Quantitative Trader

Job Description

We are seeking exceptional experienced Quantitative Traders to build / lead our Quant Team and start trading.

Requirements

If you are building and executing consistent profitable trading strategies and meet the following criteria, then we would like to you to become part of our team:
• B Tech, MSc or PhD from a top school in Maths, Physics, Computer Science etc.
• Expertise in statistical techniques, experience conducting on large datasets
• Programming proficiency in either C/C++, Java, Python, R, Matlab etc.
• Ability to work independently or as a part of a team, and to lead a project from whiteboard to code implementation
• Prior experience with algorithmic trading or familiarity with high-frequency financial data is a MUST.
• Minimum 2+ years of experience in the financial markets
• Very strong communication skills- ability to present ideas and strategies clearly and interact well with both peers as well as senior management.

Responsibilities
• Drive and passion to lead a team and to work in an open, creative and collaborative start-up environment.
• The profile of the person is one who would be on the trading desk with experience trading in any markets across the world.
• Building strategies that are consistently profitable and have a proven track record (not just back tested results); we are open to all market and all asset classes
• Risk Management and Hedging
• Analysis of market volatility
• Excellent Return on Capital
• Experience at a top Trading firm or HFT based firm
• Excellent leadership qualities
• Analysis of trading performance and development of new logic to improve trading performance
• Evaluation of performance of existing and new trading strategies
• Optimisation of the performance of strategies
• Work closely with developers to manage the development of sophisticated trading/risk system which includes understanding requirements, developing new functionality etc
• Experience of working on quantitative or statistical arbitrage or machine learning based strategies will be preferred.