We're working with a Global Hedge Fund with over 50 billion 50 AUM that are looking to hire a Machine Learning Engineer.
Role:
Design, develop, and implement machine learning models to analyze large-scale financial data and identify market opportunities.
Collaborate with portfolio managers, researchers, and data scientists to integrate models into trading strategies.
Optimize algorithms for efficiency, accuracy, and scalability in real-time trading environments.
Explore new data sources, perform feature engineering, and evaluate their predictive power.
Stay current with the latest advancements in AI/ML technologies and contribute to the continuous innovation of our tools and platforms.
Essential skills:
Bachelor’s, Master’s, or Ph.D. in Computer Science, Mathematics, Statistics, or a related field.
Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
Strong understanding of supervised, unsupervised, and reinforcement learning techniques.
Experience with time-series analysis and predictive modeling.
Familiarity with data processing frameworks (e.g., Pandas, NumPy) and big data technologies (e.g., Spark, Hadoop) is a plus.
An understanding of financial markets and quantitative trading is highly desirable but not mandatory - they're happy to teach you the markets!
Total Comp: 400-900k
