Quantitative Researcher

Muwazana; Dubai; Presencial; AED 350.000 - 550.000; Jornada completa

Descripción de la vacante

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.

Formación

• 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.

Responsabilidades

• 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

Conocimientos

Python

Statistics

Machine learning

Quantitative trading

Data analysis

Educación

Math/Stats/CS degree

Herramientas

Pandas

NumPy

Low-latency platforms

Descripción del empleo

About the Job

We’re looking for a Quantitative Researcher to research, develop, and enhance trading strategies using statistical and machine learning techniques. In this role, you’ll collaborate closely with engineers to turn data-driven insights into robust trading algorithms operating in live, low-latency environments.

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

Requirements

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

Preferred Background & Skills

• Experience working in quantitative trading or market-making firms
• Exposure to live trading systems and real-time data
• Familiarity with low-latency or performance-sensitive environments
• Strong statistical modeling and machine learning expertise
• Analytical and methodical approach to research and model development
• Excellent problem-solving abilities and attention to detail
• Clear communication and strong collaboration skills