Algorithmic Trading Researcher & Microstructure Expert

I Energizer , Noida; Abu Dhabi; On-site; AED 500,000 - 800,000; Full time

Job summary

We are seeking a quantitative and research-driven Algorithmic Trading Researcher to develop systematic trading strategies, investigate market behavior, and analyze the mechanisms that influence liquidity, execution quality, and price formation.

This role blends quantitative research, statistical modeling, algorithm development, market microstructure analysis, and execution optimization to support data-driven trading decisions across relevant financial markets.

Qualifications

• Bachelor's or master's degree in a quantitative field as listed.
• Experience in quantitative research or algorithmic trading is expected.
• Strong foundation in probability, statistics, linear algebra and time-series analysis.

Responsibilities

• Conduct quantitative research to identify potential trading signals and opportunities.
• Develop, test, and refine algorithmic trading strategies using historical market data.
• Analyze market microstructure: order book dynamics, spreads, price formation.
• Backtest strategies with realistic execution assumptions and measure performance.
• Collaborate with traders, engineers, and risk professionals to implement research results.
• Maintain reproducible research code and data pipelines.

Skills

Python

C++

Time-series analysis

Statistics

Quantitative finance

Backtesting

Education

Bachelor's or Master's in Quantitative Finance/Financial Engineering/Mathematics/Statistics/CS/Physics/Economics

Tools

NumPy

pandas

SciPy

scikit-learn

SQL

Job description

We are seeking a quantitative and research-driven Algorithmic Trading Researcher to develop systematic trading strategies, investigate market behavior, and analyze the mechanisms that influence liquidity, execution quality, and price formation.

This role blends quantitative research, statistical modeling, algorithm development, market microstructure analysis, and execution optimization to support data-driven trading decisions across relevant financial markets.