ML Quant Researcher (Intraday Equities)

Fionics; New York (NY); On-site; USD 100,000 - 140,000; Full time

Job summary

A top-tier hedge fund in New York is seeking an ML Quant Researcher to design and implement machine learning models for equities trading. The ideal candidate will have 3-7 years of relevant experience, particularly in a collaborative and research-driven environment. This role emphasizes practical use of ML models for developing trading signals and strategies.

Qualifications

• 3-7 years of experience in a Quant Research role.
• Experience at a top buy-side firm or equivalent.
• Practical use of ML models in production.

Responsibilities

• Design and implement ML alpha research models for equities.
• Utilize LLMs and nonstationarity modeling for trading signals.

Skills

Machine learning

Quantitative analysis

Team collaboration

Job description

Overview

Company : Top-tier hedge fund with an MFT-focused team, offering a collaborative, research-driven environment. Emphasizes machine learning for cutting-edge strategy development.

Overview : ML Quant Research opportunity with a collaborative PhD-heavy team. Will be using ML like LLMs and Nonstationarity modeling to develop forecasting and alpha strategies for equities trading team. This is a collaborative model with 5 years+ average tenure on most of the team (not a pod shop).

Responsibilities

• Design and implement machine learning alpha research models and forecasting models for a mix of intraday and longer-hold MFT equities strategies.
• Utilize LLMs, generative models, and nonstationarity modeling to develop effective and profitable trading signals and strategies.

Qualifications / Requirements

• 3-7 years of experience in a Quant Research role.
• Experience at a top buy-side firm, or equivalent experience.
• Practical use of ML models in production.
• Collaborative and patient nature.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Finance, Research, and Engineering

Industries

• Software Development, Financial Services, and Capital Markets