Quantitative Researcher - AI/ML
Core
Develop and improve AI-driven quantitative investment strategies in financial markets, supporting alpha generation through trade execution using cutting-edge machine learning and AI techniques.
Role type
Senior IC quantitative researcher (AI/ML)
Builds
AI-enhanced investment strategies, alpha generation pipelines, and data processing systems for financial markets
Domain
Alternative investment management / Quantitative finance / Machine Learning
Deliverable
production ML models
Required skills
Advanced ML theory (optimization, probabilistic modeling, deep learning architectures), LLM/NLP application, alternative data pipeline construction, deep learning/RL/statistical ML model design, backtesting, model interpretability, cloud environment management, multi-machine CPU/GPU setup
Preferred skills
Fine-tuning large-scale foundation models, prior investment field experience, publication record in top-tier ML/AI conferences (NeurIPS, ICML, ICLR, ACL)
Technologies
LLMs, NLP, transformers, diffusion models, reinforcement learning, cloud environments, multi-machine CPU/GPU setups
Responsibilities
Identify novel investment signals using LLMs and alternative data; apply AI-powered data processing and feature engineering; design and implement deep learning and statistical ML models for backtesting; translate complex model outputs into actionable investment insights; conduct research on AI-enhanced implementation aspects including trading cost models and portfolio optimization