Head of Quant

William O'Neil is part of an international team of IT innovators and market data researchers, who power an exclusive set of global equity research products. Our research team tracks all the major international stock exchanges and equities, and our IT developers advance the utility of investing applications used worldwide. William O'NeilIndia is a subsidiary of William O'Neil+ Co. in the U.S.

The O'Neil Companies : 

For the past half-century, the O- Neil companies have created innovative services to support the equity investing community. All these services are guided by a method of investing created by William J. O- Neil that has helped thousands of institutional and retail investors succeed in the market.

As part of the Quantitative research and trading team, the candidate will be responsible for developing and backtesting trading strategies on Indian and International markets. The candidate will work closely with the investment management team of portfolio managers and other researchers to identify profitable ideas and work closely with developers to productionize these ideas for live trading.

- Analyze financial time series data to identify profitable trading opportunities

- Develop new and improve existing trading strategies using proprietary platforms

- Apply machine learning and statistical analysis methods to get insights from fundamental and other unstructured data.

- Work closely with our data science and investment management teams to provide research insights.

- Assist the team in developing new analytical tools and processes

- Design and implement mathematical models for fundamental valuation of securities. The person will need to understand latest research in quantitative finance and implement the same.

- Conduct performance attribution of live portfolios.

Required Skills :

- Strong candidates should have 6 years + of work experience and successful track record in quantitative analysis preferably in the capital markets domain.

- Post-Graduate degree in statistics, finance, mathematics, engineering (Computer Science preferred) or other quantitative or computational disciplines

- Experience in using some or all of the following packages - Python, R

- Good written and oral communication skills.

- Strong experience working both independently and in a team-oriented collaborative environment.

- Entrepreneurial, self-motivated individual - High energy, high activity levels - passion for working with an innovative, small but rapidly growing company.

- Exposure in setting up AIF / PMS

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.