Quantitative Risk Modeler
2 weeks ago
About Our Team
The Risk Economics Strats (RES) team is a central part of the Goldman Sachs risk management framework, responsible for developing macroeconomic and financial scenarios for firm-wide scenario-based risk management.
Our team interfaces with a wide array of divisional, finance and risk management groups across the firm, making for a challenging and multifaceted work environment.
We are seeking a highly skilled Quantitative Risk Modeler to join our team, with strong quantitative and analytical skills and hands-on experience in handling data, model building and programming.
- Develop and implement statistical models for credit loss forecasting and business-as-usual risk management requirements
- Collaborate with other teams to understand different use-cases and refine models
- Document loss forecasting, stressed capital models and methodologies for both internal and regulatory requirements
Requirements
- Advanced degree in a quantitative discipline
- 3-5 years of experience in financial modeling, loss forecasting and business analytics related roles
- Experience with statistical techniques including segmentation, decision trees and other advanced risk predictive modeling methods
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