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 comprehensive compensation and benefit offerings including: 

• 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 orientated 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. Responsible for Invesco’s flagship cloud-based and client facing, portfolio construction and analytics platform – Invesco Vision®.

(*As of March 31, 2025)

About the Role:

As part of the solutions research and 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 ri