We are looking for quantitative researchers to develop and oversee the execution of purely quantitative trading strategies in the equity and derivatives markets.
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 out new ideas and build on existing ones.
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
- Analysis of datasets to generate descriptive statistics and propose potential applicationsof the same
- Developing new applications to assist traders in efficiently operating and monitoringtrading strategies
- Working closely with quantitative traders in Bangalore to develop analytics, analyzemarket data sets, and troubleshoot trading issues
- Writing highly latency-sensitive and scalable code that will process large amounts ofdata
- Developing systems for analyzing and visualizing huge datasets
- Research on new technologies for improved data management and efficient retrieval
Required Skills:
- Excellent knowledge of C++ and python
- Strong in mathematics and should be interested in applied mathematical fields likeMachine Learning, Statistical Methods, filtering, 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
- Experience with working on linux platform
- Knowledge of shell scripting is plus
- Good communication skills and interpersonal skills.
- Self motivated with an ability to work on assignments with minimal supervision
- Experience with open source visualization tools is a plus
Qualification:
- B.Tech or Dual Degree in Computer Science or similar from IIT or similar colleges
- AIR below 500
- CGPA above 8.5
Benefits:
- Competitive Salary with high performing bonuses
- Five weeks paid vacation
- International company offsite
- Private Health Insurance
- Friendly and motivating work environment
- Month end parties
- Gym membership