AI Research Scientist (Financial Vertical)

Role Overview

Develop and fine-tune finance-focused AI models, conduct time-series market data mining, factor discovery and model knowledge distillation & alignment.

Key Responsibilities

• Design and implement machine learning architectures for financial forecasting and asset evaluation.
• Discover and backtest predictive alpha factors using large-scale alternative and market datasets.
• Perform model knowledge distillation to deploy lightweight, low-latency models for real-time analysis.
• Align foundational AI models with proprietary financial reasoning frameworks.
• Collaborate with the investment teams to integrate quantitative signals into fundamental research.

Required Qualifications

• Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Deep expertise in deep learning, natural language processing (NLP), and time-series analysis.
• Strong proficiency in Python and deep learning frameworks (PyTorch, TensorFlow).
• Solid understanding of financial markets and quantitative modeling.

Preferred Qualifications & Skills

• Published research in top-tier AI/ML conferences (NeurIPS, ICML, ICLR).
• Experience with financial datasets, quantitative trading strategies, or algorithmic execution.