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Quantitative Developer at Caxton Associates | New York

Caxton AssociatesNew York, New York, United States
On-site Full-time $150K/yr - $180K/yr

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Experience Level

Experience

Qualifications

Qualifications:Bachelor's degree in a quantitative discipline, preferably in computer science, engineering, mathematics, or a related field. Minimum of 3 years of relevant experience in quantitative development. Strong quantitative reasoning and software design capabilities. Proficient programming skills in Python. Ability to manage parallel workstreams and deliver quality solutions promptly. Meticulous attention to detail. Independent thinker with creative problem-solving skills. Goal-oriented with a positive and proactive attitude. Strong collaborative skills to work effectively within a team-oriented setting. Solid understanding of SQL and relational database fundamentals. Excellent verbal and written communication skills. Upholds the highest standards of ethics and integrity.

About the job

About Caxton Associates:

Established in 1983, Caxton Associates is a prestigious global trading and investment firm with a presence in major financial hubs including New York, London, Bengaluru, Monaco, Singapore, and Dubai. We specialize in managing both client and proprietary capital, offering a diverse range of investment products tailored to meet the unique needs of our investors. Our multi-portfolio manager framework allows us to excel in discretionary global macro investing, leveraging our vast expertise across various asset classes and markets.

About the Role:

We are seeking a talented Quantitative Developer to collaborate directly with a Portfolio Manager specializing in Global Macro strategies. In this role, you will thrive in a dynamic and entrepreneurial environment, tackling intricate challenges and contributing to innovative solutions.

Key Responsibilities:

  • Develop and implement systematic trading processes across multiple markets, ensuring seamless front-to-back execution and management.
  • Oversee the development and maintenance of all code and models to maintain high-quality standards.
  • Investigate the entire trading process to identify and mitigate risks, including potential intellectual property loss.
  • Manage and analyze large datasets, ensuring effective data handling, construction, visualization, and application for model development.
  • Leverage extensive market knowledge to guide informed decision-making, adaptable to various market conditions.

Qualifications:

  • Bachelor's degree in a quantitative discipline, preferably in computer science, engineering, mathematics, or a related field.
  • Minimum of 3 years of relevant experience in quantitative development.
  • Strong quantitative reasoning and software design capabilities.
  • Proficient programming skills in Python.
  • Ability to manage parallel workstreams and deliver quality solutions promptly.
  • Meticulous attention to detail.
  • Independent thinker with creative problem-solving skills.
  • Goal-oriented with a positive and proactive attitude.
  • Strong collaborative skills to work effectively within a team-oriented setting.
  • Solid understanding of SQL and relational database fundamentals.
  • Excellent verbal and written communication skills.
  • Upholds the highest standards of ethics and integrity.

Compensation:

The annual base salary for this role ranges from $150,000 to $180,000, with actual compensation determined by factors such as relevant experience, seniority, business needs, and market demand. Successful candidates will also be eligible for a discretionary bonus.

About Caxton Associates

Caxton Associates is a prestigious global trading and investment firm founded in 1983. With offices in key financial centers such as New York, London, Bengaluru, Monaco, Singapore, and Dubai, we excel in managing client and proprietary capital through tailored investment products. Our multi-portfolio manager framework allows us to leverage diverse expertise in discretionary global macro investing across various asset classes and markets.

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