As one of the world’s leading asset managers, Invesco is dedicated to helping investors worldwide achieve their financial objectives. 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, smart colleagues, and a global employer with a social conscience, come explore your potential at Invesco. Make a difference every day!

What We Do:

Responsible for developing and systematizing multi-asset investment frameworks for our solutions orientated clients, as part of the Multi-Asset Strategies group which manages $167 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 June 30, 2024)

Your Role:

As an intern with 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 help us expand our knowledge and capabilities in areas such as Asset allocation, Portfolio construction and optimization, application of ML based techniques including Generative and will help integrate this research and knowledge in our flagship portfolio construction and analytics platform – Invesco Vision®.

Experience you bring:

• Must be pursuing a Bachelor’s or Master's degree graduating between December 2025 and Summer 2026 with a minimum GPA of 3.2 on a 4.0 scale

• 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)

• Experience in developing and deploying machine learning models, with a focus on neural network architectures like LSTM, CNNs and transformers in financial contexts

• Proficient in programming scikit-learn, TensorFlow and PyTorch for neural network modeling

• Experience managing and manipulating large data sets (preferably in SQL)

• Strong ability to learn and translate abstract principles into systematic algorithmic representations

• Ability to prioritize work and allocate time efficiently to maximize impact to investment process

• Very strong attention to detail with internal drive to sanity check and triangulate results

• Strong interpersonal and partnership skills

• Passion to deliver excellent work

Please note the following:

• Invesco does not offer employer visa/status sponsorship for this position.

• To be eligible for this program, you must be authorized to work in the U.S.

• Invesco does not provide relocation assistance or assistance with temporary housing while interning.

At Invesco, our workplace model supports our culture and meets the needs of our clients while providing flexibility our employees value. As a full-time employee, compliance with the workplace policy means working with your direct manager to create a schedule where you will work in your designated office at least three days a week, with two days working outside an Invesco office. 

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.