Quantitative Developer, Python - Selby Jennings : Job Details

Quantitative Developer - Volatility TradingNew York City, On-siteSalary 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.