Sr. Quantitative Engineer
Core
Designing and overseeing common, reusable, and scalable software components for Global Risk Management's data and analytical capabilities, including generic data quality tools and domain-specific classification models.
Role type
Senior IC quantitative software engineer (risk analytics)
Builds
Production data pipelines, scalable software components, and testing frameworks for risk management
Domain
Financial services / Quantitative risk management
Required skills
Software engineering, big data pipeline development, quantitative modeling, Python programming, stakeholder management, technical documentation
Preferred skills
Machine learning, statistics, process automation, user-facing application development
Technologies
Python, MapReduce, dataframes, React, Angular, JavaScript
Responsibilities
Design and implement scalable software components for data quality and risk modeling; build performant big data pipelines; apply quantitative methods to meet regulatory requirements; lead and mentor less experienced team members; collaborate with senior stakeholders on data and analytics strategy; produce technical documentation for internal and regulatory purposes
Seniority
Senior, hands-on IC with leadership responsibilities
