Equity Quant Researcher: Signals & Infrastructure

Equity Quant Researcher: Signals & Infrastructure

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
SEI Investments

At a Glance

  • Tasks: Develop stock selection signals and maintain proprietary models for portfolio management.
  • Company: SEI Investments, a leading firm in the finance sector with a focus on innovation.
  • Benefits: Hybrid working environment, comprehensive benefits, and opportunities for professional growth.
  • Other info: Exciting opportunity to work in a collaborative and innovative atmosphere.
  • Why this job: Join a dynamic team to make impactful contributions in quantitative equity research.
  • Qualifications: Strong quantitative skills, Python expertise, and excellent communication abilities.

The predicted salary is between 60000 - 80000 Β£ per year.

SEI Investments in London seeks a Quantitative Equity Researcher to develop stock selection signals, maintain proprietary models, and assist in portfolio management.

You will research and back-test factors, contribute to infrastructure, and help prepare client materials.

The role emphasizes strong quantitative skills, Python expertise, and clear communication, with a hybrid working environment and comprehensive benefits.

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Equity Quant Researcher: Signals & Infrastructure employer: SEI Investments

SEI Investments is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. With a strong emphasis on employee growth, you will have access to comprehensive benefits and a hybrid working environment that promotes work-life balance, making it an ideal place for those seeking meaningful and rewarding employment in quantitative finance.

SEI Investments

Contact Details:

SEI Investments Recruitment Team

We think you need these skills to ace Equity Quant Researcher: Signals & Infrastructure

Quantitative Skills
Stock Selection Signals Development
Proprietary Model Maintenance
Portfolio Management Assistance
Research and Back-Testing Factors
Infrastructure Contribution
Client Material Preparation