Junior Quant Researcher - ML Alpha Research

Position Overview

• Research statistical techniques such as time-series methods, machine learning, and natural language processing (NLP) to extract value from data.
• Analyze large data sets using advanced statistical and machine learning methods to identify trading opportunities.
• Develop statistical and machine learning-based tools and techniques to solve complex data-related problems throughout the firm.

Typical Day

• Focus on researching new statistical and machine learning techniques and exploring datasets.
• Discuss and present research results with other researchers.
• Deploy and monitor models used to generate trading signals.

Required Qualifications

• Quantitative background with advanced degrees in computer science, machine learning/NLP, statistics, signal processing, optimization, mathematics, or related STEM fields (master’s degree or higher).
• Proven ability to conduct high-quality, rigorous research and communicate results effectively to stakeholders.
• Programming proficiency in at least one major programming or scripting language (e.g., Python, kdb+/q).
• Strong communication skills and ability to collaborate with colleagues across multiple regions.
• Ability to work effectively in collaborative, fast-paced environments and drive projects to completion within accelerated timelines.

Additional Information

The minimum base salary for this role is $60,000 if located in New York. This expectation is based on available information at the time of posting. The role may be eligible for discretionary bonuses, which could constitute a significant portion of total compensation. Benefits may include health, dental, and other wellness plans, as well as 401(k) contributions. Compensation and benefits will be determined based on various factors.