Quantitative Finance Analyst
Core
Conduct quantitative analytics and modeling projects for specific business units or risk types, including market risk stress testing, model development, and validation.
Role type
Quantitative Finance Analyst (Model Risk Management & Analytics)
Builds
Production-grade Python solutions for forecasting, stress testing, and model execution workflows.
Domain
Financial Services / Quantitative Risk Analytics
Deliverable
production ML models | dashboards & analysis | infrastructure
Required skills
Python (production-grade), SQL, Statistical Analysis, Model Validation, Stress Testing, Data Engineering, Root Cause Analysis, Technical Documentation
Preferred skills
Tableau, Alteryx, Regulatory Forecasting, Financial Risk Management, GCP Migrations
Technologies
Python, SQL, Excel, Tableau, Alteryx, GCP
Responsibilities
Perform end-to-end market risk stress testing including scenario design, implementation, and result analysis; Design, develop, and support Python-based solutions to automate production processes; Build and maintain data sourcing, transformation, monitoring, and reporting workflows; Develop scalable solutions to improve efficiency and reduce operational risk; Create and maintain process documentation, operational procedures, and governance artifacts for regulatory compliance; Investigate production issues and perform root cause analysis; Support model onboarding, enhancements, and production implementations.
Seniority
Mid-Senior, hands-on IC
