full-time
Quantitative Developer
Aleto
- Employer
- Aleto
- Location
- Chicago
- Working pattern
- remote
About the role
Develop and maintain high-performance, reliable, and scalable live trading systems, and collaborate with quantitative researchers on research platforms and backtesting systems. Build ETL pipelines to efficiently process and manage large-scale financial data. A degree in computer science, statistics, mathematics, or a related field is required, along with proficiency in C++ and Python and strong system design skills. Candidates should have an interest in financial markets, market microstructure, and quantitative trading, plus experience with large-scale data processing and databases using tools such as Spark or Hadoop and SQL.