Quantitative Developer, Systematic Equities

Millennium


Date: 3 weeks ago
City: Dubai
Contract type: Full time
Job Description: Quantitative Developer, Systematic Equities

Please direct all resume submissions to [email protected].

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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