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ML Researcher/Engineer

Selby JenningsNew York, NY🇺🇸United StatesPosted 14 Jul 2026

Why This Role Stands Out

This hybrid ML Researcher/Engineer role offers a dynamic environment to innovate in alpha signal generation, market microstructure, and execution strategies, providing significant opportunity for professional growth and impact. You'll thrive here if you're a curious and driven individual passionate about applying cutting-edge ML techniques to complex financial challenges, and you're encouraged to apply to join a forward-thinking team.

Quick Overview

Work Type
Hybrid
Schedule
Full Time
Level
Mid Senior

Job Description

  • Research, prototype, and productionize ML/statistical models for alpha signals, market microstructure, and execution strategies in equities.
  • Partner with quantitative researchers and traders to translate research ideas into robust, low-latency production systems.
  • Build and maintain scalable data pipelines, feature stores, and backtesting frameworks for large-scale market and alternative data.
  • Explore modern ML techniques (deep learning, reinforcement learning, time-series modeling, NLP on alt-data) and evaluate their applicability to trading problems.
  • Own the full model lifecycle: research → backtest → deployment → monitoring → iteration.

Skills

NLP
Deep Learning

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