Machine Learning Researcher (Quant Finance)

Stabile Search • New York, NY

3d • $2,000,000 - $4,000,000 • Onsite

About The Position

My client's quantitative research division is fully systematic and fully automated, with no portfolio managers and no fundamental or manual traders. Researchers and research engineers build the models, and the deployed models make the money, across all major asset classes and time horizons, from microseconds up to months. The division operates as one collaborative P&L rather than siloed books or pods: research is shared across teams, everyone pulls their own weight, and individual contribution is measured through year-end performance review rather than carved-out attribution. It's organized into several research teams of roughly 10-20 people each, evenly split between researchers and research engineers, with a majority of those teams focused on ML and deep learning. As a Machine Learning Researcher, you'll work on problems spanning pre-training, post-training, reinforcement learning, time series and sequence modeling, and large language model / NLP applications, as well as designing models for robustness and scalability and partnering closely with researchers, engineers, and traders.

Requirements

• Advanced degree (Master's or PhD) in Computer Science, Machine Learning, Mathematics, Statistics, Engineering, Physics, or a related quantitative field
• Deep expertise in machine learning, deep learning, sequence modeling, and/or large language models
• Hands-on experience with modern techniques such as pre-training, fine-tuning/post-training, and reinforcement learning
• Strong Python skills with proficiency in PyTorch or JAX
• Solid mathematical and statistical foundations
• A proven track record of innovative research applied to practical, high-stakes problems
• Genuine interest in financial markets and price formation, even without prior finance experience

Responsibilities

• Work on problems spanning pre-training, post-training, reinforcement learning, time series and sequence modeling, and large language model / NLP applications.
• Design models for robustness and scalability.
• Partner closely with researchers, engineers, and traders.

Benefits

• Total compensation is calibrated to impact: offers up to roughly $2M are fair game for strong researchers, $2M-$4M is achievable for a senior researcher who can genuinely move the needle for the business.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior