Quantitative Analyst, Portfolio Engineering & Analytics

Invesco Solutions Group Job Opportunity

Responsible for developing and systematizing multi-asset investment frameworks for our solutions-oriented clients, as part of the Invesco Solutions group which manages assets across several systematic and quantitative strategies. The team supports strategic asset allocation, portfolio construction and advisory, leveraging the latest cloud, optimization, and visualization technologies. Responsible for Invesco's flagship cloud-based and client-facing, portfolio construction and analytics platform – Invesco Vision®.

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:

• Helping construct multi-asset and single asset portfolios using advanced asset allocation and portfolio construction techniques
• Building high performance computing algorithms, infrastructure and APIs
• Researching and building prediction and forecasting methods based on both classical statistical techniques as well as ML based techniques including Generative AI
• Helping translate investment frameworks from various segments of the market (i.e. cash flow driven investing, liability driven investing, insurance capital efficient portfolio construction) into tangible investment and client engagement tools
• Leveraging advanced optimization techniques to create optimal portfolio solutions for internal and external stakeholders
• Employing multi-period simulation tools to project and optimize performance in the context of flows and optionality
• Integrating third party risk models in various portfolio construction exercises
• Designing and maintaining procedures and tools that make data management and research more efficient
• Working closely with other quantitative and technology teams in the firm in leveraging best practices from a financial theory and technological perspective.
• Formulating new ideas for research that will help enhance frameworks and tools
• Following 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 programming scikit-learn, TensorFlow and 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 will be 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

Yes

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.

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.