Remote Enterprise Risk Analytics Lead

Common Securitization Solutions; United States; Remote; USD 157,000 - 181,000; Full time

Job summary

U.S. FinTech is seeking an experienced Enterprise Risk Management Data Analytics Lead to join our team in a full-time remote capacity in the United States.

The role focuses on designing and delivering dashboards, KPI frameworks, and analytics that monitor risk across issuance and administration of GSE Mortgage-Backed Securities. You will partner with stakeholders to define metrics, validate requirements, and translate complex data into actionable insights for executives and cross-functional

Qualifications

• Bachelor's degree in analytics, data science, finance, or related quantitative field is required.
• Advanced degree and certifications such as CISA are a plus.
• Experience designing enterprise dashboards and KPI frameworks for risk management.

Responsibilities

• Design, develop, and maintain enterprise risk dashboards and executive scorecards.
• Collaborate with stakeholders to define metrics and translate needs into scalable reporting.
• Analyze risk indicators and trends to identify opportunities and risks.
• Automate recurring reporting to improve efficiency and accuracy.
• Support AI-enabled reporting and advanced analytics for ERM use cases.
• Ensure data integrity and governance across reporting outputs.

Skills

Power BI

Python

SQL

PostgreSQL

Data governance

KPI design

Stakeholder management

Executive reporting

Data visualization

Analytics modeling

Education

Bachelor's degree

Advanced degree preferred

CISA

Tools

Power BI

Python

PostgreSQL

Data modeling

Job description

U.S. FinTech is seeking an experienced Enterprise Risk Management Data Analytics Lead to join our team in a full-time remote capacity in the United States.

The role focuses on designing and delivering dashboards, KPI frameworks, and analytics that monitor risk across issuance and administration of GSE Mortgage-Backed Securities. You will partner with stakeholders to define metrics, validate requirements, and translate complex data into actionable insights for executives and cross-functional