ML Quant Researcher: Deep Learning for Trading Signals

Anson McCade Pty; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

Anson McCade is partnering with a leading multi-strategy hedge fund to hire a mid-senior Quantitative Researcher based in the US (NYC/Chicago). The role focuses on developing ML/DL models to generate trading signals for a mid-frequency cash equity team.

You will build pipelines, create predictive features, and collaborate with researchers and a Senior Portfolio Manager to productionize ideas, applying cutting-edge ML advancements to live trading.

Qualifications

• PhD (top-tier) in CS, statistics or related quantitative field; master's acceptable.
• 3+ years of research focused on ML, DL, NLP, and LLMs.
• Expert-level Python proficiency.
• C++ experience preferred but not required.

Responsibilities

• Build and maintain research/trading pipelines from data ingestion to execution.
• Develop predictive features from market data and alternative data, validate and productionize ideas.
• Collaborate with researchers and portfolio manager to implement strategies in live trading.
• Apply recent ML/DL advancements to generate trading signals.

Skills

Python

Machine Learning

Deep Learning

NLP/LLMs

Overfitting control

C++

Education

PhD in quantitative discipline

Master's degree considered

Job description

Anson McCade is partnering with a leading multi-strategy hedge fund to hire a mid-senior Quantitative Researcher based in the US (NYC/Chicago). The role focuses on developing ML/DL models to generate trading signals for a mid-frequency cash equity team.

You will build pipelines, create predictive features, and collaborate with researchers and a Senior Portfolio Manager to productionize ideas, applying cutting-edge ML advancements to live trading.