Quantitative Analyst, Portfolio Engineering & Analytics

invesco· 1201 Invesco Advisors Inc.
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About this role

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

Your 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.

You will be responsible for:

· 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 practices

The experience you bring:

· 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 experience in developing and deploying machine learning models, with a focus on neural network architectures like LSTM, CNNs and transformers in financial contexts will be positive

· 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

· Some experience using third party risk models such as BarraOne or Axioma will be a plus

· Progress towards CFA designation preferred

Skills / Other Personal Attributes Required:

· 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

130k-135k

Full Time / Part Time

Full time

Worker Type

Employee

Job Exempt (Yes / No)

Yes

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. 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.

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.

Frequently Asked Questions

Is the salary disclosed for the Quantitative Analyst, Portfolio Engineering & Analytics position at invesco?
The salary for this Quantitative Analyst, Portfolio Engineering & Analytics role at invesco is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Quantitative Analyst, Portfolio Engineering & Analytics position at invesco located?
This Quantitative Analyst, Portfolio Engineering & Analytics role at invesco is based in Boston, Massachusetts, New York, New York. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Quantitative Analyst, Portfolio Engineering & Analytics role at invesco full-time or part-time?
This is listed as a Full time position. It is posted as a Quantitative Analyst, Portfolio Engineering & Analytics role in the 1201 Invesco Advisors Inc. department at invesco.
Which team or department does the Quantitative Analyst, Portfolio Engineering & Analytics at invesco belong to?
This Quantitative Analyst, Portfolio Engineering & Analytics position is part of the 1201 Invesco Advisors Inc. department at invesco. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Quantitative Analyst, Portfolio Engineering & Analytics position at invesco?
Click the "Apply Now" button on this page. You will be redirected to invesco's official application portal hosted on workday where you can submit your application directly.
When was the Quantitative Analyst, Portfolio Engineering & Analytics job at invesco posted?
This Quantitative Analyst, Portfolio Engineering & Analytics position at invesco was posted on Oct 7, 2026. Apply as soon as possible — early applications are often reviewed first.
Quantitative Analyst, Portfolio Engineering & Analytics
invesco
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