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Quantitative Trader - Established Hedge Fund

salary Salary :

$40,000 - 50,000 monthly

icon briefcase Job Type : Full Time

Number of Applicants

 : 

000+

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Job Description - Quantitative Trader - Established Hedge Fund

A well-capitalised, research-driven hedge fund is seeking a Quantitative Trader to join a high-performing systematic trading team. This role sits at the intersection of research and execution, offering meaningful ownership of strategy performance and direct impact on P&L. The fund operates with a data-centric investment philosophy and provides the infrastructure, technology, and autonomy required to deploy sophisticated trading strategies across liquid global markets.

Role Overview

You will be responsible for developing, implementing, and optimising systematic trading strategies across various asset classes. Working closely with quantitative researchers and technologists, you will translate alpha signals into robust, scalable trading frameworks and manage live risk in real time. This position suits an intellectually curious, technically strong trader who combines statistical depth with practical market intuition.

Key Responsibilities

  • Design, refine, and deploy systematic trading strategies
  • Oversee live trading, risk management, and execution optimisation
  • Conduct rigorous performance analysis, attribution, and capacity modelling
  • Collaborate with quant research and engineering teams to improve signal robustness and infrastructure
  • Identify structural inefficiencies, new datasets, and market opportunities
  • Continuously enhance execution quality and transaction cost modelling

Requirements

  • 3-6+ years’ experience in quantitative or systematic trading within a hedge fund, proprietary trading firm, or relevant institutional environment
  • Strong grounding in statistics, probability, and market microstructure
  • Programming skills (Python, VBA, SQL, others)
  • Ability to operate independently while contributing to a collaborative research culture

Preferred Profile

  • Background in a highly analytical discipline (Mathematics, Physics, Engineering, Computer Science, or similar)
  • Experience in signal generation, portfolio construction, and execution modelling
  • Comfort operating in fast-moving, performance-driven environments
  • Clear, precise communicator with strong analytical judgement

The Opportunity

  • Significant strategy ownership and intellectual autonomy
  • Access to institutional-grade technology and data resources
  • A flat, research-focused culture with minimal bureaucracy
  • Competitive compensation aligned with performance
  • This is an opportunity to join a disciplined and ambitious platform where strong ideas are backed with meaningful capital and infrastructure.
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