Quantitative Developer
Core
Build next-generation Research data platforms and tools to support investment idea generation, signal codification, back-testing, and productionization of trading decisions.
Role type
Quantitative Developer (Research Engineering)
Builds
Research data platform, investment signals, and data analysis tools
Domain
Quantitative finance / Systematic investment management
Deliverable
production ML models | product features
Required skills
Python (expert), pandas, numpy, OOP, data structures, numerical algorithms, probability, statistics, linear regression, time-series analysis
Preferred skills
R (tidyverse), high-performance computing, distributed computing, Hadoop, Spark, Kafka, SQL, Unix/Linux, unit testing, CI/CD, containerization, data visualization
Technologies
Python, R, pandas, numpy, PyData ecosystem, Hadoop, Spark, Kafka
Responsibilities
Write and maintain Python/R code for investment research production; design software to enhance data science technology stack; perform exploratory statistical analysis on large complex datasets; implement performance improvements in numerical programming code; run POCs to evaluate new technologies and libraries; work with engineers to design data feeds from third-party vendors
Seniority
Mid-level, hands-on IC