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Quantitative Researcher - Multi Asset

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Onsite

Quantitative Researcher - Multi Asset

Alexander Chapman

Quantitative Researcher - Multi Asset

Skills

PythonMachine LearningRisk Management

12 days ago

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Important information


Contract type:

Permanent

Location:

New York, NY, USA

Work mode:

Onsite

Published on:

17 October 2026

What they need


Quantitative Researcher – Multi-Asset

Mid to Senior Level | Leading Hedge Fund

Overview

A leading hedge fund is seeking a talented Quantitative Researcher to join its investment team, developing and implementing systematic strategies across multiple asset classes. This is an opportunity to work alongside experienced researchers, portfolio managers and technologists in a highly collaborative, research-driven environment, with direct exposure to live trading strategies and investment performance.

Responsibilities

  • Research, develop and backtest quantitative trading strategies across multiple asset classes, including equities, futures, FX, fixed income and commodities.
  • Identify new sources of alpha through statistical modelling, machine learning, time-series analysis and advanced quantitative techniques.
  • Analyse large, complex datasets to uncover market inefficiencies and develop predictive signals.
  • Build robust research frameworks, ensuring strategies are statistically sound, scalable and suitable for live deployment.
  • Collaborate closely with portfolio managers, traders and quantitative developers to translate research into production-ready trading strategies.
  • Monitor strategy performance, conduct rigorous performance attribution and continuously refine existing models.
  • Contribute to portfolio construction, risk management and the optimisation of investment strategies.

Requirements

  • Strong academic background in a quantitative discipline, such as Mathematics, Statistics, Physics, Computer Science, Engineering or a related field.
  • Experience in quantitative research within a hedge fund, proprietary trading firm or another quantitative investment environment.
  • Strong programming skills in Python and/or C++, with experience working with large datasets and research infrastructure.
  • Solid understanding of statistical modelling, time-series analysis, probability, optimisation and quantitative finance.
  • Demonstrated ability to develop and validate quantitative signals, with a strong understanding of backtesting methodologies and the challenges of live implementation.
  • Experience researching strategies across multiple asset classes is highly desirable.
  • Strong analytical, problem-solving and communication skills, with the ability to work independently and collaboratively.

The Opportunity

  • Join a leading hedge fund with a strong quantitative investment culture.
  • Work on research with a direct impact on live trading and investment performance.
  • Collaborate with experienced investment professionals across research, trading and technology.
  • Access a sophisticated research and data infrastructure.
  • Competitive compensation package, commensurate with experience and performance.

Level: Mid-level to Senior Quantitative Researcher

If you or anyone in your network might be a good fit, feel free to reach out to [email protected] .

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