Junior Quant Researcher – ML Alpha Research

Overview

In this role you apply statistical and ML techniques to extract value from data and identify trading opportunities. You will analyze large datasets and develop ML-based tools to solve data-driven problems across the firm. You’ll research new methods, discuss results with researchers, and deploy models that generate trading signals. The position combines rigorous research with practical deployment in a fast-paced, cross-regional environment. This is an opportunity to influence trading strategies through data science and advanced analytics.

Pay / Benefits

• base salary
• discretionary bonuses
• health, dental, and wellness plans
• 401(k) contributions

Responsibilities

• research statistical and ML techniques including time-series methods and NLP
• analyze large datasets to identify trading opportunities
• develop statistical/ML tools to solve complex data problems across the firm
• research and explore datasets and present findings to colleagues
• deploy and monitor models that generate trading signals

Key requirements

• quantitative background with advanced degree (masters or higher) in CS, ML/NLP, statistics, signal processing, optimization, mathematics or related STEM
• proven ability to conduct rigorous research and communicate results to stakeholders
• programming proficiency in at least one major language (e.g., Python, kdb-q)

• strong communication
• collaborative mindset
• ability to work in high-paced settings and drive projects to completion
• statistics
• time-series analysis
• machine learning

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