About the Role

Technology-driven proprietary trading firm that leverages cutting-edge Al and machine learning to identify and capitalize on market opportunities across multiple asset classes including digital assets, equities, futures, fixed income, FX, and commodities is looking for a Senior Al Engineer.Their collaborative team combines deep expertise in finance, mathematics, and computer science to develop innovative trading strategies.You will design, develop, and implement advanced machine learning models and algorithms that drive our automated trading systems. You'll work closely with researchers, quantitative analysts, and infrastructure engineers to transform mathematical concepts into production-ready trading solutions.

Responsibilities

Develop and implement machine learning models to analyze market data, detect patterns, and generate trading signals
Design and build data pipelines for processing large volumes of market data
Optimize algorithms for low-latency execution in production trading systems
Conduct rigorous backtesting and performance analysis of Al-driven trading strategies
Stay current with latest developments in Al/ML research and assess applicability to trading
Contribute to the firm's machine learning infrastructure and tooling

Requirements

Advanced degree in Computer Science, Machine Learning, Statistics, Mathematics, or related quantitative field
Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, scikit-learn)
Familiarity with high-performance computing and optimization techniques
Knowledge of financial markets and trading concepts across multiple asset classes
Experience with C++ for performance-critical components
Background in signal processing, natural language processing, or computer vision
Experience with cloud-based ML infrastructure and containerization technologies

AI Engineer - Quantitative

About the Role

Responsibilities

Requirements

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