Risk Analyst (Equity Derivatives).

Risk Analyst (Equity Derivatives)

Equity Derivatives Researcher Millennium’s Global Risk Management Department is responsible for identifying, measuring, monitoring, managing, and reporting on the risks associated with Millennium equity derivatives 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 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 risk framework which involves  consistently evolving metrics, improved valuation methodologies and clear identification and resolution of issues associated with inadequate risk measurement. You will understand and monitor closely the strategies of PM’s trading in equity derivatives and embed insights in quantitative frameworks.

Your primary responsibilities will encompass :

Development of Risk Measurement Techniques : Develop and maintain robust frameworks for risk measurements. You will create frameworks to deliver insights on PM strategies and risks through interacting with existing tools or building own framework

Quantitative Framework Development : Assist in the creation and optimization of our quantitative framework, which includes collaborating with technology, risk, portfolio, and business managers.

Tech Collaboration : Partner with the Technology department to streamline the transition of quantitative models into production environments. The priority is to ensure accuracy and efficiency in day-to-day workflows.

Research Model Development : Lead research into and implementation of various quantitative models.

Qualifications / Skills Required :

The candidate should have a degree in a quantitative major : statistics, mathematics, engineering, and either professional experience of 1-4 years in a quantitative role in a financial organization, or an advanced degree in a quantitative field preferred.

A good understanding of derivatives and valuation is a plus, and basic familiarity is generally expected. Prior experience with managing and deploying valuation models is a great add.

Strong programming skills, prior experience with Python (Polars and / or Pandas) or SQL. Proficiency in at least a compiled and statically typed language is a plus; so is demonstrated programming ability on public repositories e.g., GitHub.

Sense of responsibility and integrity. Intellectual curiosity and spirit of initiative. Ability to work independently and effectively manage ambiguity.