Fintal Partners

About the Company

Fintal Partners is a boutique executive search firm specializing in the placement of elite talent within the U.S. capital markets. Our focus is sharp and niche: connecting the most exceptional candidates with leading trading shops, hedge funds, and private equity firms. What sets us apart is the strength of our relationships. We have built long-standing partnerships with many of the world's most prominent and respected institutions, allowing us to offer unparalleled access and insight. With a deep understanding of the capital markets landscape, we deliver tailored search solutions that meet the unique demands of this fast-paced, competitive industry. A core areas of expertise include: Trading - Quantitative Research, Portfolio Management, Algorithmic Development, Systematic & Semi-Systematic Trading Software - Core Software Development, Quantitative Development, Machine Learning, Data, Infrastructure Hardware - R&D, FPGA/ASIC/PCB Design & Verification Back/Middle Office - Risk Management, Analytics, Market Data, Operations, Procurement If you're interested in hearing more, feel free to get in contact: contact@fintalpartners.com

Listed Jobs

Company Name

Fintal Partners

Job Title

Senior Machine Learning Researcher

Job Description

Job Title: Senior Machine Learning Researcher Role Summary Lead applied machine learning research, designing, training, and deploying high‑performance models for real‑time trading systems. Drive end‑to‑end project ownership within trading pods, collaborating with traders, engineers, and fellow researchers to deliver production‑grade solutions at scale. Expactations - Deliver impactful research that directly supports trading strategies and operations. - Maintain rigorous experimentation standards and iterate from prototype to production. - Communicate findings to non‑technical stakeholders and translate domain insights into model designs. - Mentor junior researchers and contribute to the growth of the ML research group. Key Responsibilities - Conduct advanced research in deep learning, transformers, and LLM architectures tailored for low‑latency environments. - Build, optimize, and deploy models using GPUs and other acceleration hardware for production‑grade inference. - Own projects from hypothesis to deployment, including data pipeline design, model training, validation, and monitoring. - Collaborate closely with trading teams to identify high‑impact problem areas and validate performance gains in live markets. - Publish research results and contribute to technical knowledge bases within the organization. Required Skills - PhD in Machine Learning, Computer Science, Statistics, Mathematics, Physics, or related discipline. - Strong record of peer‑reviewed publications or demonstrable applied research impact in top venues (e.g., top conferences, Google Scholar impact). - Expertise in modern deep learning frameworks (PyTorch, TensorFlow) and transformer/LLM architecture design. - Deep knowledge of GPU optimization, high‑performance training, and inference at scale. - Solid statistical and mathematical foundation for model development and evaluation. - Experience building production‑ready models in high‑performance, fast‑iteration environments. - Familiarity with real‑time, low‑latency systems and trading domain concepts desired. Required Education & Certifications - PhD required; master's or equivalent experience may be considered if accompanied by a strong research record. - No specific certifications are mandated, but evidence of advanced coursework or training in deep learning, GPU computing, or financial modeling is beneficial.

New york, United states

Hybrid

Senior

23-02-2026