Cross Asset Prop Trading Firm Hiring Quant Researcher/ Hong Kong
2 weeks ago
Role:- Perform statistical analysis of historical and current financial market data Process large datasets to detect hidden signals and patterns in order to predict future events Devise and improve pricing models with use of sophisticated statistics models and machine learning techniques Take an idea from inception, through to detailed research, coding, and testing, and ultimately to production release Work with trading and IT team to implement and test trading strategies Requirements:- Degree in Finance, Math, Statistics, Economics, or Computer Science preferred 3-5 years of relevant work experience in proprietary trading, hedge fund, investment banks etc Knowledge in machine learning is a plus Experience in algorithmic/ HFT trading/statistical arbitrage trading is a plus Experience in real-time data feed handling, time series analysis and statistical modelling Strong quantitative programming skills in languages such as Python, R are a must, C++, Matlab, SAS are recommended Self-starter that can lead and work independently Strong command of spoken and written English Apply:- Please send a PDF resume to quants@ekafinance.com
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