Aargo is looking to add an outstanding Quantitative Trader to one of our quantitative trading teams. Quantitative Traders collaborate extensively with quantitative researchers and quantitative developers to create, build, and run systematic trading strategies. Our quantitative developers use their mathematics, data science, and analytical skills to analyze market data for finding patterns and build novel quantitative trading strategies. They also execute strategies during market hours and fine tune parameters to improve strategy performance. The candidate can expect exposure to a wide range of interesting and challenging problems involving financial market, statistical modeling, machine learning, deep learning, and computational finance.

Required Core Competency

• Deep understanding of financial markets and market micro-structure
• Exceptional analytical and problem solving skills and strong track record of using creativity to come up new HFT/MFT trading strategies
• Hands on knowledge in applying statistical and machine learning methods to financial data using Python/R
• Comfortable taking ownership of projects and responsibilities with minimum supervision
• At least a bachelors degree in Computer Science,  Mathematics,  Statistics, Data Science or other quantitative discipline

Good to Have

• C++/Java development experience
• Experience in using quantitative methods for strategy parameter optimization
• Prior experience at a top tier hedge fund, proprietary trading house or investment bank
• Exposure to pandas, numpy, scikit-learn, statsmodels-tsa, TensorFlow, Keras, and Matplotlib libraries