Global Financial Services Company with significant operations in London, Amsterdam, Chicago and Australia/Asia. Our success is based on creating and leveraging market leading trading and technology. To do this we employ the very best people across all our business units and provide them with the best tools and support to do a great job. Our drive and ambition has already seen the company grow at a phenomenal pace with over 250 people employed globally and continued plans for expansion.
Department Overview:
The trading team trades on various financial markets using own capital and taking on relatively low risk trades. Firm trades in a high frequency, risk-averse fashion with a technology and automation focus. Our traders have an in-depth understanding of different trading strategies and system design.
Key Responsibilities:
- Develop and back test fully automated algorithm trading strategies
- Generate trading strategies from concept to implementation
- Design internal systems where necessary in relation to strategy execution, risk management and back-testing framework
- Focus on high frequency, risk averse market making, arbitrage and spread strategies
- Recommend off the shelf systems where appropriate or design internal systems where necessary for: database framework for back testing and trade decision making; trade strategy testing and implementation
- Oversee the set-up of and growth of an algorithmic trading team in Chicago (including recruitment of high performance team members, system design and trading strategy)
- Overall responsibility for P + L
Experience and Qualifications:
- Minimum 3 years high frequency/algorithmic/quantitative trading experience
- Experience managing a high performing, highly profitable team
- Substantial practical experience in designing an algorithmic trading framework
- Significant practical experience in designing and developing fully automated low risk HFT strategies with average hold times from sub second to intraday.
- Ability to interact fluently with the trading, development and quant departments
- Experience and ability to develop and back test fully automated algorithm trading strategy
- Experience developing market proven trading strategies with Sharpe ratios above 3
Skills & Attributes:
- Quantitative finance background preferred
- Experience in C++ and/or Matlab and/or R desirable
- Able to work in a time-pressured and dynamic environment with a high degree of accuracy, while maintaining focus and concentration
- Good interpersonal skills and communication for dealing with other departments.
- Confident manner
- Excellent team player