Derivatives Quant Researcher - Market Signals Architect

Derivatives Quant Researcher - Market Signals Architect

Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
Jump Trading

At a Glance

  • Tasks: Use math and machine learning to predict market signals in derivatives.
  • Company: Join Jump Trading Group, a leader in financial innovation.
  • Benefits: Competitive salary, flexible hours, and opportunities for growth.
  • Other info: Fast-paced environment with exciting challenges and career advancement.
  • Why this job: Make an impact in finance by collaborating with top professionals.
  • Qualifications: Strong programming skills in Python and C++, plus knowledge of derivatives.

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

Jump Trading Group seeks a quantitative researcher to apply math, statistics, and machine learning to identify patterns and predict market signals in global derivatives space.

You will collaborate with traders, engineers, and researchers to push ideas and implement models.

The role requires deep knowledge of derivatives, strong programming in Python and C++, and the ability to work with cross-disciplinary teams in a fast-moving financial environment.

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Derivatives Quant Researcher - Market Signals Architect employer: Jump Trading

Jump Trading is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for aspiring quantitative traders. With a focus on empowering talent through intensive training and mentorship, interns will gain hands-on experience in developing predictive models and automated trading strategies while working alongside industry experts. Located in a dynamic environment, Jump offers unique opportunities for personal and professional growth, ensuring that every team member can thrive and contribute to groundbreaking research in financial markets.

Jump Trading

Contact Details:

Jump Trading Recruitment Team

We think you need these skills to ace Derivatives Quant Researcher - Market Signals Architect

Quantitative Research
Mathematics
Statistics
Machine Learning
Pattern Recognition
Market Signal Prediction
Derivatives Knowledge