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Quant Developer Summer Intern (NYC/Miami)

Millennium Management
Quant Developer Summer Intern (NYC/Miami)
New York, US
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Job Description

Quant Developer Summer Intern (NYC/Miami)

Two of our Technology divisions are seeking Quant Developer Interns :

  • ** Equities Technology** – Develops and supports the platform that enables our businesses to electronically trade most asset classes globally and to manage risk and P&L. Our teams support various function such as Algorithmic Execution Services, Latency Critical Trading Technology, PM Research Tools, Systematic Data Platform, Equity Volatility and Convertibles Technology, Production Support and Systems Operations Engineering, Trade Capture, and Risk Management.
  • ** Fixed Income & Risk Technology** – Builds and maintains the technology platform for Fixed Income and Commodities trading teams, and for the Risk Management team covering all trading teams, asset classes, and products.

Interns own and deliver a time-bound project with direct business and technology benefits—projects could include:

  • Develop new features and enhancements to critical business applications
  • Develop applications to analyze profitability and risks of trading strategies
  • Develop innovative research and trading tools for trading teams to explore new ideas
  • Develop research tools ranging from data acquisition/normalization libraries to backtesters and portfolio optimizers
  • Build out our market leading electronic trading platform
  • Build out the Trade Messaging platform and associated data in AWS, to increase data mining capabilities
  • Create and modify technology workflows for trade processing and risk management

Technical Qualifications

  • Coding experience in Python
  • Understanding of Data Structures and Algorithms
  • Savvy with data science stack (Pandas, NumPy, SciPy)
  • ML stack (SKLearn, XGBoost; Deep Learning Frameworks are a plus), compute at scale (Dask, Ray, PySpark)
  • Unix/Linux command-line experience


  • Strong Linear Algebra, Modern Portfolio Theory knowledge, Convex Optimization
  • Data Science/Analysis background; Proficient at working with large datasets
  • Broad understanding of equities, derivatives, futures, and FX
  • Working towards graduate level training in a quantitative field (CFA, FRM and/or CQF)
  • Results-oriented, can deliver quality code quickly while handling several projects with different priorities
  • Cumulative GPA of 3.5 and above

Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. The estimated base salary range for this position is $150,000, which is specific to New York and may change in the future. When finalizing an offer, we take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.


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