Quantitative Intern - Portfolio Engineering and Analytics
About Invesco
As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco.
What's in it for you?
Our people are at the very core of our success. Invesco employees get more out of life through our benefit and perk offerings including:
- Company networking events with other interns
- Peer Sponsor Program
- Leadership Connection series
- Virtual Lunch and Learns
- Invesco Cares volunteer events
- Complimentary coffee and snacks
- 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution
Job Description
Solutions and Custom Strategies
About Portfolio Construction and Engineering Team
Internship Overview
Minimum Qualifications
- Enrolled in a master's or PhD program in a quantitative discipline - engineering, financial engineering or financial maths, operations research, statistics, applied mathematics, computer science, or a related field - returning to study after the internship.
- Strong programming skills in Python, including the scientific stack (NumPy, pandas, SciPy); exposure to scikit-learn, PyTorch, or TensorFlow is a plus.
- Solid foundation in statistics, probability, and optimization, with the ability to translate abstract principles into systematic, algorithmic representations.
- Experience managing and manipulating large datasets, preferably using SQL, including the ability to work with unstructured data and transform it into a usable, analysis-ready format.
- Demonstrated interest in finance, economics, and capital markets, and a working familiarity with core portfolio concepts such as mean-variance optimization, factor models, and standard risk and performance metrics.
- Very strong attention to detail, with an internal drive to sanity check and triangulate results.
- Relocation and housing will not be included if an offer is extended.
- Must be able to work in Invesco's Boston office.
Preferred Qualifications
- Familiarity with Git and collaborative development workflows (code review, CI/CD) and with cloud environments such as AWS or Azure.
- Exposure to building or consuming RESTful services (e.g. FastAPI) and to front-end or visualization work in JavaScript.
- Coursework or project experience with Large Language Models and agentic AI tooling (LangChain, RAG, vector databases).
- Exposure to third-party risk models such as BarraOne or Axioma.
- Progress toward the CFA designation.
Personal attributes
- Ability to prioritize work and allocate time efficiently to maximize impact.
- Strong interpersonal and partnership skills, with clear written and verbal communication of technical results to non-technical audiences.
- Self-starter with a desire to excel and the ability to thrive in a fast-paced environment.
About the role
Full Time / Part Time
Worker Type
Job Exempt (Yes / No)
Workplace Model
Not included in the source posting: benefits.
Skills
Who can apply
The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.
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