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.

Please only apply to the one job you feel best fits your skillset and experience. If our team feels you are better suited for another role, we will reach out about the alternate opportunity.

Compensation and Benefits

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.