GR
Gurugram, Haryana, India
PythonLinuxC++
GR
Salary not disclosed
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Role overview
Job description
Description: Graviton is a privately funded quantitative trading firm striving for excellence in financial markets' research. We are seeking a Quant Analyst - Risk for our team in Gurugram. Graviton 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. As a Quant Analyst - Risk you will be responsible Work as a team with senior traders to operate and implement/improve our automated trading strategies. Analysing production trades and developing ideas to improve our trading strategies. Implement monitoring tools which highlight potential issues in the production strategies. Write comprehensive and scalable scripts in
…About this listing
- Source: Graviton Research Capital LLP's official careers site (via Greenhouse) · last confirmed on the source 3 Nov 2026
- Posted 12 Jun 2026
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What they are looking for
Skills & requirements
Qualification
Requirements : Possess a degree in a highly analytical field, such as Engineering, Mathematics, or Computer Science from top-ranked universities 3+ years of experience in Python, Shell/Bash scripting
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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