering, Finance).
• Strong programming skills in Python, R, C++, or similar languages.
• Proven experience developing and executing quantitative trading strategies.
• Deep understanding of market microstructure, financial instruments, and risk management.
• Proficiency in statistical modeling, machine learning, or optimization techniques.
• Excellent problem-solving skills and attention to detail.
• Ability to work effectively in a fast-paced, collaborative environment.
Preferred Skills:
• Experience with high-frequency trading or algorithmic execution.
• Familiarity with distributed computing and cloud-based infrastructure.
• Background in trading equities, fixed income, FX, commodities, or derivatives.
What We Offer:
• Competitive compensation, including performance-based bonuses.
• A collaborative and intellectually stimulating work environment.
• Opportunities for professional growth and development.
• Access to state-of-the-art technology and resources.