Quant Trader - Alexander Chapman

Alexander Chapman; New York (NY); On-site; USD 100,000 - 180,000; Full time

Job summary

A leading firm in the financial sector is looking for a Quantitative Trader to join their dynamic team. The role involves designing and executing trading strategies across various asset classes while leveraging quantitative analysis. Ideal candidates will possess strong programming skills and a keen understanding of financial markets, in a collaborative, fast-paced environment. Competitive compensation and opportunities for professional growth are offered.

Benefits

Competitive compensation, including performance-based bonuses

Collaborative work environment

Opportunities for professional growth

Access to state-of-the-art technology

Qualifications

• Proven experience developing and executing quantitative trading strategies.
• Deep understanding of market microstructure and risk management.
• Ability to work effectively in a collaborative environment.

Responsibilities

• Develop and implement systematic trading strategies based on quantitative research.
• Analyze large datasets to identify trading opportunities.
• Monitor and optimize existing trading strategies.

Skills

Programming in Python

Programming in R

Programming in C++

Statistical modeling

Machine learning

Optimization techniques

Problem-solving

Job description

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 :

• 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.