Invesco US
Quantitative Analyst, Portfolio Engineering & Analytics
Invesco US, Boston, Massachusetts, us, 02298
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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?
Flexible paid time off
Hybrid work schedule
401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution
Health & wellbeing benefits
Parental Leave benefits
Employee stock purchase plan
Job Description
About the Team / Department Responsible for developing and systematizing multi‑asset investment frameworks for our solutions‑oriented clients, as part of the Invesco Solutions group which manages $175 billion* in assets across several systematic and quantitative strategies. The team supports strategic asset allocation, portfolio construction and advisory, leveraging latest cloud, optimization, and visualization technologies.
About the Role As part of the portfolio engineering & analytics team, you will work alongside some of the best quantitative researchers and technologists to help evolve our investment capabilities. You will be responsible for performing research, managing data, and developing APIs that will be used to power the investment process along with our flagship portfolio construction and analytics platform – Invesco Vision®. The role will allow for significant opportunities for creativity and innovation.
Responsibilities of the Role
Help construct multi‑asset and single asset portfolios using advanced asset allocation and portfolio construction techniques
Build high-performance computing algorithms, infrastructure and APIs
Research and build prediction and forecasting methods based on both classical statistical techniques and ML‑based techniques including Generative AI
Translate investment frameworks from various market segments (e.g., cash‑flow driven investing, liability‑driven investing, insurance capital efficient portfolio construction) into tangible investment and client engagement tools
Leverage advanced optimization techniques to create optimal portfolio solutions for internal and external stakeholders
Use multi‑period simulation tools to project and optimize performance in the context of flows and optionality
Integrate third‑party risk models in various portfolio construction exercises
Design and maintain procedures and tools that make data management and research more efficient
Work closely with other quantitative and technology teams in the firm, leveraging best practices from a financial theory and technological perspective
Formulate new research ideas that will help enhance frameworks and tools
Follow academic research and industry trends to constantly incorporate best practice
Requirements of the Role
Advanced degree in quantitative disciplines such as engineering, finance, operations research, or computer science is required
Solid understanding of standard financial engineering techniques
Excellent knowledge of statistics and optimization
Excellent programming skills (preferably in Python)
Some understanding of NLP techniques, including tokenization, embeddings, transformers, and dialogue systems
Proficient in scikit‑learn, TensorFlow, PyTorch and understanding of deploying LLMs for conversational AI applications
Experience managing and manipulating large data sets (preferably in SQL)
Strong ability to learn and translate abstract principles into systematic algorithmic representations
Some experience using third‑party risk models such as BarraOne or Axioma is a plus
Progress towards CFA designation preferred
The salary range for this position in Boston is $120,000 - $135,000 / year. The total compensation offered for this position includes salary and incentive pay and will vary based on skills, experience and location.
Full time
Employee
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.
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.
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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?
Flexible paid time off
Hybrid work schedule
401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution
Health & wellbeing benefits
Parental Leave benefits
Employee stock purchase plan
Job Description
About the Team / Department Responsible for developing and systematizing multi‑asset investment frameworks for our solutions‑oriented clients, as part of the Invesco Solutions group which manages $175 billion* in assets across several systematic and quantitative strategies. The team supports strategic asset allocation, portfolio construction and advisory, leveraging latest cloud, optimization, and visualization technologies.
About the Role As part of the portfolio engineering & analytics team, you will work alongside some of the best quantitative researchers and technologists to help evolve our investment capabilities. You will be responsible for performing research, managing data, and developing APIs that will be used to power the investment process along with our flagship portfolio construction and analytics platform – Invesco Vision®. The role will allow for significant opportunities for creativity and innovation.
Responsibilities of the Role
Help construct multi‑asset and single asset portfolios using advanced asset allocation and portfolio construction techniques
Build high-performance computing algorithms, infrastructure and APIs
Research and build prediction and forecasting methods based on both classical statistical techniques and ML‑based techniques including Generative AI
Translate investment frameworks from various market segments (e.g., cash‑flow driven investing, liability‑driven investing, insurance capital efficient portfolio construction) into tangible investment and client engagement tools
Leverage advanced optimization techniques to create optimal portfolio solutions for internal and external stakeholders
Use multi‑period simulation tools to project and optimize performance in the context of flows and optionality
Integrate third‑party risk models in various portfolio construction exercises
Design and maintain procedures and tools that make data management and research more efficient
Work closely with other quantitative and technology teams in the firm, leveraging best practices from a financial theory and technological perspective
Formulate new research ideas that will help enhance frameworks and tools
Follow academic research and industry trends to constantly incorporate best practice
Requirements of the Role
Advanced degree in quantitative disciplines such as engineering, finance, operations research, or computer science is required
Solid understanding of standard financial engineering techniques
Excellent knowledge of statistics and optimization
Excellent programming skills (preferably in Python)
Some understanding of NLP techniques, including tokenization, embeddings, transformers, and dialogue systems
Proficient in scikit‑learn, TensorFlow, PyTorch and understanding of deploying LLMs for conversational AI applications
Experience managing and manipulating large data sets (preferably in SQL)
Strong ability to learn and translate abstract principles into systematic algorithmic representations
Some experience using third‑party risk models such as BarraOne or Axioma is a plus
Progress towards CFA designation preferred
The salary range for this position in Boston is $120,000 - $135,000 / year. The total compensation offered for this position includes salary and incentive pay and will vary based on skills, experience and location.
Full time
Employee
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.
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.
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