Invesco is looking to evolve its investment capabilities by developing and systematizing multi-asset investment frameworks for solutions-oriented clients, leveraging advanced technologies for portfolio construction and analytics.
Requirements
- 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)
- Some experience using third party risk models such as BarraOne or Axioma will be a plus
Responsibilities
- 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
Other
- Advanced degree in quantitative disciplines such as engineering, finance, operations research, or computer science is required
- Strong ability to learn and translate abstract principles into systematic algorithmic representations
- Progress towards CFA designation preferred
- 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.
- 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.
