Quantitative Intern - Portfolio Engineering and Analytics

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.

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 

The Invesco Solutions and Custom Strategies team comprises the firm’s systematic investing and multi-asset solutions businesses, offering distinct investment capabilities across systematic equities, multi-asset, and alternative solutions. With over 160 members and decades of industry experience, the team possesses depth and breadth of capabilities to address unique client challenges across a wide range of investment outcomes. With presence in 20 regional markets, the team brings local market knowledge combined with a strong global perspective. Collectively, the team is responsible for over USD 250 billion in total assets, including USD 56.6 billion in multi-asset solutions assets managed by a team of 25+ investment professionals with an average of 12 years of experience (as of June 30, 2026).

The Portfolio Construction and Engineering team is an amalgamation of Quantitative finance, Technology, and cutting-edge financial research. The team comprise of individuals from diverse regions of the world with education from the top-notch engineering and science programs from around the world. Our responsibilities span from building multi-asset portfolio construction models to creating systematic fixed income portfolios and managing risk models for both public and private assets. The team has also pioneered “Vision”, a cloud-based investment management platform that provides a 360-degree investment overview to both institutional and retail clients and help them make complex investment decisions.

As a summer intern based in our Boston office, you'll have the unique opportunity to work closely with senior members of Portfolio Construction and Engineering team, delve into cutting-edge financial technology, and engage in rigorous quantitative analysis assignments. This summer, we're seeking exceptional candidates who can help us expand our knowledge and capabilities in areas such as strategic (long-term, risk-aware) and dynamic (macro-regime driven) asset allocation research, portfolio construction and optimization, and risk modelling for public and private assets.  

• 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.

• 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.

• 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.

The hourly range for this position in Boston, MA is $65.00/hr.

Pursuant to Invesco’s Workplace Policy, employees are expected to comply with the firm’s most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other’s growth and development.

The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time.

Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.