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Quantitative Intern, New York

As a Quantitative intern, you will play a crucial role in supporting Millennium’s investment strategies through data analysis, model development, and close collaboration with our Quantitative professionals. Your analytical skills, programming expertise, and financial knowledge will be utilized to address real-world challenges.

We're seeking interns pursuing degrees in a quantitative disciplines such as Financial Engineering, Quantitative and Computational Finance, Statistics, Physics, or Applied Mathematics. Interns will be hired across various functions within the Firm, including Equities, Fixed Income, Commodities, Execution Trading, Risk Management, Technology, and Portfolio Valuations. Through the application process, interns are evaluated for specific roles within the domains of Quantitative Researcher, Quantitative Developer, or Quantitative Modeler.

Quantitative Researcher:

Data Analysis: Explore and analyze a vast array of datasets, including both market data from asset trading and alternative data from other aspects of the economy using machine learning/statistical/applied math/econometric techniques.
Strategy Backtesting: Perform back testing of strategies to evaluate their performance and robustness.
Tool Development: Build broad set of research tools ranging from data acquisition/normalization libraries to backtesters and portfolio optimizers.

Quantitative Developer:

System Development: Design, develop and maintain robust and scalable quantitative tools and systems.
Application Development: Create applications to analyze profitability and risks of trading strategies.
Research Tools: Develop a broad set of research tools for systematic portfolio managers ranging from data acquisition/normalization libraries to backtesters and portfolio optimizers.
Workflow Management: Create and modify technology workflows for trade processing and risk management.

Quantitative Modeler:

Model Development: Develop and calibrate mathematical models for asset pricing, risk management or market behavior.
Model Validation: Perform backtesting and validation of models to ensure accuracy and reliability.
Predictive Analysis: Analyze financial data and develop predictive models to support decision making within the team.
Collaboration: Interact with developers and quant professionals for model development, implementation, validation and approval.

Qualifications:

Academic Excellence: Cumulative GPA of 3.5 and above required (U.S. specific).
Degree: Pursuing a Bachelor’s or Master’s degree in a technical or quantitative discipline, such as Financial Engineering, Quantitative and Computational Finance, Statistics, Applied Mathematics, Physics, Computer Engineering, Computer Science, Operations Research, Data Science, Engineering etc.
Programming Proficiency: Demonstrated proficiency in at least Python or C++.
Technical Knowledge: Understanding of Data Structures and Algorithms.
Research Experience: Experience performing an in-depth research project examining real-world data.
Methodological Expertise: Solid understanding of statistical and machine learning techniques.

The estimated base salary range for this position is $175,000 - $180,000, which is specific to New York and may change in the future.

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