Equity AI Quant Strategist — Front-Office (London)

eFinancialCareers

Greater London

On-site

GBP 120,000 - 180,000

Full time

7 days ago
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Job summary

eFinancialCareers seeks an AVP/VP Quantitative Strategist in London to shape equity investing through AI, ML and data science, sitting alongside Portfolio Managers and Equity Analysts. The role involves using AI-driven research, alternative data and quantitative techniques to generate differentiated investment insights across global equity markets.

You will apply AI and advanced analytics to enhance research, test investment hypotheses, and develop tools for portfolio construction, risk

Qualifications

  • Experience spanning quantitative equity research and fundamental equity investing.
  • Hands-on experience applying AI and machine learning techniques within an investment environment.
  • Strong understanding of company analysis, earnings drivers, valuation and sector dynamics.
  • Advanced Python, SQL and data analytics skills.
  • Experience with alternative datasets and large-scale investment data.

Responsibilities

  • Apply AI, ML and analytics to enhance equity research and idea generation.
  • Leverage alternative datasets to identify signals and investment opportunities.
  • Partner with Portfolio Managers and Analysts to test investment hypotheses and generate actionable insights.
  • Develop innovative research tools, visualization platforms and predictive analytics capabilities.
  • Improve portfolio construction, risk management and performance monitoring through quantitative techniques.
  • Help shape how AI and data science are integrated into a fundamental equity investment process.

Skills

Advanced Python
SQL
Data analytics
Quant equity research
AI / ML techniques

Job description

eFinancialCareers seeks an AVP/VP Quantitative Strategist in London to shape equity investing through AI, ML and data science, sitting alongside Portfolio Managers and Equity Analysts. The role involves using AI-driven research, alternative data and quantitative techniques to generate differentiated investment insights across global equity markets.

You will apply AI and advanced analytics to enhance research, test investment hypotheses, and develop tools for portfolio construction, risk

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