Quant Trader

AlphaGrep is a quantitative trading and investment firm founded in 2010. We are one of the largest firms by trading volume on Indian exchanges and have significant market share on several large global exchanges as well. We use a disciplined and systematic quantitative approach to identify factors that consistently generate alpha. These factors are then coupled with our proprietary ultra-low latency trading systems and robust risk management to develop trading strategies across asset classes (equities, commodities, currencies, fixed income) that trade on global exchanges.

Our traders execute lightning-fast algorithmic strategies based on patterns in market behavior in over 150 markets worldwide. As a Quantitative Trader, you’ll draw upon your computer science, mathematical, and analytical abilities to develop complex and nimble code used to grow our business and increase the efficiency of the global financial markets.

AlphaGrep seeks a Quantitative Trader to join our Bengaluru office and execute strategies based on market behavior.

Responsibilities

• Identify, maintain, and enhance trading strategies and business opportunities for our market making Algorithmic trading teams

• Use systematic and data-driven approach to identify areas of improvement for existing strategies

• Take P&L responsibility and drive what new frameworks need to be developed by the team to enhance the P&L in respective markets.

• Financial model construction, back-testing, maintenance and improvement

• Monitor and evaluate how strategies interact with evolving market microstructure, identifying behavioural gaps, execution inefficiencies, and edge cases that impact performance

• Conduct opportunity landscape assessments across a diverse set of strategies to provide the team with clear, data-backed direction on where to prioritise focus and allocate resources

• Perform post-trade analysis and strategy attribution to distinguish between structural alpha decay, market regime changes, and implementation shortfalls

• Monitor real-time trading activity and intervene where necessary to manage drawdowns, exposure limits, and anomalous strategy behaviour, translating live observations and patterns into actionable insights to continuously refine and improve strategy performance

• Contribute to the continuous improvement of internal tooling, analytics platforms, and reporting infrastructure to support faster and more rigorous decision-making

Qualifications

• 2-4 years experience working in High Frequency Trading preferred

• Bachelors/Masters/PhD degree in related fields from top tier institute

• Experience with Data Analysis, Market Research and Data Modelling (a plus)

• Software development experience, preferably in C++, Python or R/Matlab

• The ability to manage multiple tasks in a fast-paced environment

• Strong communication skills

• A working knowledge of Linux/Unix

Why You Should Join Us

• Great People. We’re curious engineers, mathematicians, statisticians and like to have fun while achieving our goals

• Transparent Structure. Our employees know that we value their ideas and contributions

• Relaxed Environment. We have a flat organizational structure with frequent activities for all employees such as yearly offsites, happy hours, corporate sports teams, etc.

• Health & Wellness Programs. We believe that a balanced employee is more productive. A stocked kitchen, gym membership and generous vacation package are just some of the perks that we offer our employees