Quantitative Developer| Systematic Equities

Job description
Job Description: Quantitative Developer, Systematic Equities

Please direct all resume submissions to QuantTalentEUR@mlp.com.

Millennium is a top tier global hedge fund with a strong commitment 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 other team members to implement and improve an efficient systematic equity backtester tool used for both simulation and live trading
• Create visualization and analyzing tools for the input and output of the backtest
• Design and implement trading systems, ensuring reliability, scalability, and timely execution
• Develop, optimize, and maintain software applications for larger scale equity trading
• Work closely with infrastructure team to connect trading strategies to the firm’s trading infrastructure and connectivity
• Conduct thorough testing and debugging of software components, resolving any issues or discrepancies
• Work with and centralizing multiple vendor data sets
• Stay up-to-date with the latest developments in technology and trading practices to continuously enhance systems
• Provide technical support and mentorship to junior developers, promoting best practices and knowledge sharing

Preferred Technical Skills
• Expert in KDB/Q and Python
• Proficient in modern data science tools stacks (Jupyter, pandas, numpy, sklearn) with machine learning experience
• Good understanding of using Slurm or similar parallel computing tools
• Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related STEM field from top ranked University
• Proficient in quantitative analysis, mathematical modelling, statistics, regression, and probability theory
• Proficient in professional software development methodologies, version control systems, unit testing and debugging tools, and micro-services architecture
• Deep understanding of financial markets, including equity markings, corporate actions, hedging
• Excellent communication, problem-solving, and analytical skills, with the ability to quickly understand and apply complex concepts

Preferred Experience
• 3-5+ years of experience in algorithmic trading systems development, preferably in systematic equity trading markets
• Experience building analytic tools using KDB
• Experience using tools, such as MOSEK, for systematic equity hedging and optimizing
• Experience working with and centralizing multiple vendor data sets
• Experience analyzing metrics for performance and risks for systematic equity trading
• Experience collaborating effectively with cross functional teams, multitasking and adapting in a fast-paced environment

Highly Valued Relevant Attributes
• Entrepreneurial mindset
• Ability to multitask and adapt
• Curiosity and eagerness to learn and grow professionally
• Self-motivated, detail-oriented, and able to work independently in a fast-paced environment

Target Start Date
• ASAP (maximum NCA of 3 months)