Quantitative Developer, Systematic Equities

Millennium; Dubai; On-site; AED 293,000 - 478,000; Full time

Job summary

A leading global hedge fund seeks a Quantitative Developer in Dubai. This position involves developing systematic trading platforms for global equity strategies, requiring expertise in KDB/Q and Python, along with a strong foundation in quantitative analysis and algorithmic trading systems. As a key team member, you will support strategy development, enhance trading systems, and mentor junior staff, all within an innovative financial environment.

Qualifications

• 3-5+ years in algorithmic trading systems development preferred.
• Experience building analytic tools using KDB.
• Familiarity with financial markets and trading systems required.

Responsibilities

• Collaborate with the Senior Portfolio Manager on systematic equities backtesting.
• Develop and maintain trading systems ensuring timely execution.
• Provide mentorship to junior developers.

Skills

Expertise in KDB/Q

Python

Quantitative analysis

Machine learning

Mathematical modeling

Debugging

Analytical skills

Problem-solving

Education

Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related STEM field

Job description

Quantitative Developer Systematic Equities

Job Description: Quantitative Developer, Systematic Equities

Please direct all resume submissions to [e-mail].

Millennium is a top-tier global hedge fund committed to leveraging market innovations in technology and data to deliver high-quality returns.

Job Description

We are seeking a quantitative developer to partner with the Senior Portfolio Manager in developing a systematic backtesting, visualization/analyzing, and trading platform for global equity strategies.

Location

London or Dubai preferred

Principal Responsibilities

• Collaborate with the Senior Portfolio Manager and team members to implement and improve an efficient systematic equity backtester used for both simulation and live trading.
• Create visualization and analysis tools for backtest inputs and outputs.
• Design and implement reliable, scalable trading systems ensuring timely execution.
• Develop, optimize, and maintain software applications for large-scale equity trading.
• Work closely with the infrastructure team to connect trading strategies to the firm's trading infrastructure and connectivity.
• Conduct thorough testing and debugging of software components, resolving issues as they arise.
• Work with and centralize multiple vendor data sets.
• Stay updated with technological and trading practice developments to enhance systems continuously.
• Provide technical support and mentorship to junior developers, promoting best practices and knowledge sharing.

Preferred Technical Skills

• Expertise in KDB/Q and Python.
• Proficiency with modern data science tools (Jupyter, pandas, numpy, sklearn) and machine learning experience.
• Understanding of parallel computing tools like Slurm.
• Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related STEM field from a top-ranked university.
• Proficiency in quantitative analysis, mathematical modeling, statistics, regression, and probability theory.
• Experience with software development methodologies, version control, unit testing, debugging, and micro-services architecture.
• Deep understanding of financial markets, including equity markings, corporate actions, and hedging.
• Excellent communication, problem-solving, and analytical skills, with the ability to grasp and apply complex concepts quickly.

Preferred Experience

• 3-5+ years in algorithmic trading systems development, preferably in systematic equity markets.
• Experience building analytic tools using KDB.
• Experience with tools like MOSEK for systematic equity hedging and optimization.
• Experience working with and centralizing multiple vendor data sets.
• Experience analyzing performance and risk metrics for systematic equity trading.
• Ability to collaborate across teams, multitask, and adapt in a fast-paced environment.

Highly Valued Attributes

• Entrepreneurial mindset.
• Ability to multitask and adapt.
• Curiosity and eagerness to learn and grow professionally.
• Self-motivated, detail-oriented, and capable of working independently in a fast-paced setting.

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