Quant Trader (ML & Systematic Strategies)

Capstone Investment Advisors

New York (NY)

On-site

USD 150,000 - 160,000

Full time

10 days ago
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Benefits offered by this job

Training and development opportunities
Wellness Resources: Physical, Mental,

Job summary

Capstone Investment Advisors seeks an Associate Trader in New York, NY to implement systematic strategies across multi-currency, cross-asset portfolios. The role emphasizes machine learning-based execution, quantitative modeling, and risk-aware trade design.

You will build data pipelines, deploy Python and C++ based solutions, and work with senior traders to enhance alpha across market cycles. A Master’s in a related field and 2 years of experience are required.

Qualifications

  • Master’s degree in Financial Engineering or related field; 2 years of relevant experience.
  • Experience designing and building statistical models, PCA-based risk decomposition, regression, and time-series analysis.
  • Pricing IRS and Swaptions; Monte Carlo stress scenarios; VaR and Tail Risk expertise.

Responsibilities

  • Implement systematic trading strategies across multi-currency, cross-asset portfolios.
  • Develop data pipelines and SQL architecture for VaR/Tail Risk simulations.

Skills

Python
C++
Machine Learning
SQL

Education

Master’s degree in Financial Engineering or related field

Tools

Python
C++
SQL

Job description

Capstone Investment Advisors seeks an Associate Trader in New York, NY to implement systematic strategies across multi-currency, cross-asset portfolios. The role emphasizes machine learning-based execution, quantitative modeling, and risk-aware trade design.

You will build data pipelines, deploy Python and C++ based solutions, and work with senior traders to enhance alpha across market cycles. A Master’s in a related field and 2 years of experience are required.

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