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- Conduct quantitative research and analysis relating to systematic equity trading, equity alpha generation, and portfolio construction
- Develop intraday trading strategies and equity trading execution
- Develop broad-based statistical arbitrage alphas and trading strategies
- London
- Advanced degree in highly quantitative field, including Mathematics, Statistics, Physics, Computer Science, Financial Engineering, etc.
- 4-10 yrs work experience in alpha research and/or portfolio management
- Versatility in statistical modelling involving linear and non-linear techniques
- Deep understanding of hypothesis testing
- Familiarity with factor-based risk framework
- Strong programming skills. Proficiency in Python is a must.
- Highest level of professional integrity and intellectual honesty
- Strong interpersonal and leadership skills
- Open, curious and growth mindset
- Hungry, hardworking, gritty
- Experience in cash equity, equity futures, ETFs, or ADRs.
- Knowledge of alternative data strategies or KPI predictions
- Experience with equity trading, flow data, algorithmic trading, execution, central risk book, and/or market microstructure
- Experience with intraday trading and transaction cost analysis
- Experience with cloud computing (AWS/Docker/Containers)
- Knowledge and experience in utilizing 3rd party algos
- Knowledge of Pandas, Sklearn, machine learning and NLP are pluses
Associate Portfolio Manager - Greater London, United Kingdom - Balyasny Asset Management L.P.
Description
Associate Portfolio Manager / Quantitative Researcher | BAM Quant PM Team
A growing medium-frequency market-neutral global systematic equities team is looking for an Associate Portfolio Manager or Quantitative Researcher to directly add value to a portfolio through innovative idea generation, scientific research, effective portfolio construction, prudent risk management and efficient trade execution.
This role will work directly with a Quantitative Portfolio Manager on an investment team. The APM/QR will work with the team to:
Competitive discretionary and performance linked compensation.
Location
Qualifications
Preferred Qualifications