Quantitative Developer, Python
Quantitative Developer - Volatility Trading
New York City, On-site
Salary Range: $175k - $225k Base, $375K - $550K Total compensation
A well-established Portfolio Manager at a leading global hedge fund is looking to expand their team with the addition of a talented Quantitative Developer (QD). This role offers a unique opportunity to work closely with the PM on greenfield development projects, building out a next-generation volatility trading platform. The ideal candidate will have experience in options and volatility trading and be eager to contribute to a fast-paced and collaborative investment team.
Location: New York
Role Overview:
The QD will play a critical role in building the trading platform, covering research infrastructure, back-testing capabilities, and execution systems. The role is highly technical and requires a strong understanding of quantitative trading, software engineering, and data intensive systems.
Key Responsibilities:
Partner closely with the Senior Portfolio Manager and QRs to develop and enhance data pipelines, alpha models, portfolio construction, execution, and risk management systems.
Design, implement, and maintain scalable research and trading infrastructure.
Build tools for signal blending, simulation, and portfolio construction.
Develop and refine automation processes for alpha estimation, risk modeling, and backtesting components.
Troubleshoot and resolve system-related issues, ensuring platform stability.
Maintain and update research and trading frameworks, including dashboards and monitoring tools.
Technical Skills & Qualifications:
Advanced proficiency in Python and its ecosystem (numpy, pandas, polars, scikit-learn), with an understanding of library internals.
Experience contributing to core Python numerical libraries (e.g., numpy, tensorflow, torch, jax) is a plus.
Strong proficiency in Linux and familiarity with distributed computing frameworks.
Experience with software architecture, testing, CI/CD, monitoring, profiling, and version control (Git).
Strong quantitative and analytical skills with a solid foundation in linear algebra, statistics, and machine learning.
Bachelor's or Master's degree in Computer Science, Engineering, or a related STEM field from a top university.
Prior experience in equity derivatives and options trading is preferred.
Preferred Experience:
3+ years of experience as a quantitative developer, ideally within volatility trading.
Proven track record of building platforms for statistical and machine learning-based trading strategies.
Experience working in high-performance, data-driven environments.
Key Attributes:
Entrepreneurial mindset with a passion for greenfield development.
- Growth oriented, looking for challenge and upside.
Self-motivated and detail-oriented, with the ability to work independently.
Compensation & Benefits:
Total compensation includes a competitive base salary, discretionary performance bonus, and a comprehensive benefits package.
The estimated base salary range for this role is $175,000 to $225,000 with total compensation ranging from $375,000 up to $550,000
Final compensation will be based on experience level and qualifications.
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