Portfolio Researcher

1 week ago

Bengaluru Karnataka, India Millennium Management Full time

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 **_Risk Modeler_** to **_join_** 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 **_Cash Equities Factor modelling, Statistical Factor modeling, tail risk (e.g. VaR, Stress) modeling, performance analytics (e.g. Drawdowns, Sharpe), 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**
- Development of multi-asset class analytics across all MLP strategies, supporting the Office of the CIO across Enterprise-wide initiatives.
- Building a multi-asset class risk and pricing analytics framework. This includes performance attribution, working with relevant asset class pricing model libraries.
- Contributions to the development of multi-asset class content generation as well as centralized visualization tools for the platform used by senior management
- Ownership in developing a quantitative framework for identifying, measuring, managing, and reporting multi-asset class analytics across the platform.
- PM performance measurement and analytics to help inform management decisions.
- Ownership of a multi-asset class stress-testing framework, including research on multi-asset class hedging strategies.
- Capital utilization and allocation models across portfolio manager teams. Cost of liquidation measurement and management, as well as associated returns relative to constrained resources.
- Post initial model development work, coordinate with relevant Technology departments to ensure changes are deployed into to production.

**Qualifications/Skills** Required**
- Hands on experience developing and maintaining risk and/or derivative pricing models.
- Strong programming skills, prior experience with Python (Polars and/or Pandas).
- Proficiency in at least a compiled and statically typed language is a plus.
- Knowledge of mathematical and statistical analytics tools: estimation of linear models, dimensionality reduction techniques e.g. Equity Factor Models, Principal Component Analysis, etc.
- Sense of responsibility and integrity. Intellectual curiosity and entrepreneurial mindset. Willingness to work and have fun in the process.

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