Quantitative Software Developer

Decadatum; Dubai; On-site; AED 400,000 - 650,000; Full time

Job summary

Decadatum is seeking a senior Quant Developer in Dubai to architect and optimize a tick-by-tick backtesting platform. You will tackle large-scale parallel computation and data-intensive workloads to accelerate research cycles.

The role demands strong C/C++ expertise, Python, and a solid understanding of trading systems, market data, and Linux. You will collaborate across teams to deliver robust, scalable solutions while driving innovation.

Qualifications

• Minimum 5 years of practical C programming experience.
• 1–2 years of Python experience.
• Strong background in data structures and algorithms.
• Experience with finance trading systems and market data.
• Experience with Linux.
• Bachelor's in CS/Engineering; Masters preferred.

Responsibilities

• Assist in tick-by-tick backtesting platform development.
• Develop and optimize large-scale parallel computations.
• Improve ML algorithms' efficiency and learning rates.
• Create interfaces/tools for historical data access and simulations.
• Create data analysis tools to inform research decisions.
• Improve live system stability and observability via monitoring.

Skills

C

Python

DS & Algorithms

Trading systems

Market data

Equities trading

Equity derivatives

Education

Bachelor's degree in Computer Science or Engineering

Master's degree preferred

Tools

Linux

Job description

Responsibilities

• Assist in the development of a tick-by-tick backtesting research platform
• Develop and optimize large-scale parallel computation problems requiring large quantities of data shared across resources
• Develop and optimize large-scale parallel computation problems requiring large quantities of data shared across resources
• Enhance the computational efficiency of existing machine learning algorithms to drive higher performance and faster learning rates
• Develop systems interfaces and tools for accessing historical market data and running trading simulations to increase research productivity
• Create tools to analyze data and generate insights to inform research decisions
• Enhance the live system s stability and observability via monitoring and alerting

Qualifications

• Minimum Bachelor s degree in Computer Science Engineering or a related field
• Master s degree preferred
• At least 5 years of practical experience with C and 1 2 years of meaningful experience with Python
• Strong background in data structures and algorithms
• Experience with finance trading systems such as working with order books market data and electronic exchange order management
• Experience with Linux
• Brilliant problem-solving abilities with an attention to detail
• Passion for innovation and building systems from the ground up
• Self-starter attitude with the initiative to work independently and tackle problems
• Capable of managing multiple tasks and making decisions in a fast-paced environment
• Good knowledge of both Equities and Equity Derivatives trading is beneficial
• Minimum Bachelor s degree in Computer Science, Engineering, or a related field (Master s degree preferred)
• At least 5 years of practical experience with C++ and 1 2 years of meaningful experience with Python
• Strong background in data structures and algorithms
• Experience with finance/trading systems, such as working with order books, market data, and electronic exchange order management
• Experience with Linux
• Brilliant problem-solving abilities with an attention to detail
• Passion for innovation and building systems from the ground up
• Self-starter attitude with the initiative to work independently and tackle problems
• Capable of managing multiple tasks and making decisions in a fast-paced environment
• Good knowledge of both Equities and Equity Derivatives trading is beneficial