Quantitative Developer Systematic Equities

Quantitative Developer Systematic Equities Job Description: Quantitative Developer, Systematic Equities Please direct all resume submissions to . 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. Disclaimer: Naukrigulf.com is a platform connecting jobseekers and employers. Applicants should verify the legitimacy of employers independently. We do not endorse requests for money or sharing personal/bank details. For security advice, visit our site. Report fraud to #J-18808-Ljbffr