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- The role will involve significant amounts of research accompanied by rigorous testing of models, while also keeping an eye on the firm's current strategies and their performance.
- Candidates are expected to have a research-like mindset and collaborative attitude to be able to try multiple ideas without getting dejected if they fail.
Responsibilities :
- Research and development of trading strategies via analysis of market data
- Research of potential alpha signals
- Research and development of various Machine Learning models to generate alpha
- Analysis of datasets to generate descriptive statistics and propose potential applications of data
- Developing new applications to assist traders in efficiently operating and monitoring trading strategies
- Working closely with quantitative traders in Bangalore to develop analytics, analyze market data sets, and troubleshoot trading issues.
- Writing highly latency-sensitive and scalable code that will process large amounts of data.
- Developing systems for analyzing and visualizing huge datasets
- Research on new technologies for improved data management and efficient retrieval
Qualifications :
- Excellent knowledge of C++ and python
- Strong in mathematics and should be interested in applied mathematical fields like Machine Learning, Statistical Methods, Filtering, and Signal Processing
- Excellent analytical skills and very good attention to detail
- Good understanding of Object Oriented Programming concepts and C++
- Basic knowledge of financial derivatives is a plus
- Knowledge of shell scripting is a plus
- Experience with open source visualization tools is a plus
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