Portfolio Analytics Engineer: Automation & AI Tools

Portfolio Analytics Engineer: Automation & AI Tools

Full-Time 60000 - 72000 Β£ / year (est.) No working from home possible
Jpmorgan Chase & Co.

At a Glance

  • Tasks: Build scalable analytics and tools for portfolio construction and automated reporting.
  • Company: Join JPMorgan Chase & Co., a leader in finance and investment.
  • Benefits: Competitive salary, career development, and a dynamic work environment.
  • Other info: Collaborative team culture focused on innovation and efficiency.
  • Why this job: Make an impact in finance with cutting-edge automation and AI tools.
  • Qualifications: 2-4 years in asset management, strong Python skills, and attention to detail.

The predicted salary is between 60000 - 72000 Β£ per year.

JPMorgan Chase & Co. in the United Kingdom is seeking a technically strong Associate for the EMD investment team. The role focuses on building scalable analytics and tools for portfolio construction and automated reporting, improving decision-making and execution efficiency.

The ideal candidate has 2–4 years of experience in asset management or quantitative finance, strong programming skills in Python, and a solid understanding of fixed-income markets. The team values communication skills and operational attention to detail.

Portfolio Analytics Engineer: Automation & AI Tools employer: Jpmorgan Chase & Co.

JPMorgan Chase & Co. is an exceptional employer that fosters a dynamic work culture where innovation and collaboration thrive. Located in the United Kingdom, employees benefit from extensive professional development opportunities, competitive compensation, and a commitment to diversity and inclusion. The EMD investment team offers a unique chance to work on cutting-edge analytics and AI tools, making a meaningful impact in the world of finance.

Jpmorgan Chase & Co.

Contact Details:

Jpmorgan Chase & Co. Recruitment Team

We think you need these skills to ace Portfolio Analytics Engineer: Automation & AI Tools

Python
SQL
Communication Skills
Problem-Solving Skills
Data Engineering
Attention to Detail
Data Pipeline Development