Enterprise Risk Management Lead

atU.S. Financial TechnologyRemoteUS flagUnited StatesFull-timeInsuranceSenior$156.5k – $181k/year

Posted 1 day ago

This is a fully remote position, open to applicants in United States.

📋 Description

• Deliver prompt reporting across various Enterprise Risk Management initiatives, assessing risk and control frameworks concerning the issuance and management of GSE Mortgage-Backed Securities.

• Act as the primary technical resource for the ERM team regarding Key Risk Indicator (KRI) and Key Indicator (KI) trends, visual displays, and data analytics efforts.

• Create, develop, and sustain enterprise risk management dashboards, executive scorecards, KPI frameworks, and analytical solutions utilizing Power BI and other business intelligence or AI platforms.

• Collaborate with business stakeholders to establish metrics, collect and confirm requirements, refine business inquiries, and convert needs into scalable reporting and analytics solutions.

• Evaluate business performance, risk indicators, and operational trends to uncover opportunities, emerging risks, recurring issues, and areas for enhancement.

• Provide insights and recommendations that aid in strategic decision-making, operational efficiency, and business performance goals.

• Automate, streamline, and improve regular reporting processes.

• Enhance advanced analytics capabilities, including AI-driven reporting, predictive insights, and intelligent automation for ERM applications.

• Ensure the integrity, accuracy, and reliability of reporting through data validation, reconciliation, testing, quality assurance, and documentation.

• Convey complex analytical findings to executives, business leaders, and non-technical stakeholders effectively.

• Cultivate partnerships across business, technology, risk, compliance, audit, and additional cross-functional teams.

• Coordinate with ERM management regarding the reporting of ERM data for governance forums.

• Advocate for trusted data standards, process enhancements, automation, and data-informed decision-making.


⛳️ Requirements

• A Bachelor’s degree in Analytics, Business, Data Science, Statistics, Mathematics, Finance, Computer Science, Engineering, or a related quantitative field is required.

• A minimum of 7-8 years of management experience in enterprise risk and operational risk management is necessary.

• Must possess authorization to work in the US without the need for employer sponsorship now or in the future.

• Advanced expertise in Power BI, including data modeling, DAX, Power Query, dashboard architecture, performance optimization, and executive reporting.

• Strong practical experience with Python, SQL, and PostgreSQL, covering data extraction, transformation, automation, analytical modeling, and reporting solutions.

• Demonstrated proficiency in designing, developing, and maintaining enterprise-scale dashboards, executive scorecards, KPI frameworks, and business intelligence solutions.

• Advanced analytical and quantitative abilities.

• Experience in converting complex business challenges into scalable analytical and reporting solutions.

• Capability to analyze business performance and identify trends, risks, and opportunities.

• Outstanding communication, presentation, stakeholder management, and consultative influencing skills.

• Ability to work independently in a highly visible individual contributor role while leading initiatives and influencing outcomes across teams.

• Experience ensuring data integrity, governance, and reporting accuracy through validation, reconciliation, testing, quality assurance, and documentation.

• Familiarity with advanced analytics, predictive modeling, AI-driven reporting, machine learning, or intelligent automation.

• Background in risk management, enterprise risk, compliance, audit, third-party risk, fintech, financial services, or other highly regulated sectors is strongly preferred.

• Knowledge of Mortgage/Securitization market processes is a plus.

• CISA certification is preferred.

• AWS Certified Data Analytics, IBM Data Analyst Professional, or Google Data Analytics Professional certifications are desirable.


🏝️ Benefits

• Performance bonus.

• 401k match.

• Healthcare coverage.

• PTO.

• Competitive total compensation package.

• Background investigation and potential credit check as part of employment screening.

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