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Quantitative Intern - Portfolio Engineering and Analytics
Invesco
USA
Full-time
Intern · 12+ years experience
Onsite
Discovered 1 weeks ago
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Key Skills for This Role
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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. The hourly range for this position in Boston, MA is $65.00/hr. Full Time / Part Time Full time Worker Type Student/Intern (Fixed Term) Job Exempt (Yes / No) No Workplace Model 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. 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.
- 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.
About Invesco
Financial Services5,001-10,000Founded 1935
Invesco is a global independent investment management firm serving retail and institutional investors with strategies across asset classes.
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