Junior Deep Learning Researcher
Core
Conduct original research in artificial intelligence and machine learning to develop adaptive trading strategies for financial instruments.
Role type
Junior IC deep learning researcher (quantitative finance)
Builds
Robust and adaptive algorithmic trading strategies
Domain
Financial technology / High-frequency trading
Deliverable
production ML models
Required skills
Python, modern deep learning architectures, probability theory, mathematical statistics, analysis of large unstructured noisy datasets
Preferred skills
Published research in top-tier conferences (ICML, NeurIPS, ICLR, CVPR, ICCV), C++
Technologies
Python, C++, modern deep learning frameworks
Responsibilities
Develop and experiment with modern deep learning architectures; Analyze large, unstructured, and noisy datasets to extract meaningful insights; Collaborate with developers to implement and optimize trading strategies; Continually explore new methodologies to enhance research outcomes
Seniority
Junior, hands-on IC