Quantitative Analyst - Risk Gurugram, Haryana, India

Graviton Research Capital LLP

Gurugram District

On-site

INR 1,200,000 - 1,800,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation
Annual international team outing
Fully covered commuting expenses
Best-in-class health insurance
Catered breakfasts and lunches
4 weeks annual leaves
Gym and sports club memberships
Regular social events and clubs

Job summary

Graviton Research Capital LLP in Gurugram is seeking a Quant Analyst - Risk to join its team. This role involves working with senior traders to enhance automated trading strategies and analyze risk through comprehensive scripting in Python and C++. Candidates should possess a degree in Engineering, Mathematics, or Computer Science and have over 3 years of experience in the field.

The company promotes an open culture that encourages innovation, with perks including competitive pay, health insurance, and team outings.

Qualifications

  • 3+ years of experience in Python and Shell/Bash scripting.
  • Basic knowledge of Linux and shell command-line tools.
  • Strong work ethics and analytical skills.

Responsibilities

  • Work with senior traders on automated trading strategies.
  • Analyze production trades to enhance trading strategies.
  • Develop monitoring tools for production strategies.
  • Write scalable scripts in C++ and Python for risk analysis.
  • Build scalable post-trade systems for statistics analysis.
  • Manage deployments and release cycles with senior trader.

Skills

Python
Shell/Bash scripting
Analytical skills
Problem-solving
Basic knowledge of Linux

Education

Degree in Engineering, Mathematics, or Computer Science

Job 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 both C++ and python analysing production strategies for risk
  • attribution, performance break-ups along various buckets and so on.
  • Build ‘cool’ scalable post-trade systems analysing multitude of statistics across all production strategies.
  • Implementing tools for analysing Market Data centrally across various exchanges.
  • Managing deployments and release cycle, with working along with a senior trader.
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.
  • Basic knowledge of Linux and shell command-line tools
  • Basic programming and scripting (Python/Shell) skills
  • Strong problem-solving, and analytical skills
  • Have a strong work ethics

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!

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