Lead AI Quant Researcher - Build Production Trading Signals in London

Lead AI Quant Researcher - Build Production Trading Signals in London

London Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead AI research to develop cutting-edge quantitative investment strategies.
  • Company: Quantum Light, a pioneering firm in AI-driven trading.
  • Benefits: Significant ownership, competitive salary, and the chance to shape AI culture.
  • Other info: Join a dynamic team in London with exciting growth opportunities.
  • Why this job: Make a real impact in the world of finance with innovative AI solutions.
  • Qualifications: Strong background in AI research and quantitative trading.

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

Quantum Light is seeking a world-class AI Researcher with a quantitative trading background to join a newly forming team in London.

You will lead AI research to develop a quantitative investment strategy for VC, shaping the firm's AI roadmap and research culture.

You will train production-grade neural networks, assess pipelines, and translate trading signals into tangible research outcomes.

This foundational hire offers significant ownership and the chance to influence a growing hedge-focused AI

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Lead AI Quant Researcher - Build Production Trading Signals in London employer: QuantumLight

Quantum Light is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for talented individuals to thrive. With a focus on cutting-edge AI research and quantitative trading, employees benefit from continuous learning opportunities and the chance to shape the future of investment strategies. Located in a vibrant tech hub, the company offers a dynamic work environment that encourages creativity and professional growth.

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Contact Details:

QuantumLight Recruitment Team

We think you need these skills to ace Lead AI Quant Researcher - Build Production Trading Signals in London

AI Research
Quantitative Trading
Neural Networks
Investment Strategy Development
Data Pipelines Assessment
Trading Signal Translation
Research Culture Development