Hiring: Lead AI Quant Researcher for VC Trading

Hiring: Lead AI Quant Researcher for VC Trading

Full-Time 90000 - 110000 Β£ / year (est.) No working from home possible
QuantumLight

At a Glance

  • Tasks: Lead AI research to develop innovative quantitative investment strategies for VC trading.
  • Company: Quantum Light, a pioneering firm in AI-driven trading solutions.
  • Benefits: Attractive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Be part of a dynamic team with a focus on innovation and collaboration.
  • Why this job: Join a cutting-edge team and shape the future of AI in finance.
  • Qualifications: Strong background in AI research and quantitative trading experience required.

The predicted salary is between 90000 - 110000 Β£ per year.

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

You will lead our AI research on developing a quantitative investment strategy for VC and help shape the foundation of our AI-driven trading platform.

This role focuses on building scalable AI quant research capabilities, evaluating architectures, and integrating signal sources.

You will collaborate with ML and trading teams to push the frontier of AI-powered quantitative #J-18808-Ljbffr

Hiring: Lead AI Quant Researcher for VC Trading 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.

QuantumLight

Contact Details:

QuantumLight Recruitment Team

We think you need these skills to ace Hiring: Lead AI Quant Researcher for VC Trading

AI Research
Quantitative Trading
Investment Strategy Development
Scalable AI Systems
Architecture Evaluation
Signal Source Integration
Collaboration with ML Teams