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Full time
Operations & Project Management

Quantitative Researcher

Anson McCadeChicago, IL🇺🇸United StatesPosted 4 Aug 2026

Why This Role Stands Out

You will drive impactful trading strategies at a renowned proprietary trading firm, with exceptional compensation of £200,000-£400,000 plus bonuses, where you will develop advanced research and implementation skills. This role is ideal for a quantitative researcher with a strong STEM background and coding proficiency eager to contribute to a collaborative, flat organizational structure in Chicago. You'll thrive here if you possess a passion for innovation in ultra-low latency or intraday trading horizons and are driven to excel in a high-performance environment.

Quick Overview

Salary
£200k - £400k/yr
Work Type
On Site
Schedule
Full Time
Level
Mid Senior

Job Description

£200,000-400,000 GBP

sign-on and end-of-year bonuses

Onsite WORKING

Location: Chicago, Illinois - United States Type: Permanent

Quant Researcher, HFT Equities/Futures - NYC/Chicago

Anson McCade have partnered with a renowned proprietary trading firm which engages in market making and position-taking strategies across liquid Equities, Futures, and Options markets. The firm has a flat, collaborative and open environment, where Quantitative Researchers carry out full-stack research from preprocessing data and feature engineering through to strategy implementation and monitoring in live trading.

They have a mandate to hire Quantitative Researchers in either New York and Chicago, and have particular interest in Quants with experience researching ultra-low latency or co-located strategies through to models with intraday/daily trading horizons.

The Role:
  • Design, engineer and implement research and trading software for electronic trading
  • Cover additional functions such as strategy optimization, post-trade analytics and PnL attribution.
  • Use advanced research techniques to develop trading models.
  • Peer-review the research of other quantitatives at the firm and collaborate with development specialists on the implementation and optimisation of alphas.
Requirements:
  • An advanced degree, such as a Master of Science or PhD from a top university in a STEM field of study.
  • Advanced coding proficiency in Python, in addition to familiarity and willingness to learn C++.
  • Prior experience within Quantitative Research for electronic trading is highly beneficial.

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