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greenhouse

Machine Learning Researcher

Graviton Research Capital LLP
Gurugram, IND
Full-time
Mid · 2+ years experience
Onsite
Discovered 3 weeks ago
PythonC++TensorFlowKerasPyTorch
Free

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PythonC++TensorFlow
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Description

Lead research in applying machine learning to a wide variety of datasets and trading problems

Follow latest developments in academic research and incorporating research techniques from different fields of applications to our problems

Improve tick-by-tick order book based time series feature sets using latest preprocessing techniques

Work on current and develop new deep learning models to exploit large pool of in-house features and computing infrastructure

Develop scalable pipeline for building predictive models across global markets

Discover and implement new sources of predictive alpha, verify that they improve existing models, and integrate them into the firm's strategy development pipeline

Partner with quant researchers and software developers in implementation of conducted research to production using Python / C++

Advise infrastructure support team on latest developments on hardware and software to improve computing infrastructure for ML based research

Qualifications

  • Masters or PhD in Computer Science, Mathematics, Statistics, or a related field
  • At least two years of demonstrated experience of ML/AI research in a professional setting or at a reputable academic institution
  • Track record of academic publications preferred
  • Experience with software engineering in Python / C++
  • Experience with Tensorflow, Keras, PyTorch is highly desirable

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

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