Fintal Partners · 9 hours ago
Machine Learning Research Scientist
Chicago, IL
Full-time
Onsite
Senior Level
$500K/yr - $1,500K/yrFintal Partners is building a Machine Learning Research group to collaborate with trading teams across the firm. The role involves conducting applied ML research, deploying models into production systems, and optimizing deep learning models for real-time decision-making.
Financial Services
Hiring Manager
Christopher Atiyah
Responsibilities
Conduct applied ML research and deploy models into large-scale, low-latency production systems
Work closely with traders, engineers, and researchers inside individual trading pods
Design, train, and optimize deep learning models (including transformers and LLM-style architectures) for real-time decision-making
Own projects end-to-end: research → experimentation → production deployment → iteration
Contribute domain expertise (e.g. deep learning, LLMs, GPU optimization) while collaborating with other specialists on the team
Qualification
Required
PhD in Machine Learning, Computer Science, Statistics, Mathematics, Physics, or related field
Strong research track record (e.g. Google Scholar, top-tier publications, or equivalent applied research impact)
Proven experience building models and deploying them at scale in production
Deep expertise in modern deep learning frameworks and model architectures
Strong statistical and mathematical foundation
Background from top-tier trading firms or leading big tech / research labs (e.g. Google/DeepMind, Meta, Apple, Tesla, etc.)
Comfortable working in a high-performance, fast-iteration environment where scale and rigor matter
Preferred
Prior experience in HFT, systematic trading, or market microstructure
Experience optimizing models for GPU/accelerated hardware in production
Exposure to real-time or low-latency systems
Company
Fintal Partners
Fintal Partners is a boutique executive search firm specializing in the placement of elite talent within the U.S. capital markets.
Founded in 2020
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase