Role Purpose:
- Backtesting algorithmic trading strategies
- Transaction cost analysis of client orders and trades
Principal Accountabilities:
- 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
Knowledge & Experience / Qualifications:
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, MongoDB
4. 2-6 years- experience working with financial data or tick data
5. Spreadsheet development experience (Excel and VBA)
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