Enterprise Risk Management Lead

Job not on LinkedIn

🔥 5 minutes ago

🇺🇸 United States – Remote

💵 $156.5k - $181k / year

⏰ Full Time

🟠 Senior

🔒 Insurance

👻 Ghost score 0%

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U.S. Financial Technology

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

💳 Fintech

☁️ SaaS

🤝 B2B

Fintech • SaaS • B2B

U. S. Financial Technology is the largest and most technologically advanced mortgage securitization platform in the U. S. , operating the Common Securitization Platform for Fannie Mae and Freddie Mac. It manages issuance and administration of Single-Family Mortgage-Backed Securities (SF MBS / UMBS), centrally houses loan- and pool-level data in a 100% cloud-based platform, and provides near real-time reporting, analytics, and operational services to support lenders, GSEs, and investors. The company emphasizes data management, risk and cybersecurity, and enabling liquidity in the primary mortgage market to facilitate home purchases and refinances.

📋 Description

• 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

• 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

• 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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