Posted:1 week ago|
Platform:
On-site
Internship
We are seeking a Quantitative Analyst to join our trading team and contribute to strategy
development and trader performance management. The ideal candidate will have deep
expertise in derivatives markets and proven experience working with portfolio managers or
proprietary trading teams.
You will support, implement, and optimize trading strategies, manage risk exposures, and
drive performance improvements through rigorous data analysis.
● Manage and optimize existing strategy portfolios with emphasis on performance
consistency, drawdown control, and scalability
● Analyze trading performance and risk metrics to identify improvement opportunities
across trading desks
● Research, develop, and execute systematic or semi-systematic trading strategies
across derivatives, cash, and cross-asset markets
● Collaborate with research and technology teams to enhance execution quality, data
infrastructure, and signal generation
● Explore and backtest new alpha ideas, trading signals, and market opportunities
What We're Looking For
● 1–2 years of experience in quantitative or algorithmic trading, ideally within a
proprietary trading desk, hedge fund, or institutional trading environment
● Demonstrated experience in strategy research, execution, and risk management
● Strong quantitative and analytical capabilities, with solid foundations in statistics,
probability, and optimization
● Advanced proficiency in Excel and VBA
● Strong programming skills in Python for research and execution
● Experience working with large datasets, market data APIs, and backtesting
frameworks
● Collaborative mindset with ability to work effectively across technical and trading
teams
● Bachelor's or Master's degree in Mathematics, Statistics, Computer Science,
Engineering, or a related quantitative discipline
● Prior experience managing or co-managing a P&L-driven trading book
● Familiarity with equities, futures, options, or statistical arbitrage strategies
● Experience with strategy automation or execution algorithms
● Opportunity to work directly with experienced traders and portfolio managers
● Access to institutional-grade infrastructure, research tools, and market data
● Flat, meritocratic organizational structure with significant autonomy
● Competitive base compensation with performance-linked incentives
● Collaborative environment that values innovation, discipline, and sustainable alpha
generation
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