Quantitative Analyst

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 analysing terabytes of data to come up with ideas to identify pricing anomalies in financial markets.

Position Overview: As a Quantitative Analyst, you will play a crucial role in developing and enhancing high-frequency trading strategies. You will analyze complex financial data, build predictive models, and collaborate with our trading and technology teams to drive performance improvements. Your work will involve applying advanced statistical techniques and programming skills to solve challenging problems in a fast-paced trading environment.

Your Objectives:

• Work alongside senior traders to implement and enhance automated trading strategies, ensuring they operate efficiently and effectively.
• Analyze production trades to identify areas for improvement. Develop and propose enhancements to trading strategies based on your findings.
• Design and implement monitoring tools to detect potential issues in production strategies, ensuring timely identification and resolution.
• Write comprehensive, scalable scripts in C++ and Python to analyze production strategies, focusing on risk attribution, performance breakdowns, and other critical metrics.
• Develop innovative and scalable post-trade systems to analyze a wide range of statistics across all production strategies, enhancing overall strategy performance.
• Create and implement tools for centralized market data analysis across various exchanges, improving data integration and insights.
• Oversee the deployment and release cycles of trading systems, collaborating with senior traders to ensure smooth and effective rollouts.
  
  

• Hold a degree in a highly analytical field such as Engineering, Mathematics, or Computer Science from top tier global institutes.
• Basic familiarity with Linux and command-line tools, along with foundational programming skills in C/C++ and scripting experience in Perl/Python/Shell.
• Demonstrate strong problem-solving abilities, with advanced mathematical and quantitative reasoning skills.
• Exhibit excellent communication skills, with the ability to clearly convey complex technical concepts.
• Possess a strong quantitative mindset with a keen interest in data-driven problem-solving.
  
  

• Experience with high-frequency trading systems and infrastructure.
• Knowledge of market microstructure and high-frequency trading strategies.
• Familiarity with low-latency programming and optimization techniques.
  
  

• 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