Quantitative Researcher

Quantitative Researcher

Millennium is a global hedge fund with more than 3,000 employees and offices in the United States, Europe and Asia.  We were founded in 1989, and we employ a global multi-strategy investment approach, opportunistically engaging in a broad array of trading and investing strategies. Millennium has differentiated itself from other investment management firms through our consistent ability over the last 30 years to generate returns that have not been correlated to the general market.

The talent and dedication of our people are critical to our success. We offer an opportunity for developing one’s professional career while working with individuals trained in a variety of disciplines in a collegial and dynamic environment. We also offer a broad range of competitive benefits on a global basis.

Job Function Summary

The quantitative researcher will be part of the team that builds the quantitative framework used to support the investment and management decisions of our portfolio managers and senior management.  This framework involves factor models, tail risk and liquidity risk measurement techniques, portfolio analysis and optimization toolkits.  The ideal candidate would have a strong background and experience in quantitative finance, portfolio management and applied statistics.

Principal Responsibilities

• Assist in building a scientific and quantitative platform to support the investment and management decisions of the MLP senior management
• Work closely with the Tech department to ensure proper production of the quantitative models
• Contribute in building and maintaining the quantitative risk models used by the Risk Team as well as Equities Portfolio Managers
• Assist in building and maintaining tail risk and liquidity risk management methodologies
• Improve performance measurement and capital allocation processes
• Work closely with the Risk, Portfolio and Business Managers to ensure proper application of the quantitative framework in day-to-day workflows
• Examples of projects this individual would be involved in include: factor models, capital allocation/utilization, performance evaluation metrics, and PM/Management dashboards

Qualifications/Skills Required

• Masters or PhD degree from a leading university in a highly analytical field, such as Mathematics, Statistics, Computer Science, Physics, Economics, Financial Engineering or any other related field that is highly analytical and quantitative
• Superior programming skills in R and SQL, statistics and data analysis background is essential
• Strong experience in risk modelling and portfolio construction
• Experience in building and maintaining tail risk and liquidity risk management
• Demonstrated ability to conduct independent research using large data sets
• Strong experience in building quantitative equities models
• Excellent communication skills both written and verbal
• Good team player – one who is able to prioritize in a fast moving, high pressure, constantly changing environment
• Ability to work with Portfolio Managers and Traders in Europe and Asia and build smooth working relationships