Quantitative Engineer

Invesco UK

Atlanta, US
On-site (4 days in office starting october 2025)
R, python, sql coding skills
Financial instruments understanding
Machine learning concepts
Invesco UK is seeking a Quantitative Engineer to join their Investment Risk team in Atlanta, US. The role focuses on developing automated solutions to enhance risk management processes within the organization, requiring a strong quantitative background and technical skills

Job Summary

  • The Investment Risk team provides objective oversight to senior executives and portfolio management teams, identifying, measuring, and managing investment-related risks.
  • This role will help redefine automated solutions to strengthen the impact of the Investment Risk team, ensuring seamless risk monitoring.
  • Invesco offers comprehensive compensation and benefit offerings including flexible paid time off, a hybrid work schedule, and 401(K) matching.

Matching Summary

Match Score: 85

Invesco UK is seeking a Quantitative Engineer to join their Investment Risk team in Atlanta, US. The role focuses on developing automated solutions to enhance risk management processes within the organization, requiring a strong quantitative background and technical skills.

Skills & Requirements

Must-have

  • R, Python, SQL coding skills
  • Financial instruments understanding
  • Machine learning concepts
  • Cloud environments (AWS)
  • AI and scripting applications

Nice-to-have

  • Team player
  • Intellectually curious
  • Attention to detail
  • Collaborative environment

Key Requirements

  • Degree in quantitative subject
  • CFA, FRM/PRM and/or MBA (Finance) desirable
  • Experience with AI and scripting applications
  • Experience in cloud-based environments (AWS) is a plus
  • Experience in applying machine learning techniques is a plus
  • Experience with vendor software common in asset management is helpful
  • Intermediate coding skills in R, Python, SQL or other languages
  • Good understanding of financial instruments
  • Familiarity with international financial markets
  • Fundamental understanding of core machine learning concepts is preferred
  • Strong interpersonal skills
  • Superior problem-solving capability
  • Highly motivated self-starter
  • Comfort working at the intersection of business, data, and technology
  • Ability to communicate process and automation concepts clearly
  • Good time management
  • Comfortable working within a project management team

Work Rights

Not specified

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