Quant Trader: Fast-Paced, Collaborative Strategy Desk in London

Quant Trader: Fast-Paced, Collaborative Strategy Desk in London

London Full-Time 54000 - 66000 Β£ / year (est.) No working from home possible
Five Rings LLC - Careers

At a Glance

  • Tasks: Tune model parameters and refine trading models in a fast-paced environment.
  • Company: Join Five Rings, a dynamic firm at the forefront of quantitative trading.
  • Benefits: Collaborative culture with opportunities for mentorship and growth.
  • Other info: Fast-paced setting with direct collaboration with senior traders.
  • Why this job: Make an impact by developing innovative trading strategies from day one.
  • Qualifications: Strong analytical skills and a passion for data-driven decision making.

The predicted salary is between 54000 - 66000 Β£ per year.

Five Rings is seeking a Quant Trader to join our London desk.

You will tune model parameters, analyze live market feedback, and refine trading models in a fast-paced, data-driven setting.

From day one, you will work closely with senior traders and quants, developing ideas and integrating them into trading strategies and systems, while applying rigorous risk-reward analysis and fast learning on sophisticated models.

#J-18808-Ljbffr

Quant Trader: Fast-Paced, Collaborative Strategy Desk in London employer: Five Rings LLC - Careers

Five Rings is an exceptional employer, offering a dynamic and collaborative work environment in the heart of London. With a strong focus on employee growth, you will have the opportunity to learn from experienced traders and quants while contributing to innovative trading strategies. The fast-paced nature of our desk ensures that every day brings new challenges and rewards, making it an ideal place for those seeking meaningful and impactful work.

Five Rings LLC - Careers

Contact Details:

Five Rings LLC - Careers Recruitment Team

We think you need these skills to ace Quant Trader: Fast-Paced, Collaborative Strategy Desk in London

Model Tuning
Market Analysis
Trading Model Refinement
Risk-Reward Analysis
Data Analysis
Collaboration
Fast Learning