Requirements
Requires a minimum of 5 years of quantitative research experience in a hedge fund, proprietary trading firm, or similar systematic investment environment. Must have proven experience researching and developing systematic equities strategies, with a demonstrable track record of strong performance. Strong programming skills, ideally in Python, and exceptional quantitative and analytical skills are essential. An outstanding academic background, preferably including a PhD in a quantitative discipline, is highly desired.
Description
Job description / Role
Job Type
Full Time
Job Location
Dubai, UAE
Nationality
Any Nationality
Salary
Not Specified
Gender
Not Specified
Arabic Fluency
Not Specified
Job Function
Finance, Business Analysis & Consulting
Company Industry
Finance, Investment & Asset Management
Compensation and Location
$150,000 - 200,000 USD
Performance related bonuses
Onsite working
Location: Dubai, United Arab Emirates
Type: Permanent
Company Overview
My client is a highly successful systematic hedge fund with an established track record in quantitative equities investing. Following a sustained period of strong performance and asset growth, the firm is continuing to expand its global equities business and is seeking an experienced quantitative researcher to help drive the next phase of growth.
The firm has built a robust and scalable investment platform, enabling researchers to focus on generating alpha and improving portfolio performance rather than building infrastructure from scratch. With a highly collaborative culture and integrated investment process, successful researchers can see their ideas deployed and contributing to live PnL far more quickly than within traditional multi-manager environments.
The Opportunity
The successful candidate will work across the full research lifecycle, from alpha generation and signal research through to portfolio construction, optimisation, implementation, and performance analysis. The role offers significant intellectual freedom, direct exposure to investment outcomes, and the ability to leverage an existing platform, data ecosystem, and technology stack to accelerate research productivity and strategy deployment.
Key Responsibilities
Research, develop, and enhance systematic equity investment strategies across global markets.
Generate novel alpha signals using fundamental, alternative, and market-derived datasets.
Conduct rigorous statistical analysis, hypothesis testing, and signal validation.
Design and improve portfolio construction and optimisation frameworks.
Analyse factor exposures, risk characteristics, and performance attribution.
Collaborate closely with researchers and technology teams to transition research into production.
Monitor live strategy performance and identify opportunities for continuous improvement.
Contribute to the firm's broader research agenda and investment process development.
Requirements
Minimum 5 years' experience in quantitative research within a hedge fund, proprietary trading firm, or similar systematic investment environment.
Proven experience researching and developing systematic equities strategies.
Demonstrable track record of producing research that has generated strong live or simulated performance, ideally with strategies exhibiting Sharpe ratios of 2-3+.
Deep understanding of alpha research, factor modelling, portfolio construction, and optimisation techniques.
Strong programming skills, ideally in Python, with experience handling large and complex datasets.
Ability to independently drive research projects from initial idea generation through to implementation and monitoring.
Exceptional quantitative and analytical skills with a rigorous scientific approach to research.
Outstanding academic credentials, ideally including a PhD in a quantitative discipline such as mathematics, physics, statistics, computer science, engineering, or a related field.
What's on Offer
Opportunity to join a growing and well-capitalised systematic investment firm with a strong performance track record.
Access to an established platform, extensive datasets, and mature research infrastructure.
Collaborative culture that rewards intellectual curiosity, innovation, and investment impact.
Ability to see successful research translated into live trading and PnL generation rapidly.
Significant autonomy and ownership over research initiatives.
Competitive compensation structure with meaningful upside linked to performance.
Work alongside a highly accomplished team of investors, researchers, and technologists.
Apply Now