Senior Quantitative Engineer
Core
Design and develop a Quant platform managing Equity and Fixed Income research and trade generation using various Quant methodologies.
Role type
Senior IC quantitative software engineer
Builds
Quantitative research and trade generation platform
Domain
Financial services / Quantitative analysis
Deliverable
production ML models
Required skills
Python, PySpark, R, Java, PySpark, statistics, time-series analysis, asset pricing theory, algorithms, data structures, ML algorithms, numerical libraries (PySpark, Pandas, Polars, Cuml), big data cloud platforms (Databricks)
Preferred skills
containerized applications, public/private cloud deployment (Azure, AWS), web-based development and visualization
Technologies
PySpark, Pandas, Polars, Cuml, Databricks, Microsoft Azure, Amazon Web Services (AWS)
Responsibilities
Gather requirements from researchers and convert them to Tech specs and develop the models, Ensure code meets standards and tested appropriate to the platform, Provide technical guidance to the development team, Innovate and improve proprietary models and algorithms, Review existing excel based models and convert them to latest tech stack while generating required signals, Implement standards, processes, and tools for numerical library testing and code quality controls
Seniority
Senior, hands-on IC