Quantitative Analyst, Global Equity Trading
- Londres, Angleterre, Royaume-Uni
- CDI, Plein-temps
- Fidelity Investments
- 10 janv. 18 2018-01-10
The Position The successful candidate will join a team of quantitative analysts working to measure and enhance Fidelity’s Global Equity Trading desk process.
The successful candidate will join a team of quantitative analysts working to measure and enhance Fidelity’s Global Equity Trading desk process. Specific responsibilities include:
•Conduct analysis of global trading and market data to measure various aspects of Fidelity’s equity trading process. This includes pre-trade analytics, real time execution guidance and post trade transaction cost analysis
•Identify underlying factors, provide decision support tools and develop mathematical models and recommendations for improving our trading process
•Work in collaboration with data teams to identify potential new and valuable data sources for statistical modeling
•Work with traders, trading management and portfolio managers to refine and enhance existing trading quantitative research capabilities
•Participate in ad hoc work undertaken for clients and prospects
The position is based in London and will report to the Head of Global Quantitative Analysis.
•Bachelor’s Degree in Mathematics, Statistics, Economics or Engineering
•Programming skills using either KDB/Q, R, Python, JAVA, C++ or Matlab required
•Minimum 2 years of relevant industry experience preferred
Knowledge of the following is highly desirable:
•Investment Management life cycle, equity trading strategies and algorithms
•Equity Market Microstructure - particularly European & Asian markets
•Mathematical modeling in the pre, real-time and post trade analytics space
•Experience working with big data, charting/visualization tools like Tableau etc.
•Bloomberg terminal, data & related APIs
Other requirements include: track record of intellectual curiosity and research innovation; self-starter who thrives in a dynamic and entrepreneurial team environment; work with changing priorities and challenging schedules; open-mindedness to different views and new ideas; comfortable communicating/presenting research findings and ideas