Quantitative Developer

Job Description

Aargo is looking to add an outstanding Quantitative Developer to one of our quantitative trading teams. Quantitative Developers collaborate extensively with quantitative traders, quantitative researchers and core platform team to build, optimize, and maintain trading team infrastructure. This includes building trading strategies, execution engines, alpha signals, and back-testing engines. Our quantitative developers use their creativity, data science knowledge, and technology skills to come up with novel solutions for solving difficult data modeling and computational problems. The candidate can expect exposure to a wide range of interesting and challenging problems involving statistical modeling, machine learning, deep learning, computational finance, and bleeding edge trading technology.

Required Core Competency

  • Very strong C++/Java development experience
  • Exceptional analytical and problem solving skills
  • Experience 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

  • Knowledge of low level and high level optimizations for improving trading strategies and associated infrastructure
  • Experience in developing HFT/MFT trading strategies at a top tier hedge fund, proprietary trading house or investment bank
  • Prior experience as a developer in a quantitative trading or core infrastructure team
  • Exposure to pandas, numpy, scikit-learn, statsmodels-tsa, TensorFlow, Keras, and Matplotlib libraries