Job Description : Quantitative Developer, Systematic Equities
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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 PythonProficient in modern data science tools stacks (Jupyter, pandas, numpy, sklearn) with machine learning experienceGood understanding of using Slurm or similar parallel computing toolsBachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related STEM field from top ranked UniversityProficient in quantitative analysis, mathematical modelling, statistics, regression, and probability theoryProficient in professional software development methodologies, version control systems, unit testing and debugging tools, and micro-services architectureDeep understanding of financial markets, including equity markings, corporate actions, hedgingExcellent communication, problem-solving, and analytical skills, with the ability to quickly understand and apply complex conceptsPreferred Experience
3-5+ years of experience in algorithmic trading systems development, preferably in systematic equity trading marketsExperience building analytic tools using KDBExperience using tools, such as MOSEK, for systematic equity hedging and optimizingExperience working with and centralizing multiple vendor data setsExperience analyzing metrics for performance and risks for systematic equity tradingExperience collaborating effectively with cross functional teams, multitasking and adapting in a fast-paced environmentHighly Valued Relevant Attributes
Entrepreneurial mindsetAbility to multitask and adaptCuriosity and eagerness to learn and grow professionallySelf-motivated, detail-oriented, and able to work independently in a fast-paced environmentTarget Start Date
ASAP (maximum NCA of 3 months)J-18808-Ljbffr