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Quantitative Researcher

Point One - Hedge Fund TalentDubai, United Arab Emirates

International applicants
Full Time
Accounts, Finance & Financial Services

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Company name

Point One - Hedge Fund Talent

Company type

Private

Job type

Full Time

Salary range

Not Specified

Location

Dubai, United Arab Emirates

Qualifications

Bachelor's Degree

Experience

0-2 years

Functional area

Accounts, Finance & Financial Services

International applicants

Yes

About this role

A leading multi-strategy investment firm is seeking a Quantitative Researcher to join a high-performing systematic equities team in Dubai, United Arab Emirates. This is a front-office opportunity focused on the research, development and implementation of data-driven investment strategies across global equity markets. Connect with Point One to explore this exciting role!

Looking for a Quantitative Researcher at Point One - Hedge Fund Talent in Dubai, United Arab Emirates? This role focuses on the day-to-day work of a Quantitative Researcher.

A leading multi-strategy investment firm is seeking a Quantitative Researcher to join a high-performing systematic equities team. This is a front-office opportunity focused on the research, development and implementation of data-driven investment strategies across global equity m

Company Overview

Point One is a premier global hedge fund talent business specializing in connecting outstanding candidates with elite hedge funds. With deep industry knowledge and a reputation for trustworthiness, Point One operates across global talent markets including New York, Chicago, London, Geneva, Paris, Dublin, United Arab Emirates, Hong Kong, Singapore, and Sydney.

Quick Details

  • Salary Range: Not Specified
  • Job Type: Full-time
  • Experience: 2 Year+
  • Qualifications: Bachelors Degree

Key Responsibilities

  • Research and develop quantitative signals and alpha factors across global equity markets.
  • Analyze large-scale market, fundamental and alternative datasets to identify investment opportunities.
  • Design, test and refine systematic investment strategies using robust quantitative methodologies.
  • Conduct statistical analysis and backtesting to evaluate the predictive power of signals and models.
  • Partner closely with Portfolio Managers to generate actionable investment insights.
  • Contribute to portfolio construction, risk management and performance attribution processes.
  • Develop and maintain research tools, analytical frameworks and data infrastructure.
  • Evaluate new datasets, modelling approaches and machine learning techniques to enhance research capabilities.
  • Monitor live strategies and investigate drivers of portfolio performance.
  • Collaborate with researchers, engineers and investment professionals to improve the overall investment process.

Requirements

  • 2-8 years of experience within quantitative research, systematic equities, statistical arbitrage or a related investment strategy.
  • Open to exceptional PhD/Postdoctoral candidates with backgrounds in Machine Learning, AI, Statistics, Mathematics, Physics or Computer Science.
  • Candidates from leading technology and AI research organisations with expertise in neural networks and advanced modelling techniques are also encouraged to apply.
  • Experienced Quantitative Researchers with a strong academic background and track record of alpha generation within systematic equities are of particular interest.
  • Strong understanding of statistics, probability, data analysis and quantitative modelling.
  • Advanced Python programming skills and experience working with large datasets.
  • Experience developing and evaluating predictive signals or systematic investment strategies.
  • Excellent analytical, problem-solving and communication skills.

Benefits

  • Significant exposure to investment decision-making within a collaborative, research-intensive environment.
  • Opportunity to work with a high-performing systematic equities team.
  • A culture that values innovation, intellectual curiosity and rigorous analytical thinking.
  • Connect with leading hedge funds globally.

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