Quantitative Analyst, Portfolio Engineering & Analytics

Invesco

Boston, Massachusetts, United States
Base: $120,000 - $135,000 / year; bonus/equity: in...
Hybrid
Advanced degree in quantitative disciplines
Strong python programming expertise
Fastapi for building restful services
The role involves developing and systematizing multi-asset investment frameworks for solutions-oriented clients within the Invesco Solutions group

Job Summary

  • The role involves developing and systematizing multi-asset investment frameworks for solutions-oriented clients within the Invesco Solutions group.
  • Employees benefit from a hybrid work schedule requiring four days in the office per week along with comprehensive compensation packages.
  • Candidates will leverage advanced optimization techniques and machine learning to power the flagship Invesco Vision® portfolio construction platform.

Matching Summary

The role involves developing and systematizing multi-asset investment frameworks for solutions-oriented clients within the Invesco Solutions group.

Salary

Base: $120,000 - $135,000 / year; Bonus/Equity: Incentive pay included; Benefits: Flexible paid time off, 401(K) matching, health & wellbeing benefits

Skills & Requirements

Must-have

  • Advanced degree in quantitative disciplines
  • Strong Python programming expertise
  • FastAPI for building RESTful services
  • Numba for high-performance computing
  • Cloud deployment on AWS Azure or GCP
  • Statistics and optimization knowledge
  • Financial engineering techniques

Nice-to-have

  • Experience with Large Language Models
  • Conversational AI technologies development
  • Third party risk models BarraOne Axioma
  • Progress towards CFA designation
  • Agentic workflows leveraging Generative AI
  • SQL experience managing large datasets
  • Git and technical infrastructure background

Key Requirements

  • Advanced degree in engineering finance operations research or computer science
  • CFA designation progress preferred

Work Rights

Not specified

Tailored Resume

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