Senior Quantitative Developer
Core
Building next-generation research data platforms and tools to support investment idea generation, signal codification, back-testing, and return/risk forecasting for trading decisions.
Role type
Senior Quantitative Developer (Research Infrastructure)
Builds
Production-grade Python libraries, financial data APIs, numerical APIs, and distributed computing infrastructure for investment research.
Domain
Quantitative Finance / Systematic Investment / Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Python (production-grade), OOP, data structures, numerical algorithms, RDBMS, S3, columnar databases, NoSQL, Spark, Dask, HPC, probability/statistics, time-series analysis
Preferred skills
Hadoop, Kafka, Unix/Linux, unit testing, CI/CD, containerization, data visualization
Technologies
Python, Spark, Dask, HPC, S3, RDBMS, NoSQL, Kafka, Hadoop
Responsibilities
Write and maintain Python libraries for investment research; design software to enhance data science stacks; implement financial and numerical APIs; apply cloud and distributed computing; optimize performance of data analysis code; run POCs for new technologies; design data feeds from third-party vendors; lead major platform components; mentor junior team members.
Seniority
Senior, hands-on IC with mentorship responsibilities