What are the responsibilities and job description for the Volatility Quantitative Researcher, Systematic Equities position at Millennium?
Volatility Quantitative Researcher, Systematic Equities
Please send resume submissions to QuantTalent@mlp.com.
Millennium is a top tier global hedge fund with a strong commitment to leveraging market innovations in technology and data to deliver high-quality returns.
Job Description
Volatility Quantitative Researcher as part of a small, collaborative team based in New York, with a focus on systematic equity and volatility strategies
Location
Open globally
Principal Responsibilities
Please send resume submissions to QuantTalent@mlp.com.
Millennium is a top tier global hedge fund with a strong commitment to leveraging market innovations in technology and data to deliver high-quality returns.
Job Description
Volatility Quantitative Researcher as part of a small, collaborative team based in New York, with a focus on systematic equity and volatility strategies
Location
Open globally
Principal Responsibilities
- Work alongside the SPM on developing volatility futures spreads and outright systematic strategies, on listed futures globally, with a primary focus on: idea generation, data gathering and research/analysis, model implementation and backtesting for systematic volatility strategies
- Conduct research on global systematic option markets, with a focus on single stocks vs index spreads and selected bespoke ETFs, to generate signals for systematic equity volatility strategies
- Combine sound financial insights and statistical learning techniques to explore, analyze, and harness a large variety of datasets in order to build strong predictive models which will be deployed to the investment process
- Assist in automating the research, execution, and production framework of the trading environment
- Monitor strategy performance in production
- Collaborate with the SPM in a transparent environment, engaging with the whole investment process
- Strong research and programming skills, primarily in Matlab/Python, SQL, and KDB
- Strong Linux knowledge
- Masters or PhD degree in a quantitative subject such as Computer Science, Applied Mathematics, Statistics, or related field
- Minimum of 2 years of experience as a quantitative analyst/trader in volatility
- Demonstrated ability to conduct independent research using large data sets
- Candidates with quantitative development experience will be considered as well, provided they also have relevant research experience
- Strong economic intuition and critical thinking
- Product experience in statistical arbitrage strategies and volatility trading
- Will wait 3 months
Salary : $150,000 - $200,000