Quant ML Researcher: Market Alpha & Modeling

Fintal Partners; New York (NY); On-site; USD 180,000 - 320,000; Full time

Job summary

Fintal Partners in New York hires proven quantitative researchers to apply ML and DL to trading challenges. You will join a central ML research group collaborating with trading desks to build models, systems and tooling, blending ML with trading intuition and problem-solving.

Expect deep involvement in feature engineering, alpha research, and deploying predictive models across asset classes. You’ll work with researchers and engineers to turn market insights into data-driven features, with

Qualifications

• PhD or Master's in Engineering, Math, Statistics, CS or a comparable quantitative discipline.
• 2+ years building applied ML models; trading environment experience preferred.
• Demonstrated skill developing and deploying predictive foundational models.
• Strong Python, with ML libraries such as PyTorch or TensorFlow and/or high-performance frameworks like JAX.
• Solid grasp of the theory behind state-of-the-art ML models.
• Strong publication record at ICML, ICLR, NeurIPS or equivalent.
• Genuinely collaborative, with excellent written and verbal communication.

Responsibilities

• Build and deploy machine learning models that lift trading performance across asset classes.
• Research, test and prototype new algorithmic ideas, applying advanced ML to market prediction, signal generation and portfolio optimization.
• Work with quantitative traders, researchers and developers to turn market insight into data-driven features and models.
• Own data acquisition, preprocessing and feature engineering across structured and unstructured sources.

Skills

Python programming

Machine learning

Research collaboration

Communication

Education

PhD or Master's in Engineering, Math, Statistics, CS

Tools

PyTorch

TensorFlow

JAX

Job description

Fintal Partners in New York hires proven quantitative researchers to apply ML and DL to trading challenges. You will join a central ML research group collaborating with trading desks to build models, systems and tooling, blending ML with trading intuition and problem-solving.

Expect deep involvement in feature engineering, alpha research, and deploying predictive models across asset classes. You’ll work with researchers and engineers to turn market insights into data-driven features, with