Data-Driven Credit Risk Lead

iBusiness Funding, LLC; Fort Lauderdale (FL); Vor Ort; USD 120.000 - 160.000; Vollzeit

Zusammenfassung

iBusiness Funding seeks a skilled Credit Risk Manager to develop data-driven credit strategies that drive growth while maintaining risk parameters. You will own BI reporting, translate insights into policy, and collaborate with partners and internal teams to optimize approvals and funding.

The role emphasizes analytical rigor, commercial acumen, and cross-functional collaboration across Modeling, Analytics, Operations, and Technology to support scalable lending.

Qualifikationen

• Minimum 5 years of experience in credit risk or lending analytics.
• Strong knowledge of lending funnels and risk-adjusted returns.
• Experience building dashboards in BI tools; ability to translate data into actions.
• Collaborative with cross-functional teams including Modeling, Data, and Operations.
• Bachelor's degree in Finance, Economics, Statistics, or related field.

Aufgaben

• Develop and refine credit strategies using application, offer, funding, and portfolio data.
• Build and maintain QuickSight dashboards for pipeline and credit performance.
• Translate insights into credit policy, decision rules, and model implementation.
• Collaborate with embedded lending partners and internal teams to improve risk-adjusted growth.
• Monitor risk indicators and propose corrective actions to improve portfolio performance.

Kenntnisse

Credit risk

Credit strategy

Lending analytics

Portfolio management

Analytical thinking

Data visualization

Ausbildung

Bachelor's degree in Finance/Economics

Tools

Amazon QuickSight

SQL

Python

Excel

Jobbeschreibung

iBusiness Funding seeks a skilled Credit Risk Manager to develop data-driven credit strategies that drive growth while maintaining risk parameters. You will own BI reporting, translate insights into policy, and collaborate with partners and internal teams to optimize approvals and funding.

The role emphasizes analytical rigor, commercial acumen, and cross-functional collaboration across Modeling, Analytics, Operations, and Technology to support scalable lending.