Enterprise Risk Management Data Analytics Lead

U.S. Financial Technology; United States; Remote; USD 157,000 - 181,000; Full time

Job summary

U.S. Financial Technology seeks an experienced Enterprise Risk Management Data Analytics Lead for a full-time remote role in the United States.

You will design and deliver enterprise-wide dashboards, KPI frameworks, and analytics solutions to monitor risk programs around GSE mortgage-backed securities. You will partner with stakeholders, analyze trends, and drive data-driven decisions while automating reporting processes and advancing AI-enabled analytics in ERM.

Qualifications

• Bachelor's degree in Analytics, Business, Data Science, Statistics, Mathematics, Finance, Computer Science, Engineering, or related quantitative discipline required; advanced degree preferred.
• Certifications preferred: CISA.
• Other nice to have certifications: AWS Certified Data Analytics, IBM Data Analyst Professional, Google Data Analytics Professional.

Responsibilities

• Design, develop, and maintain enterprise risk management dashboards, executive scorecards, KPI frameworks, and analytics solutions using Power BI and other business intelligence platforms.
• Partner with business stakeholders to define metrics, gather requirements, translate needs into scalable reporting and analytics solutions.
• Analyze performance, risk indicators, and trends to identify opportunities, emerging risks, recurring issues, and areas for improvement.
• Deliver insights and recommendations to support strategic decision-making and business performance.
• Automate and optimize recurring reporting processes for efficiency and scalability.
• Support development of advanced analytics capabilities, including AI-enabled reporting and intelligent automation for ERM use cases.
• Ensure data integrity, validation, reconciliation, testing, QA, and documentation standards.

Skills

Power BI

Python

SQL

PostgreSQL

Data Visualization

KPI Dashboards

Stakeholder Management

Risk Management

Automation

Education

Bachelor's degree in Analytics, Finance, CS, Engineering or related quantitative discipline

Tools

Power BI

Python

SQL

PostgreSQL

Job description

OVERVIEW

The Company

U.S. Financial Technology (U.S. FinTech) is seeking an experienced Enterprise Risk Management Data Analytics Lead to join our team of talented professionals. This is a full-time remote opportunity.

U.S. FinTech built and operates the largest and most advanced mortgage securitization platform in the world, supporting the Uniform Mortgage-Backed Security (UMBS) of Fannie Mae and Freddie Mac.

Supporting 70% of the mortgage-backed securities in the market, U.S. FinTech provides best-in-class single-family issuance, bond administration, disclosure, and tax services. We support a broad portfolio of products for our clients with full lifecycle management.

Our market-leading, cloud-based, end-to-end platform executes transactions on an extraordinary scale which has bolstered liquidity in the secondary mortgage market, one of the largest and most important financial markets in the world. Our unique approach to securitization combines the best minds in financial services with the know-how, flexibility, and innovation of leading technologists.

RESPONSIBILITIES

Job InformationThis individual will work as part of the U.S. FinTech's Enterprise Risk Management (ERM) function to provide timely reporting across multiple Risk Programs which evaluate the risk and controls structures surrounding the Issuance and administration of GSE Mortgage-Backed Securities. They will be the ERM team’s primary technical resource for designing, developing, and executing data analytics-related activities for KRI, KI trending, graphing/visual display pan ERM. The role would utilize various technologies for the automation of reporting on Risk & Control Self Assessments, operational events, issues and related validations. Role would liaise with ERM management regarding the reporting of ERM data for governance forums.

Key Job Functions

• 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, 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.

QUALIFICATIONS

Education

• Bachelor's degree in Analytics, Business, Data Science, Statistics, Mathematics, Finance, Computer Science, Engineering, or a related quantitative discipline required; advanced degree preferred.
• Certifications preferred: CISA.
• Other nice to have certifications: AWS Certified Data Analytics, IBM Data Analyst Professional, Google Data Analytics Professional.

Minimum Experience

• 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. U.S. FinTech does not offer H-1B sponsorship for this position.

Specialized Knowledge & Skills

• 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.
• 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.

Pay Range $156,500 to $181,000

U.S. FinTech's pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) a candidate’s qualifications, skills, competencies, and experience, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. U.S. FinTech offers a competitive total compensation package, which includes a performance bonus, 401k match, healthcare coverage, PTO, and a broad range of other benefits.

Employment

As a condition of employment with U.S. Financial Technology, any successful job applicant will be required to successfully complete a background investigation, which may also include a credit check for positions in some areas of our business.

U.S. Financial Technology is an Equal Opportunity Employer.