London
On-site
GBP 80,000 - 150,000
Full time
30 days ago
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Job summary
An established industry player is seeking a seasoned quant trader to manage a cash equities portfolio. This role involves researching and developing innovative trading signals while overseeing portfolio construction and risk management. The ideal candidate will have over 10 years of experience in a quant trading environment, a strong academic background with an MSc or PhD, and exceptional programming skills in Python or C++. Join a dynamic team where your expertise will drive strategic trading initiatives and contribute to the firm's success in the competitive financial market.
Qualifications
- 10+ years in quant/systematic trading with a strong portfolio management track record.
- Proficiency in statistical techniques and programming (Python/C++).
Responsibilities
- Manage a quant/stat arb portfolio in cash equities or equity futures.
- Research and develop new trading signals and ideas.
Skills
Quantitative Trading
Statistical Analysis
Portfolio Management
Signal Generation
Data Mining
Programming in Python
Programming in C++
Education
MSc in Mathematics or Statistics
PhD in a related field
Tools
Statistical Models
Back-testing Tools
About the role:
- Managing a quant / stat arb portfolio in cash equities or equity futures
- Researching and developing new signals/ trade ideas
- Managing portfolio construction and risk
- Work alongside quant and development support in roll out of trading strategy and/or infra
About you:
- 10 years+ experience in quant/ systematic trading firm
- Multi-year track record managing investment portfolio
- A MSc/PhD from a top-tier university
- A strong background in mathematics and statistics, with good knowledge of statistical models and signal generation
- Proficiency in back-testing, simulation, and statistical techniques
- Data-mining skills paired up with data analysis skills. Previous experience operating with a large amount of tick/data would be beneficial
- Strong programming skills in Python or C++