Senior Consultant, RESL Advanced Analytics & Quantitative Risk Modeling

Job Overview

You’ll have flexibility to manage your work activities within a hybrid arrangement: 1–3 days per week on site, other days remote.

Responsibilities

• Develop, validate, and monitor risk models, scorecards, and characteristics to mitigate RESL credit risk, applying advanced statistical techniques and machine learning methods.
• Conduct detailed quantitative analysis to support new and existing strategies, models, and scorecards; translate complex findings into actionable recommendations.
• Design and implement data‑driven acquisition and account‑management strategies, optimizing risk–reward trade‑offs using champion/challenger methodologies.
• Provide subject‑matter expertise in RESL credit risk analytics; guide on complex models and strategies.
• Lead advanced analytics projects from conception to implementation, ensuring successful delivery and measurable impact.
• Build strong stakeholder relationships a...