Quantitative Analyst, Portfolio Engineering and Analytics job at Invesco in New York, NY, Boston, MA

Title: Quantitative Analyst, Portfolio Engineering & Analytics

Location: New York United States

Job Description:

Full time

job requisition id

R-12532

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:

Responsible for developing and systematizing multi-asset investment frameworks for our solutions orientated clients, as part of the Invesco Solutions group which manages $210 billion* in assets across several systematic and quantitative strategies. The role involves close collaboration with defined benefit and insurance entities, as well as defined contribution plans and wealth entities. Support 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 September 30, 2025)

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:

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 Agentic workflows leveraging 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

Strong Python programming expertise, including experience with FastAPI for building RESTful services, Numba for high-performance computing, and deploying solutions on cloud environments (AWS, Azure, or GCP)

Strong background in technical infrastructure development, Git, and cloud technologies is advantageous

Researching, implementing, and integrating Large Language Models (LLMs) and conversational AI technologies to develop intelligent client engagement tools and chatbots will be beneficial

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 and New York City 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