Senior Quantitative Analyst

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!

Job Description

As one of the world’s leading asset managers, we are solely dedicated to delivering an investment experience that helps people get more out of life. If you're looking for challenging work, smart colleagues, and a global employer with a social conscience, explore your potential at Invesco.

The Department

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. (*As of June 30, 2024)

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®.

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:

• Constructing multi-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
• Translating 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
• 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 the rest of solutions research and technology groups 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 so as to constantly incorporate best practices
• Mentoring and helping guide more junior quantitative analysts

The experience you bring:

• 4+ years of experience working as a quantitative analyst or quantitative developer in the asset management space
• 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
• Experience using third party risk models such as BarraOne or Axioma
• 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

Full Time / Part Time

Full time

Worker Type

Employee

Job Exempt (Yes / No)

YesWorkplace Model

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.