Description:

Graviton is a privately funded quantitative trading firm striving for excellence in financial markets' research. We are seeking a Quantitative Researcher for our team in Gurgaon. This team trades across a multitude of asset classes and trading venues using a gamut of concepts and techniques ranging from time series analysis, filtering, classification, stochastic models, pattern recognition to statistical inference analysing terabytes of data to come up with ideas to identify pricing anomalies in financial markets.

Responsibilities:

  • Develop new or improve existing trading models using in-house platforms
  • Use advanced mathematical techniques to model and predict market movements
  • Analyse large financial datasets to identify trading opportunities
  • Provide real time analytical support to experienced traders

Requirements:

  • Possess a degree in a highly analytical field, such as Engineering, Mathematics, Computer Science from IITs schools
  • Quantitative bent of mind
  • A working knowledge of Linux/Unix
  • Programming experience, preferably in C++ or C
  • No prior knowledge of financial markets is needed but must have a strong interest in learning about financial markets.
  • Have a strong work ethic
  • Hard Working

Benefits:

Our open and collaborative work culture gives you the freedom to innovate and experiment. Our cubicle free offices, non-hierarchical work culture and insistence to hire the very best creates a melting pot for great ideas and technological innovations. Everyone on the team is approachable, there is nothing better than working with friends!

Our perks have you covered.

  • Competitive compensation
  • Annual international team outing
  • Fully covered commuting expenses
  • Best-in-class health insurance
  • Delightful catered breakfasts and lunches
  • A well-stocked kitchen
  • 4 week annual leaves along with market holidays
  • Gym and sports club memberships
  • Regular social events and clubs
  • After work parties

Apply for this Job

* Required

resume chosen  
(File types: pdf, doc, docx, txt, rtf)


Our system has flagged this application as potentially being associated with bot traffic. Please turn off any VPNs, clear your browser cache and cookies, or try submitting your application in a different browser. If this issue persists, please reach out to our support team via our help center.
Please complete the reCAPTCHA above.