About the job

Our client is building an equity trading engine powered by machine learning. They are seeking a Quantitative Analyst to support the design, implementation, and refinement of quantitative trading and risk models. This role is well-suited for an analytically strong professional who is comfortable working within established frameworks, taking direction, and iterating on existing solutions in a fast-paced environment.

Responsibilities:
• Support the development, testing, and optimization of quantitative and machine-learning-based trading models for equity markets. • Assist in applying quantitative techniques such as regression models, tree-based methods, and neural networks under guidance from senior team members. • Contribute to risk analysis and the evaluation of market risk factors to improve portfolio robustness. • Help refine and maintain alpha signals and model components used in systematic trading strategies. • Work closely with senior quants and engineers to implement models within the trading engine architecture. • Write, maintain, and improve Python-based research and production code. • Monitor model performance, investigate issues, and assist with ongoing model improvements.

Qualifications:
• Prior experience experience in a quantitative role, such as: Quantitative analytics, Risk management or risk groups, Junior quant roles at hedge funds, banks, or asset managers • Exposure to financial markets, ideally equities. • Strong quantitative foundation with an undergraduate or graduate degree in mathematics, applied mathematics, computer science, statistics, engineering, or a related field. • Collaborative, motivated, and comfortable working in a startup-like, fast-evolving environment.

Start: January

Duration: 6 months, with likely 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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