2027 Capital Markets, Global Equities, AI Engineer (16 Months, Co-op)
Core
AI Engineer developing trade execution algorithms and advanced analytics solutions using machine learning for quantitative finance.
Role type
AI Engineer (Co-op/Intern)
Builds
AI-driven trading algorithms and client-facing applications
Domain
Quantitative Finance / Capital Markets
Deliverable
production ML models
Required skills
Python, Machine Learning (Feature Engineering, Deep Learning, Reinforcement Learning), Data Science (NumPy, Pandas, Seaborn, Streamlit), Probability & Statistics, Databases, Unix systems
Preferred skills
None stated
Technologies
PyTorch, Scikit-learn, MLflow
Responsibilities
Develop and optimize AI-driven trading algorithms, analyze large datasets to derive insights, collaborate with traders and researchers on innovative products
Seniority
Student/Co-op (Fixed Term)