Fintal Partners
This range is provided by Fintal Partners. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $250,000.00/yr - $1,500,000.00/yr
Additional compensation types Annual Bonus
Our client is looking for a Machine Learning Research Lead to drive the development of a centralized ML research platform used across multiple trading teams. You’ll work on cutting-edge predictive modeling, feature engineering, and custom ML architectures partnering closely with traders, researchers, and engineers to push innovation in automated trading.
Core Responsibilities
Lead the design and deployment of ML models to improve trading performance.
Research, prototype, and test new algorithmic and ML ideas.
Translate market insights into data-driven features and production models.
Oversee data pipelines and feature engineering for diverse datasets.
Mentor junior researchers and guide ML strategy and infrastructure decisions.
Skills & Experience
Master’s or PhD in a quantitative field.
4+ years of applied ML experience; trading experience preferred.
Strong Python skills and experience with modern ML frameworks (PyTorch, TensorFlow, JAX).
Deep understanding of advanced ML methods and predictive modeling.
Prior leadership or mentoring experience is a plus.
Position can be in NYC or Chicago
Seniority level Mid-Senior level
Employment type Full-time
Industry Capital Markets
Benefits
Vision insurance
Medical insurance
401(k)
Paid maternity leave
Paid paternity leave
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Base pay range $250,000.00/yr - $1,500,000.00/yr
Additional compensation types Annual Bonus
Our client is looking for a Machine Learning Research Lead to drive the development of a centralized ML research platform used across multiple trading teams. You’ll work on cutting-edge predictive modeling, feature engineering, and custom ML architectures partnering closely with traders, researchers, and engineers to push innovation in automated trading.
Core Responsibilities
Lead the design and deployment of ML models to improve trading performance.
Research, prototype, and test new algorithmic and ML ideas.
Translate market insights into data-driven features and production models.
Oversee data pipelines and feature engineering for diverse datasets.
Mentor junior researchers and guide ML strategy and infrastructure decisions.
Skills & Experience
Master’s or PhD in a quantitative field.
4+ years of applied ML experience; trading experience preferred.
Strong Python skills and experience with modern ML frameworks (PyTorch, TensorFlow, JAX).
Deep understanding of advanced ML methods and predictive modeling.
Prior leadership or mentoring experience is a plus.
Position can be in NYC or Chicago
Seniority level Mid-Senior level
Employment type Full-time
Industry Capital Markets
Benefits
Vision insurance
Medical insurance
401(k)
Paid maternity leave
Paid paternity leave
#J-18808-Ljbffr