Quantitative Developer, Systematic Equities
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)
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