Quantitative Developer, Systematic Equities

Job Description: Quantitative Developer, Systematic Equities Please direct all resume submissions to (HIDDEN TEXT).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 Experience3-5+ years of experience in algorithmic trading systems development, preferably in systematic equity trading markets Experience building analytic tools using KDBExperience 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) #J-18808-Ljbffr