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Quantitative Trader - Alexander Chapman

Alexander ChapmanNew York, NY🇺🇸United States

Why this role stands out

This hybrid Quantitative Trader role at Alexander Chapman offers an exciting opportunity to develop and execute sophisticated trading strategies, leveraging your quantitative research and programming skills to impact market performance. If you thrive in a dynamic, data-driven environment and are eager to advance your career in financial markets, this position is perfect for you to apply.

Quick overview

SeniorityMid Senior
Employment typeFull Time
Work modeHybrid
LocationNew York, NY, United States
DerivativesC++Fixed IncomePythonRisk ManagementMachine Learning

Job description

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:

  1. Develop and implement systematic trading strategies based on quantitative research.
  2. Analyze large datasets to identify patterns, inefficiencies, and trading opportunities.
  3. Monitor and optimize existing strategies to improve performance and scalability.
  4. Collaborate with researchers, developers, and other traders to enhance execution capabilities.
  5. Conduct risk management to ensure strategies align with risk tolerance and objectives.
  6. Stay updated on market trends, technological advancements, and regulatory changes.

Qualifications:

  1. Bachelor’s, Master’s, or Ph.D. in a quantitative discipline (e.g., Mathematics, Statistics, Computer Science, Engineering, Finance).
  2. Strong programming skills in Python, R, C++, or similar languages.
  3. Proven experience developing and executing quantitative trading strategies.
  4. Deep understanding of market microstructure, financial instruments, and risk management.
  5. Proficiency in statistical modeling, machine learning, or optimization techniques.
  6. Excellent problem-solving skills and attention to detail.
  7. Ability to work effectively in a fast-paced, collaborative environment.

Preferred Skills:

  1. Experience with high-frequency trading or algorithmic execution.
  2. Familiarity with distributed computing and cloud-based infrastructure.
  3. Background in trading equities, fixed income, FX, commodities, or derivatives.

What We Offer:

  1. Competitive compensation, including performance-based bonuses.
  2. A collaborative and intellectually stimulating work environment.
  3. Opportunities for professional growth and development.
  4. Access to state-of-the-art technology and resources.

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