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Meril Life - Quantitative Researcher - Trading Domain

Meril Life - Quantitative Researcher - Trading Domain

MERIL LIFE SCIENCES PRIVATE LIMITEDBangalore
7 hours ago
Job description

Position : Quantitative Researcher - Trading Team

Location : Bangalore, India

Company : Minix Meril Group

Minix Meril is dedicated to world-class quantitative and scientific research. We bring together exceptional talent in Mathematics, Physics, Engineering, and Computer Science to explore complex market dynamics, build predictive trading models, and drive technological innovation. Our environment combines the agility of a start-up with the strength of global resources, fostering collaboration, creativity, and continuous discovery.

Key Responsibilities :

  • Collect and analyze global financial market data to identify patterns and structural insights.
  • Apply statistical analysis and data-mining methods to develop forecasting tools and predictive trading models.
  • Collaborate closely with traders, researchers, and engineers to design and optimize trading strategies.
  • Work with technology and business teams to support advanced electronic trading initiatives.
  • Contribute to the ongoing enhancement of research, tooling, and modelling capabilities.

Required Skills :

  • Strong programming skills in C++ and Python within a Linux environment.
  • Experience with Python, R, or MATLAB for research and modelling.
  • Knowledge of forecasting and ML techniques such as regression (linear / non-linear), neural networks, SVMs, etc.
  • Strong interest in machine learning applications in trading.
  • Master's or PhD in Statistics, Mathematics, Physics, Engineering, or a related quantitative field.
  • Collaborative, driven, and analytical mindset with reliable availability.
  • Preferred (Not Mandatory) :

  • Experience building or contributing to profitable trading strategies.
  • Exposure to large datasets, real-time data frameworks, or model deployment in trading environments.
  • Experience developing statistical or ML models used in financial applications.
  • (ref : hirist.tech)

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