Role:
- Integrate with cloud infrastructure providers to tackle storage and compute challenges across large datasets and parallel computations
- Design, develop, and deploy elegant software solutions across research, alpha & signal generation, risk modeling, and backtesting components
- Researching and implementing performance analytics, including signal performance and post-trade analytics (e.g. slippage, fill-rate, and market impact reports)
- Partner with investment professionals and quantitative researchers to define priorities, deliver custom software solutions, and improve the investment process
- Build automated ETL pipelines to support rapid but controlled transition from research to live trading
- Feature selection research on alternative datasets
Requirements:
- Passion for technology, software development, and mathematics
- Proficiency with one or more programming languages (C++, Python or Java)
- Experience with Distributed Computing, Natural Language Processing, Machine Learning, Platform Development, Networking, System Design
- Exceptional quantitative and analytical skills
- Master’s or PhD degree in Computer Science, Mathematics, Statistics, or equivalent field