Quantitative Researcher β€” ML Trading Signals & Models

Quantitative Researcher β€” ML Trading Signals & Models

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

At a Glance

  • Tasks: Advance mathematical models to identify investment opportunities using machine learning.
  • Company: Xantium, a leader in innovative financial solutions.
  • Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
  • Other info: Collaborate with experienced portfolio managers and engineers in a fast-paced environment.
  • Why this job: Join a dynamic team and make an impact in global markets with your research.
  • Qualifications: PhD in mathematics/statistics or strong mathematical background required.

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

Xantium is seeking a Quantitative Researcher to advance mathematical models for identifying investment opportunities in global markets.

You will collaborate with senior portfolio managers and engineers, applying research techniques and machine learning to diverse data, markets and asset classes.

A Ph D in mathematics or statistics is required or you must demonstrate a strong, competitive mathematical background.

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Quantitative Researcher β€” ML Trading Signals & Models employer: Xantium

Xantium is an exceptional employer for Quantitative Volatility Traders, offering a dynamic work environment in the heart of New York City. With a strong emphasis on collaboration, employees benefit from mentorship opportunities that foster professional growth and development in trading strategies. The competitive compensation package, including guaranteed bonuses, reflects our commitment to rewarding talent and performance, making Xantium a prime choice for those seeking a meaningful career in finance.

Xantium

Contact Details:

Xantium Recruitment Team

We think you need these skills to ace Quantitative Researcher β€” ML Trading Signals & Models

Mathematical Modelling
Statistical Analysis
Machine Learning
Data Analysis
Investment Research
Collaboration Skills
Problem-Solving Skills