[Remote] Enterprise Risk Management Data Analytics Lead

Note: The job is a remote job and is open to candidates in USA. U.S. Financial Technology is seeking an Enterprise Risk Management Data Analytics Lead to support its Enterprise Risk Management function. The role leads analytics and reporting across risk programs, developing dashboards, automating reporting, and providing insights for risk governance and decision-making. Responsibilities • Design, develop, and maintain enterprise risk management dashboards, executive scorecards, KPI frameworks, and analytics solutions using Power BI and other business intelligence of 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 meaningful insights and recommendations that support strategic decision-making, operational effectiveness, and business performance objectives • Automate, optimize, and enhance recurring reporting processes to improve efficiency, scalability, accuracy, timeliness, and user adoption • Support the development and adoption of advanced analytics capabilities, including AI-enabled reporting, predictive insights, and intelligent automation for ERM AI use cases • Ensure the integrity, accuracy, and reliability of reporting through data validation, reconciliation, testing, quality assurance, and documentation standards • Communicate complex analytical findings clearly and effectively to executives, business leaders, and non-technical stakeholders • Build strong partnerships across business, technology, risk, compliance, audit, and other cross-functional teams to drive reporting maturity and continuous improvement • Advance reporting and analytics capabilities by promoting trusted data standards, process optimization, automation, and data-driven decision-making Skills • Bachelor's degree in Analytics, Business, Data Science, Statistics, Mathematics, Finance, Computer Science, Engineering, or a related quantitative discipline • Minimum of 7-8 years of management experience in enterprise risk, operational risk management • Applicants must be authorized to work in the US without requiring employer sponsorship currently or in the future • Proven expertise designing, developing, and maintaining enterprise-scale dashboards, executive scorecards, KPI frameworks, and business intelligence solutions • Advanced analytical and quantitative skills with the ability to transform complex datasets into actionable business insights and recommendations • 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 • Demonstrated success partnering with senior stakeholders to translate complex business challenges into scalable analytical and reporting solutions • Proven ability to analyze business performance, identify trends, risks, and opportunities, and influence strategic and operational decision-making through data-driven recommendations • Exceptional communication, presentation, stakeholder management, and consultative influencing skills across all organizational levels • Proven ability to operate independently in a highly visible individual contributor role while leading initiatives and influencing outcomes across teams • Track record of delivering measurable business value through reporting innovation, process optimization, automation, and analytics-driven improvements • Extensive experience ensuring data integrity, governance, and reporting accuracy through validation, reconciliation, testing, quality assurance, and documentation practices • Experience leveraging advanced analytics, predictive modeling, AI-enabled reporting, machine learning, or intelligent automation capabilities • Advanced degree • CISA • AWS Certified Data Analytics, IBM Data Analyst Professional, Google Data Analytics Professional • Experience within risk management, enterprise risk, compliance, audit, third-party risk, fintech, financial services, or other highly regulated environments • Familiarity with Mortgage / Securitization market processes Benefits • Remote opportunity • Performance bonus • 401k match • Healthcare coverage • PTO Company Overview • U.S. Financial Technology is a newly launched fintech company replacing Common Securitization Solutions for mortgage securities technology. It was founded in 2014, and is headquartered in Bethesda, Maryland, USA, with a workforce of 201-500 employees. Its website is https://www.usfintech.com.