
Senior Portfolio Researcher
at Millennium
Posted a day ago
No clicks
- Compensation
- Not specified
- City
- Not specified
- Country
- Not specified
Currency: Not specified
Join Millennium’s Global Risk Management team to develop and maintain quantitative frameworks used by portfolio managers and senior leadership. You will build and implement models for factor modelling, tail and liquidity risk measurement, portfolio analysis, and optimization toolkits. The role involves collaborating with Tech to productionize models and working closely with Risk, Portfolio, and Business Managers to apply frameworks in daily workflows. Strong programming skills and substantial experience in equity risk modeling and quantitative methods are required.
Millennium’s Global Risk Management Department is responsible for identifying, measuring, monitoring, managing, and reporting on the risks associated with Millennium portfolios. Our Risk Management organization is designed to accommodate the overall size, nature, and complexity of the firm’s trading activities.
We are looking to add an inquisitive minded Portfolio Researcher to our team. You will have the opportunity to develop and maintain the quantitative frameworks used by our portfolio managers and senior management teams. You will be responsible for the framework which involves factor modelling, tail risk and liquidity risk measurements, portfolio analysis, and developing optimization toolkits. If you're passionate about quantitative finance, portfolio management, and applied statistics, we'd love to hear from you.
Principal Responsibilities
- Assisting in building various parts of quantitative framework
- Work with Tech department to put into production quantitative models
- Collaborate with the Risk, Portfolio, and Business Managers to ensure accurate application of the quantitative framework in day-to-day workflows
- Research and implement various research models including factor models, and risk assessments
Qualifications/Skills Required
- Degree in a technical or quantitative field; advanced degrees preferred
- Strong programming skills, experience with programming languages (SQL, R, Python)
- Substantial years of experience in equity risk modeling and quantitative models
- Strong written and verbal communications with the ability to communicate with Portfolio Managers and Traders
- Ability to work independently and in ambiguous environments





