REF: 994Mid-LevelPermanent

Machine Learning Researcher – Alpha Signal Generation | Systematic Hedge Fund | New York

New York$250,000 – $450,000 base + bonus (50–120% of base)
Hedge FundsMachine Learning / AITechnology / Quant DevQuantitative Research

Role Overview

A top-tier systematic hedge fund is seeking a Machine Learning Researcher to develop and deploy novel alpha signals using state-of-the-art ML and deep learning techniques. This is a pure research role — you will not be maintaining infrastructure, only generating alpha. You will work directly with portfolio managers and have a direct line from research to capital allocation.

What Makes This Role Stand Out:

The fund has exceptional data infrastructure and is not constrained on compute. You will have access to proprietary and alternative datasets, GPU clusters, and a world-class research platform. Your job is to find edge. Successful researchers here generate some of the most competitive compensation in the industry.

Key Responsibilities:

• Research and develop alpha signals using ML, deep learning, and statistical learning techniques

• Apply models to price, volume, fundamental, sentiment, and alternative data to generate predictive features

• Evaluate signals rigorously: information coefficient, decay, turnover, and regime robustness

• Build ensemble and meta-learning frameworks to combine signals across strategies

• Work closely with portfolio managers to integrate signals into live strategies

• Stay current with the academic literature on financial ML and signal research

• Publish internally and present research at team seminars

Required Experience & Qualifications:

• PhD in Machine Learning, Statistics, Computer Science, Physics, or a closely related quantitative discipline

• 2–6 years of quantitative research experience in a systematic trading or investment context

• Deep expertise in supervised, unsupervised, and reinforcement learning applied to financial data

• Expert Python and PyTorch/TensorFlow skills; experience with large-scale data processing (Spark, Dask)

• Strong statistical rigour: understanding of overfitting, multiple testing, and out-of-sample validation

• Track record of generating novel, live alpha signals a significant advantage

Compensation:

• Highly competitive base salary with substantial performance bonus

• Direct alignment between research output and compensation

Interested in this role?

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