Quantitative Researcher: Live Low-Latency Trading

Muwazana; Dubai; On-site; AED 350,000 - 550,000; Full time

Job summary

Muwazana seeks a highly skilled Quantitative Researcher to advance trading strategies using statistical and machine learning methods. You will research, develop, and refine models that operate in live, low-latency environments with engineers to turn data-driven insights into robust algorithms.

You will work on large datasets across markets, applying sophisticated analytics, and ensuring alignment with risk management.

Qualifications

• 3-5 years of experience in quantitative trading, machine learning research, or statistical modeling.
• Strong programming skills in Python.
• Degree in Mathematics, Statistics, CS, or related field.
• Experience in high-frequency trading environments is a plus.

Responsibilities

• Conduct quantitative research to improve trading models and strategies
• Apply statistical and machine learning methods to large and diverse datasets
• Analyze financial data to identify patterns, signals, and correlations
• Work closely with developers to design and refine trading algorithms
• Ensure models and strategies align with risk management requirements

Skills

Python

Statistics

Machine learning

Quantitative trading

Data analysis

Education

Math/Stats/CS degree

Tools

Pandas

NumPy

Low-latency platforms

Job description

Muwazana seeks a highly skilled Quantitative Researcher to advance trading strategies using statistical and machine learning methods. You will research, develop, and refine models that operate in live, low-latency environments with engineers to turn data-driven insights into robust algorithms.

You will work on large datasets across markets, applying sophisticated analytics, and ensuring alignment with risk management.