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Millennium Management

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2.7

based on 35 Reviews

4 Millennium Management Researcher Jobs

Equity Portfolio Researcher

Millennium Management LLC

2.7

based on 35 Reviews

1-4 years

Mumbai

1 vacancy

Equity Portfolio Researcher

Millennium Management

posted 2mon ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analytics Python SQL Clinical SAS Programming Risk Management Equity Research

+ 4 more

Job Description

This position offers the unique opportunity to build, develop, and maintain the quantitative tools and frameworks utilized by our portfolio managers and senior management to drive strategic decisions. This role is particularly suited to individuals with a passion for quantitative finance, portfolio management, and applied statistics, especially those who prosper in portfolio analysis, factor modeling, and risk measurement.

Your primary responsibilities will encompass:

Factor Model and Risk Measurement: Develop and maintain robust frameworks for factor modeling and risk measurements. Strong emphasis on using these models for portfolio optimization and risk and attribution analysis.
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, including but not confined to factor models and complex risk assessments.

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.
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.
Prior experience in Equity Factor Risk modeling, quantitative models and portfolio analytics.
Experience using fundamental equity factor models like MSCI/Barra, Axioma or Bloomberg is highly desirable.
Sense of responsibility and integrity. Intellectual curiosity and spirit of initiative. Ability to work independently and effectively manage ambiguity.