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Quant Researcher, Mid-Frequency Equities

Durlston Partners • United Arab Emirates
Visa Sponsorship Relocation
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Join a small, high-impact team at a leading global proprietary trading firm to build systematic equity strategies with holding periods from intraday to several days. You will manage the full research cycle, including generating alpha ideas, building signals, constructing portfolios, and monitoring live performance. The role requires 2+ years of systematic equity research experience, an advanced degree in a quantitative field, and strong Python and statistics skills.

Key Highlights
Direct ownership of strategies with clear visibility of contribution to PnL
Highly competitive compensation with market-leading base and significant PnL-linked bonus
Collaborative, non-hierarchical culture with best-in-class data and computing resources
Key Responsibilities
Research and develop predictive signals for global equities from price and volume, order book, fundamental, event-driven and alternative datasets.
Build and improve portfolio construction, risk models and transaction-cost and market-impact models.
Run rigorous, statistically sound backtests, guarding against overfitting, lookahead bias and data-snooping.
Bring strategies into production and monitor live performance, attribution and decay.
Find, evaluate and onboard new datasets to extend existing alphas and create new ones.
Work closely with engineers and other researchers to improve shared research infrastructure.
Technical Skills Required
Python Statistics Machine Learning
Benefits & Perks
Relocation support
Visa sponsorship
Health cover
Meals
Nice to Have
Experience with alternative data: sentiment, NLP, supply chain, web or app data.
Experience across regions, such as the US, Europe and APAC.
Experience with kdb+/q or distributed computing frameworks.
Experience building portfolio optimisers or execution algorithms.

Job Description

Quant Researcher, Mid-Frequency Equities

Firm: Leading global proprietary trading firm

About the firm

Our client is a highly successful proprietary trading firm that trades only its own capital across global markets. It pairs world-class technology with a rigorous, scientific approach to research. Teams are small, collaborative and flat, and researchers have real ownership of strategies and a direct link to PnL.

The role

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