Quantitative Developer

Recruiter
Algorithmic Research Global - Aargo Trade
Location
Mumbai, India
Salary
Competitive
Posted
25 Oct 2022
Closes
15 Nov 2022
Ref
16082216
Job Function
Trading
Industry Sector
Finance - General
Employment Type
Full Time
Education
Bachelors
Algorithmic Research Global - Aargo Trade

About Us

Algorithmic Research Global (Aargo Trade) is a global investment management firm, built on strong foundations of scientific research and technology. We deploy proprietary capital in a variety of quantitative trading strategies built and run by our in-house trading teams and external trading partners.

We are a team of traders, data scientists and technologists working together to find inefficiencies in the financial markets by leveraging our decades long experience in systematic trading, data science, and trading technology. At Aargo Trade, we are using mathematics and data science driven rigorous research for creating novel quantitative trading strategies and using technology at scale to build and trade in financial markets spread across the globe.

Job Description - Quantitative Developer

Aargo is looking to add an outstanding Quantitative Developer to one of our quantitative trading teams. Quantitative Developers collaborate extensively with quantitative traders 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
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