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Machine Learning Researcher

2.00 to 5.00 Years   Gurugram   06 Jan, 2021
Graviton Research Capital LLP
Job LocationGurugram
EducationNot Mentioned
SalaryNot Disclosed
IndustryBanking / Financial Services
Functional AreaOperations Management / Process Analysis
EmploymentTypeFull-time

Job Description

Graviton is a privately funded quantitative trading firm striving for excellence in financial markets research. We are seeking Machine Learning Researcher for our team in Gurgaon/ Singapore.As part of this team you will be tasked to apply machine learning and specifically deep learning techniques to trading problems while staying connected to broader research community. The researcher will put theory into practice and can immediately impact the global trading landscape with the expanding presence of Graviton in various markets.Graviton trades across a multitude of asset classes and trading venues using a gamut of concepts and techniques ranging from time series analysis, filtering, pattern recognition to statistical inference analysing terabytes of data to come up with ideas to identify pricing anomalies in financial markets.Teams at Graviton have diverse and detailed experience in their areas of expertise. We have dedicated Engineering and Computing infrastructure support teams to speed up research in our core business of quantitative trading.Description

  • Lead independent 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 firms 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 casual work culture gives you the space to innovate and deliver. Our cubicle free offices , disdain for bureaucracy and insistence to hire the very best creates a melting pot for great ideas and technology innovations. Everyone on the team is approachable, there is nothing better than working with friends!Our perks have you covered.
  • Competitive compensation
  • 6 Weeks of paid vacation
  • Monthly after work parties
  • Catered breakfast and lunch
  • Fully stocked kitchen
  • International team outing
,

Keyskills :
academic researchcomputer sciencemachine learningsoftware engineeringfinancial marketsstatistical inferencepattern recognitiontime series analysisdeep learningtime seriesstrategy development

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