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Quantitative Execution Researcher

3-6 Years
  • Posted 17 hours ago
  • Be among the first 10 applicants

Job Description

Quantitative Execution Researcher

Location: Singapore

We are working with a leading global quantitative hedge fund, looking to hire a Quantitative Execution Researcher into its Singapore team.

The team is responsible for developing and refining systematic execution capabilities across a broad range of cash and derivative products. This role combines quantitative research, algorithm development and implementation, with a particular focus on execution algorithms, market impact modelling and transaction cost analysis.

The Role

  • Execution Algorithm Development: Develop specifications for new and enhanced execution algorithms and implement, test and deploy quantitative trading strategies and tools, primarily in Python.
  • Market Impact Modelling: Research and develop models designed to predict and minimise the cost of trading, using large datasets and advanced statistical and machine-learning techniques.
  • Transaction Cost Analysis: Conduct detailed TCA to evaluate execution strategies, understand the drivers of transaction costs and identify opportunities for optimisation.
  • Research & Tooling: Build robust and reusable Python tools to support quantitative research and improve team productivity.
  • Collaboration: Work closely with portfolio managers, traders, technology teams and quantitative researchers to integrate research into the wider investment and execution platform.

What We're Looking For

  • Master's or PhD from a leading university in a highly quantitative discipline such as Computer Science, Mathematics, Statistics, Physics, Engineering or Quantitative Finance.
  • 3–6 years experience in quantitative research and/or development, ideally relating to systematic or execution strategies.
  • Strong Python programming skills, including a solid understanding of data structures and algorithms.
  • Experience working with large-scale datasets and SQL.
  • Strong expertise in regression modelling, time-series analysis and applied machine learning.
  • Exposure to deep learning and/or reinforcement learning is advantageous.
  • C/C++ is a strong differentiator.
  • Strong analytical ability and an interest in applying quantitative research to real-world trading and execution problems.

What's on Offer

  • A highly intellectual, research-driven environment combining academic rigour with real-world trading impact.
  • A culture that values intellectual horsepower, independent thinking and challenging conventional approaches.
  • The opportunity to work alongside exceptional researchers, traders and technologists.
  • Highly attractive compensation package.

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About Company

Job ID: 153335213

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