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QUANTITATIVE TRADER

Anson McCade

New York (NY)

On-site

USD 150,000 - 200,000

Full time

Yesterday
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Job summary

A leading proprietary trading firm seeks an experienced Senior High Frequency Futures Quantitative Trader to develop and scale algorithmic trading strategies. This role emphasizes collaboration with developers and focuses on full-cycle strategy development supported by cutting-edge technology, ensuring a high level of autonomy and responsibility in a competitive environment.

Benefits

Access to cutting-edge proprietary technology
High level of autonomy
Supportive and collaborative environment
Competitive compensation

Qualifications

  • Minimum 5 years of experience in high-frequency trading with a focus on futures.
  • Demonstrated success in developing and managing profitable trading strategies.
  • Creative thinker with a passion for solving complex problems.

Responsibilities

  • Research, design, and implement high-frequency systematic trading strategies for futures markets.
  • Collaborate closely with software engineers to optimize trading infrastructure.
  • Analyze tick-level data to uncover inefficiencies and market patterns.

Skills

Statistical models
Quantitative analysis
Python
C++

Education

MSc or PhD in a quantitative field

Job description

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This range is provided by Anson McCade. Your actual pay will be based on your skills and experience talk with your recruiter to learn more.

Base pay range

150,000.00 / yr - $200,000.00 / yr

Direct message the job poster from Anson McCade

Principal Headhunter - Quantitative Strategies at Anson McCade

Senior High Frequency Futures Quantitative Trader (New York / London)

Company Overview

Our client is a leading proprietary trading firm specializing in high-frequency, cross-asset futures trading. Leveraging cutting-edge technology and a world-class infrastructure, they are expanding their trading capabilities and are looking for a seasoned quantitative trader to help develop and scale new algorithmic trading strategies in the futures space.

Role Overview

This is a high-impact role for an experienced quant trader with a proven track record in developing and deploying high-frequency systematic strategies. You will play a key role in the full lifecycle of strategy development, from idea generation to execution and optimization, supported by a strong team of developers and engineers.

Key Responsibilities

  • Research, design, and implement high-frequency systematic trading strategies for futures markets
  • Collaborate closely with software engineers to build, refine, and optimize trading infrastructure
  • Identify and test new sources of alpha using proprietary and public datasets
  • Analyze tick-level data to uncover inefficiencies and market patterns
  • Develop tools for performance monitoring, data visualization, and signal analysis
  • Continuously improve risk management, execution logic, and overall strategy performance

Required Experience & Skills

  • Minimum 5 years of experience in high-frequency trading with a focus on futures
  • MSc or PhD in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Physics, or Engineering) from a top-tier institution
  • Demonstrated success in independently developing and managing profitable trading strategies
  • Deep understanding of statistical models, signal generation, and quantitative analysis
  • Strong coding skills in Python and / or C++; experience working with large tick-level datasets
  • Hands-on experience with back-testing frameworks, simulation environments, and production deployment
  • Creative thinker with a passion for solving complex problems and uncovering new trading opportunities

Why Join?

  • Access to cutting-edge proprietary technology and low-latency infrastructure
  • High level of autonomy and ownership over strategy development
  • Supportive, collaborative environment with highly experienced peers
  • Competitive compensation and performance-based incentives

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Finance

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