Our client is building an equity trading engine powered by machine learning. They are seeking a AI/ML Quant Analyst with deep expertise in equity trading, advanced modeling techniques, and programming to help design and implement this system.

Responsibilities:
• Design, test, and optimize machine-learning-driven trading models. • Apply advanced techniques such as non-linear models, deep neural networks, and tree-based models to equity markets. • Conduct risk analysis and evaluate market risk factors to strengthen portfolio resilience. • Develop and refine alpha capture algorithms to generate sustainable returns. • Collaborate on the architecture and scaling of the trading engine. • Leverage Python programming skills, including experience with LLM-assisted coding, to build and maintain efficient, production-ready code. • Monitor performance, troubleshoot issues, and continuously improve strategies.

Qualifications:
• Prior experience as a hedge fund quant analyst or in a similar trading/quant role (other relevant backgrounds may also be considered). • Strong knowledge of equity trading strategies and financial markets. • Hands-on experience with non-linear models, neural networks, and ensemble/tree-based methods. • Proven expertise in risk analysis and market risk factor modeling. • Deep understanding of alpha capture and algorithmic trading strategies. • Proficiency in Python, with exposure to modern coding tools and frameworks (experience with LLM-assisted coding is a plus). • Independent, results-driven professional able to thrive in a startup-like environment.

Start: ASAP

Duration: 3 months, with likely 6 month extension, then possibility of joining a fund

Time commitment: 5 days per week

Location: 2-3 days per week in-person in Greater NYC

Project ID#: 7963

*This is a 1099 contract role that does not offer health benefits

Umbrex

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AI/ML Quant Analyst | New York, NY, USA