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Invesco

Global asset management and investment solutions

Quantitative Intern - Portfolio Engineering and Analytics

Quantitative ResearchConfirmed live in the last 24 hours
Internship · Summer 2026Boston, MA, USA$65 /hr

About the Job

Requirements

  • Be enrolled in a master's or PhD program in a quantitative discipline—engineering, financial engineering, financial mathematics, operations research, statistics, applied mathematics, computer science, or a related field—and return to study after the internship.
  • Have strong programming skills in Python, including NumPy, pandas, and SciPy; exposure to scikit-learn, PyTorch, or TensorFlow is a plus.
  • Have a solid foundation in statistics, probability, and optimization, and be able to translate abstract principles into systematic, algorithmic representations.
  • Have experience managing and manipulating large datasets, preferably using SQL, including unstructured data and transforming it into an analysis-ready format.
  • Demonstrate interest in finance, economics, and capital markets, and working familiarity with mean-variance optimization, factor models, and standard risk and performance metrics.
  • Have very strong attention to detail and an internal drive to sanity-check and triangulate results.
  • Be able to work in Invesco’s Boston office.
  • Be familiar with Git, collaborative development workflows such as code review and CI/CD, and cloud environments such as AWS or Azure.
  • Have exposure to building or consuming RESTful services such as FastAPI, and to front-end or visualization work in JavaScript.
  • Have coursework or project experience with large language models and agentic AI tooling, including LangChain, retrieval-augmented generation, and vector databases.
  • Have exposure to third-party risk models such as BarraOne or Axioma.
  • Be making progress toward the CFA designation.
  • Be able to prioritize work and allocate time efficiently.
  • Have interpersonal and partnership skills, and be able to communicate technical results clearly in writing and verbally to non-technical audiences.
  • Be a self-starter who can thrive in a fast-paced environment.

Responsibilities

  • Work closely with senior members of the Portfolio Construction and Engineering team.
  • Engage in rigorous quantitative analysis assignments.
  • Help expand the team’s knowledge and capabilities in strategic, long-term, risk-aware asset allocation research; dynamic, macro-regime-driven asset allocation research; portfolio construction and optimization; and risk modelling for public and private assets.

About the Company

Invesco

Global asset management and investment solutions

Invesco provides investment management services to retail and institutional clients worldwide. It manages a broad mix of assets, including mutual funds, exchange-traded funds (ETFs), and private equity, and earns revenue mainly from management fees on assets under management. The company serves clients in more than 150 countries, offering diverse investment opportunities across public and private markets. Its product line relies on market performance, meaning returns and assets under management rise and fall with financial conditions. Invesco differentiates itself through its global footprint and range of investment vehicles, aiming to grow assets under management by attracting clients and offering access to a wide set of investment options. The company’s goal is to deliver value for clients by managing assets responsibly and efficiently while expanding its global presence and assets under management over time.

Company size
501-1,000
Company stage
IPO
Headquarters
Henley-on-Thames, United Kingdom
Founded
1935

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