Trading AI Researcher: Build & Deploy Deep Models

Fintal Partners

New York (NY)

On-site

USD 180,000 - 250,000

Full time

6 hours ago
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Job summary

Fintal Partners is seeking a Deep Learning Researcher to build models from the ground up for trading, joining a central research team that partners with traders across the firm.

You will pretrain models from scratch, design novel architectures, and push state-of-the-art methods into production, owning the full data-to-model pipeline in a fast-paced, high-performance environment on-site in New York City or Chicago.

Qualifications

  • PhD in CS/Math/Statistics/Engineering or related quantitative field.
  • 5+ years building deep learning models with hands-on pretraining or novel architectures.
  • Deep expertise in modern deep learning theory and practice.
  • Strong Python skills, fluent in PyTorch, TensorFlow, and/or JAX.
  • Track record of publications at top venues (ICML, ICLR, NeurIPS, or equivalent).
  • Comfortable collaborating in a fast-paced, high-performance team.

Responsibilities

  • Architect and train novel deep learning models applied to trading and markets.
  • Lead research from first principles, including pretraining models from scratch.
  • Push state-of-the-art techniques into production, from idea to deployed model.
  • Work closely with researchers, engineers, and traders to turn insights into working systems.
  • Own the full data-to-model pipeline, including acquisition, preprocessing, and feature design.

Skills

Deep learning theory
Research leadership
Publications

Education

PhD in CS/Math/Statistics/Engineering

Tools

PyTorch
TensorFlow
JAX

Job description

Fintal Partners is seeking a Deep Learning Researcher to build models from the ground up for trading, joining a central research team that partners with traders across the firm.

You will pretrain models from scratch, design novel architectures, and push state-of-the-art methods into production, owning the full data-to-model pipeline in a fast-paced, high-performance environment on-site in New York City or Chicago.

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