Senior Machine Learning Engineer, Trading Strategies

About this role

Velocity Trading Group seeks a Senior Machine Learning Engineer to design and deploy ML models that power trading strategies. You will work within the Data Science team to develop predictive systems, optimize model performance, and translate market insights into production algorithms. This role combines research, engineering, and quantitative analysis. You'll own the full lifecycle of models—from hypothesis to live deployment—while collaborating with traders, risk managers, and infrastructure engineers.

Responsibilities

• Design and develop machine learning models for trading signal generation and strategy optimization
• Build data pipelines and feature engineering frameworks to support model training and inference
• Conduct backtesting, validation, and performance analysis of models against live trading metrics
• Deploy models to production trading environments and monitor their performance in real-time
• Collaborate with traders and quantitative researchers to translate business requirements into modeling objectives
• Optimize model latency, scalability, and robustness under production market conditions

Qualifications

• 5+ years of professional experience developing and deploying machine learning systems
• Demonstrated ability to work with large datasets and real-time data pipelines
• Experience debugging and optimizing ML models for latency-critical applications
• Experience with financial data, market microstructure, or quantitative trading (preferred)
• Proficiency in Python, C++, or equivalent languages for production ML systems
• Strong foundation in supervised learning, time-series analysis, and statistical modeling