Senior Quantitative Equity Research Analyst

Senior Quantitative Equity Research Analyst

Full-Time 63000 - 77000 Β£ / year (est.) On-site
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At a Glance

  • Tasks: Develop multi-factor models and analyse large datasets for investment insights.
  • Company: Fidelity Investments, a leading financial services firm in London.
  • Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and career advancement.
  • Why this job: Join a dynamic team and make a real impact on investment strategies.
  • Qualifications: Experience in quantitative analysis and strong communication skills.

The predicted salary is between 63000 - 77000 Β£ per year.

Fidelity Investments in London is seeking a Quantitative Equity Research Analyst to join the Equity Quantitative team within the QRI division. The analyst will partner with fundamental portfolio managers to deliver quantitative analytics for alpha generation, risk management, and portfolio construction.

You will develop multi-factor models, evaluate large structured datasets, and apply ML techniques to extract insights and inform investment decisions, while communicating findings to portfolio.

Senior Quantitative Equity Research Analyst employer: Soteria Reinsurance Ltd.

Soteria Reinsurance Ltd. is an excellent employer that fosters a diverse and inclusive work culture, where unique perspectives are valued and encouraged. As a Quant Data Ops Associate, you will have access to robust employee growth opportunities and the chance to enhance your skills in a dynamic environment focused on making financial expertise accessible. Located in a vibrant area, our company offers a supportive atmosphere that prioritises both professional development and personal well-being.

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Contact Details:

Soteria Reinsurance Ltd. Recruitment Team

We think you need these skills to ace Senior Quantitative Equity Research Analyst

Quantitative Analytics
Alpha Generation
Risk Management
Portfolio Construction
Multi-Factor Models
Data Evaluation
Machine Learning Techniques