Level E is an Edinburgh-based research boutique specialising in the development of automated trading systems. They are currently looking for a machine learning postdoc researcher with strong programming skills to join their research team.
Research Analyst Specifications:
Researcher to join our research team’s efforts in developments of trading models using cutting edge machine learning techniques. Although experience in finance is not required, the candidate must be enthusiast about making the transition to developments in the financial arena. Strong communication skills and team orientation are essential.
Experience in the following areas is required:
- Numerate or quantitative academic background, at PhD level, coupled with research experience
- Good knowledge of machine learning and/or optimisation: probabilistic modelling, support vector machines, Monte Carlo simulations, neural networks, genetic algorithms, fuzzy systems, artificial immune systems, learning classifier systems, data mining, etc….
- Java, C++/C programming experience (preferably in large scale, high performance, multi-threaded Unix environments)
- High-frequency data analysis and mathematical/econometric skills that turn such data into successful trading strategies
- Financial data research, time-series analysis and/or portfolio management
- Systems modelling, signal detection in experimental data
Knowledge of one or more of the following areas is advantageous:
- Experience in various stages of development life cycle such as requirements gathering, drafting technical specifications, development, testing, and post-implementation support
- Familiarity with databases, and systems modeling and statistics
- Multi threading coding, Unix and Perl skills and source control
Key Responsibilities
- Contribute to the Design and develop new trading system’s learning engine, including interfaces with high-frequency market data feeds and client’s data bases within the FOREX and equities markets
- Conduct machine learning research using intra day (tick) data and develop predictive models for equities, FOREX and other asset classes
- Help design and back-test automated trading strategies capturing real needs of potential clients
- Communicate with the rest of the team to share market and research insights and collaborate with software developments
- Understand the business demand such as portfolio management, signal research, transition services, trading technology and risk management
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