Principal Associate, Quantitative Analysis
Core
Partner with lines of business to enhance modeling and analytical frameworks, creating novel analytical solutions and applying quantitative methods to improve business performance and process efficiencies.
Role type
Principal Associate, Quantitative Analysis
Builds
Cloud-based analytical solutions and decision frameworks
Domain
Financial services, quantitative analytics, econometrics, statistics, machine learning
Deliverable
production ML models
Required skills
Statistical or econometric modeling, Linear and logistic regression, Programming in R/Python/SQL, Survival analysis modeling, Time-series analysis, Panel data analysis, Cross-sectional data analysis, Machine Learning, Analysis and management of large datasets
Preferred skills
None stated
Technologies
R, Python, SQL
Responsibilities
Partner with lines of business to enhance modeling and analytical frameworks, Create novel analytical solutions to challenging business problems, Identify opportunities to apply quantitative methods and automation solutions, Collaborate in cross-disciplinary teams to build cloud-based solutions, Apply deep expertise in econometric, statistical, and machine learning methods to generate critical insights, Provide technical guidance to business leadership
Seniority
Principal, hands-on IC
