C++ Java Python Languages Programming Kdb Quantitative Research Quantitative Analysis Cost Analysis
Experience
3 to 7 Years
Industry
ITES / BPO / KPO / Outsourcing
Functional Area
Software Development - Application Programming
Quantitative analysis of algorithmic client order executions - Microstructure research of equity markets - Backtest improvements to existing algorithmic trading strategies - Ad-hoc quantitative research for electronic clients - Alpha modeling for algorithmic trading strategies - Quick turnaround of quantitative analysis - Design alpha/improvements to algorithmic trading strategies - Backtesting various strategies and presenting the results - Positive feedback from the desk. - Assisting other members of the Cash Equities Quant team with technical issues - Assisting IT with any integration issues they may have with using our libraries. - Develop and maintain a framework for backtesting trading strategies - Assist IT to deploy the framework - Automate periodical cost analysis reports - Work with the KDB team for data requirements - Development of visualization tools (data watch) relevant to the needs of the desk/team Requirement: 1. Graduate / post-grad qualification from a top tier university in applied mathematics or statistics or engineering 2. Experience in python, Java, C++ or other programming languages 3. Experience with databases - KDB, Mongo DB 4. Experience working with financial data or tick data 5. Spreadsheet development experience (Excel and VBA)"