Senior Quantitative Developer
Core
Build next-generation research data platforms and investment signal production tools using Python, cloud, and distributed computing.
Role type
Senior Quantitative Developer (Research Infrastructure)
Builds
Investment research data platform, data APIs, numerical libraries, and production-grade Python code for signal generation and back-testing.
Domain
Quantitative Finance / Financial Data Engineering
Deliverable
production ML models
Required skills
Python (production-grade), OOP, numerical algorithms, RDBMS, S3, columnar databases, NoSQL, Spark, Dask, HPC, probability and statistics, time-series analysis
Preferred skills
Hadoop, Kafka, Unix/Linux, unit testing, CI/CD, containerization, data visualization
Technologies
Python, Spark, Dask, HPC, RDBMS, S3, Kafka, Hadoop
Responsibilities
Write and maintain Python libraries for investment research; design software to enhance data science tech stack; 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