NS
Gurugram, Haryana, India
PythonMachine LearningAIFinance
GR
Salary not disclosed
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Role overview
Job description
Who are we: Graviton is a privately funded quantitative trading firm striving for excellence in financial markets research. We trade 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 analyzing terabytes of data to come up with ideas to identify pricing anomalies in financial markets. 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. Description Lead research in applying machine learning to a wide variety of datasets and trading
…About this listing
- Source: Graviton Research Capital LLP's official careers site (via Greenhouse) · last confirmed on the source 2 Nov 2026
- Posted 10 Mar 2026
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What they are looking for
Skills & requirements
Department · Quantitative Trading
Hiring company
Graviton Research Capital LLP
Technology
Graviton is a quantitative investment firm established in 2014. Since our inception, we have created a team of researchers, portfolio managers, and technologists. The use of quantitative analysis and insights in financial markets enables us to compete in some of the most complex and competitive products. As an emerging electronic trading firm, we integrate disciplines such as computer science, finance, systems engineering, and statistics. We have a team of passionate engineers and traders who have built some of the fastest systems for trading. We have some of the most accomplished quantitative traders in India. We have separate trading teams who use a wide range of trading strategies across different asset classes. Our trading teams have strategic autonomy but have access to resources which are shared across the organization like software, technology, and connectivity.
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