Quant Researcher - Systematic Equities - Dubai

Quant Researcher - Systematic Equities - Dubai

We are supporting a leading global investment platform in hiring a highly skilled Quantitative Researcher.

This role will focus on building and enhancing a market‑microstructure‑driven research framework for the systematic trading of global equity strategies. The ideal candidate will combine strong statistical and programming expertise with experience handling large financial datasets in a fast‑paced, research‑driven trading environment.

Key Responsibilities

Strategy Research & Development

• Collaborate closely with the Senior Portfolio Manager to design and refine systematic global equities strategies.

• Contribute to idea generation, hypothesis testing, and alpha research.

• Conduct end‑to‑end research including data gathering, cleaning, feature creation, modeling, and backtesting.

Data Engineering & Market Microstructure Research

• Work hands‑on with multiple exchange data sets, ensuring high‑quality data pipelines through assessing, cleaning, and building features.

• Analyze large, complex datasets using advanced statistical learning techniques and market‑microstructure methods.

• Implement scalable, flexible, and efficient data‑extraction frameworks using existing tools.

• Optimize Python and C++ code to support high‑scale systematic research workflows.

• Create new data features and extend existing research infrastructure.

Required Technical Skills

• Strong expertise in Python (data analysis, scientific computing, statistical modeling).

• Proficiency with modern data science tooling:

• Experience with C++ (preferred for feature creation and performance‑critical components).

• Strong understanding of:

• Quantitative finance

• Probability theory

• Regression and statistical modelling

• Mathematical foundations behind systematic trading strategies

• Ability to clearly communicate complex research outputs to stakeholders.

Preferred Experience

• 2+ years working in a systematic trading environment, ideally focused on equities.

• Experience handling and transforming multiple vendor or exchange datasets, including assessing, cleaning, and creating predictive features.

• Track record of collaborating with PMs, engineers, and researchers in a fast‑paced, iterative environment.

Highly Valued Attributes

• Strong intuition for the predictive power of features and datasets.

• Exceptionally rigorous, detail‑oriented, and self‑driven approach to research.

• Ability to work independently while contributing to a collaborative research environment.

• Curiosity, intellectual agility, and motivation to grow rapidly.