Enterprise Risk Management Lead

U.S. Financial Technology

. Provide timely reporting across multiple Enterprise Risk Management programs evaluating risk and control structures around the issuance and administration of GSE Mortgage-Backed Securities .

Posted 11/2/2026full-timeRemote • United StatesSenior💰 $156,500 - $181,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced proficiency in Power BI for data modeling, dashboard architecture, and executive reporting, alongside strong analytical skills in Python, SQL, and PostgreSQL for enterprise risk management. Capable of translating complex business challenges into scalable reporting solutions while ensuring data integrity and governance.

Highest-signal resume keywords

Advanced Proficiency In Power BIPython ProgrammingSQL Database ManagementEnterprise Risk Management ExperienceData Integrity And Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingDAXPower QueryAnalytical ModelingPredictive ModelingMachine LearningDashboard DevelopmentKPI FrameworksData ExtractionAutomation

Soft Skills

Exceptional CommunicationStakeholder ManagementConsultative InfluencingPresentation SkillsIndependent Operation

Tools & Technologies

Power BIAWS Data AnalyticsIBM Data Analyst ProfessionalGoogle Data AnalyticsBusiness Intelligence Platforms

Certifications & Qualifications

CISA CertificationAWS Certified Data AnalyticsIBM Data Analyst ProfessionalGoogle Data Analytics Professional

Industry Keywords

Enterprise Risk ManagementOperational Risk ManagementComplianceAuditFintechFinancial ServicesMortgage-Backed SecuritiesSecuritizationData GovernanceRisk Indicators

Tech Stack

Tools & technologies

AWSPostgresPythonSQL

About the role

Key responsibilities & impact

Provide timely reporting across multiple Enterprise Risk Management programs evaluating risk and control structures around the issuance and administration of GSE Mortgage-Backed Securities
Serve as the ERM team’s primary technical resource for KRI and KI trending, graphing, visual displays, and data analytics activities
Design, develop, and maintain enterprise risk management dashboards, executive scorecards, KPI frameworks, and analytics solutions using Power BI and other business intelligence or AI platforms
Partner with business stakeholders to define metrics, gather and validate requirements, refine business questions, and translate needs into scalable reporting and analytics solutions
Analyze business performance, risk indicators, and operational trends to identify opportunities, emerging risks, recurring issues, and areas for improvement
Deliver insights and recommendations supporting strategic decision-making, operational effectiveness, and business performance objectives
Automate, optimize, and enhance recurring reporting processes
Support advanced analytics capabilities, including AI-enabled reporting, predictive insights, and intelligent automation for ERM use cases
Ensure reporting integrity, accuracy, and reliability through data validation, reconciliation, testing, quality assurance, and documentation
Communicate complex analytical findings to executives, business leaders, and non-technical stakeholders
Build partnerships across business, technology, risk, compliance, audit, and other cross-functional teams
Liaise with ERM management regarding reporting of ERM data for governance forums
Promote trusted data standards, process optimization, automation, and data-driven decision-making

Requirements

What you’ll need

Bachelor's degree in Analytics, Business, Data Science, Statistics, Mathematics, Finance, Computer Science, Engineering, or a related quantitative discipline required
Minimum of 7-8 years of management experience in enterprise risk, operational risk management
Must be authorized to work in the US without requiring employer sponsorship currently or in the future
Advanced proficiency in Power BI, including data modeling, DAX, Power Query, dashboard architecture, performance optimization, and executive reporting
Strong hands-on experience with Python, SQL, and PostgreSQL, including data extraction, transformation, automation, analytical modeling, and reporting solutions
Proven expertise designing, developing, and maintaining enterprise-scale dashboards, executive scorecards, KPI frameworks, and business intelligence solutions
Advanced analytical and quantitative skills
Experience translating complex business challenges into scalable analytical and reporting solutions
Ability to analyze business performance and identify trends, risks, and opportunities
Exceptional communication, presentation, stakeholder management, and consultative influencing skills
Ability to operate 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
Experience with advanced analytics, predictive modeling, AI-enabled reporting, machine learning, or intelligent automation
Experience within risk management, enterprise risk, compliance, audit, third-party risk, fintech, financial services, or other highly regulated environments strongly preferred
Familiarity with Mortgage / Securitization market processes a plus
CISA certification preferred
AWS Certified Data Analytics, IBM Data Analyst Professional, or Google Data Analytics Professional certifications nice to have

Benefits

Comp & perks

Performance bonus
401k match
Healthcare coverage
PTO
Competitive total compensation package
Background investigation and potential credit check as part of employment screening