Role Description The Senior Mortgage Risk Data Analyst is responsible for independently gathering, validating, analyzing, interpreting, and presenting operational, regulatory, and risk-related data used for senior management reporting, investor reporting, state reporting, and regulatory submissions. This role serves as a subject matter expert for mortgage-related risk data, Mortgage Call Report preparation, and state reporting requirements across all 50 states. The Senior Risk Data Analyst is expected to identify data trends, reporting gaps, operational risks, and process weaknesses, while providing recommendations to strengthen reporting accuracy, operational controls, and compliance outcomes. The Senior Risk Data Analyst will work cross-functionally with Business Partners and senior leadership. - Independently prepare, validate, and analyze risk, operational, and regulatory reporting data for senior management, investors, regulators, and internal business partners. - Serve as a subject matter expert for Mortgage Call Report preparation, validation, and submission, including required knowledge of MCR reporting requirements and the ability to identify, research, and resolve reporting discrepancies. - Prepare, review, and validate RMLA data for Mortgage Call Report submissions across all applicable business lines on a quarterly basis. - Maintain required knowledge of state reporting requirements across all 50 states and support accurate, timely preparation and submission of applicable state reports. - Analyze mortgage loan data to identify trends, operational gaps, reporting inconsistencies, and areas of potential compliance or risk exposure. - Apply current federal and state laws and regulatory requirements governing mortgage lending, including but not limited to TILA, RESPA, TRID, ECOA, GLBA, QM/ATR, and applicable state reporting requirements. - Apply knowledge of investor and governmental agency guidelines, including FNMA, FHLMC, FHA, VA, and RHS, to categorize, analyze, and report operational deficiencies. - Perform detailed data scrubbing, reconciliation, and validation across multiple systems and departments to ensure accuracy and completeness of reporting outputs. - Coordinate with stakeholders across Risk, Compliance, Operations, Servicing, Finance, Audit, Information Technology, and other business areas to gather data, confirm reporting assumptions, and resolve data discrepancies. - Develop and maintain reporting controls, tracking tools, validation checks, and supporting documentation for regulatory and management reporting. - Utilize prescriptive analytics to identify operational weaknesses and recommend process improvements, reporting enhancements, and risk mitigation strategies. - Prepare clear, concise summaries of reporting findings, data trends, and risk observations for leadership review. - Support internal and external audits by providing reporting documentation, data support, research, and explanations related to risk and regulatory reporting. - Identify opportunities to improve reporting processes, reduce manual work, increase data accuracy, and strengthen reporting controls. - Provide guidance and support to less experienced analysts or business partners regarding reporting requirements, data validation, and risk reporting processes. - Manage competing deadlines and shifting priorities, particularly during quarterly reporting cycles, regulatory deadlines, audits, and high-volume reporting periods. - Maintain strict confidentiality of company, employee, borrower, investor, and regulatory information. - Complete other duties and/or projects as assigned. Qualifications - Minimum 7 to 10 years of mortgage industry experience, including experience in origination, servicing, compliance, risk, quality control, regulatory reporting, or related mortgage operations. - Minimum 3 years of experience in a risk, compliance, regulatory reporting, data analytics, audit, or mortgage reporting capacity. - Required experience preparing, reviewing, validating, or supporting Mortgage Call Report reporting. - Required knowledge of MCR reporting requirements and how Mortgage Call Reports are prepared, reviewed, validated, and submitted. - Required knowledge of state regulatory reporting requirements across all 50 states. - Strong understanding of mortgage loan data, mortgage operations, and standard industry processes within a mortgage banking environment. - Strong working knowledge of federal mortgage regulations, including TILA, RESPA, TRID, ECOA, GLBA, QM/ATR, and related compliance requirements. - Strong knowledge of investor and agency guidelines, including FNMA, FHLMC, FHA, VA, and RHS. - Advanced Microsoft Excel experience, including formulas, pivot tables, data validation, reconciliations, and large data set analysis. - Demonstrated ability to analyze complex data, identify discrepancies, research root causes, and communicate findings clearly. - Ability to independently manage reporting deadlines, prioritize competing work, and escalate risks or concerns timely. - High degree of accuracy, attention to detail, and accountability when working with regulatory and executive-level reporting. - Ability to work remotely in a paperless environment while adhering to strict privacy, confidentiality, and data security requirements. Preferred Qualifications - Bachelor’s degree in Business, Finance, Accounting, Data Analytics, Risk Management, Compliance, or a related field preferred. - Prior underwriting, quality control, forensic review, compliance, audit, or regulatory examination experience preferred. - Experience with mortgage-specific loan origination systems, including DataTrac, BytePro, FNMA Loan Quality Connect, or similar systems preferred. - Experience with SharePoint, SQL, XML, Power BI, Tableau, or other data/reporting tools preferred. - Experience preparing reports for senior leadership, regulators, investors, internal audit, or external audit preferred. - Experience developing reporting controls, process documentation, validation tools, or audit support materials preferred. Physical and Environmental Conditions This role operates in an ADA compliant office environment, utilizing typical office equipment and tasks including computer work. The position may involve partial stationary positions and moving throughout the day. Flexibility to work overtime to meet project deadlines is required. Base Compensation Information This is a remote role that can be performed from within the United States. CMG pays a competitive salary which ranges from $90,000 to $110,000. Factors that affect base salary may include: Specific Mortgage Risk experience, overall knowledge of mortgage risk and compliance, number of years worked in mortgage industry, types of roles performed, computer skills, customer service experience specific to working with mortgage lenders, and education.

• Partner with Product Owners and Data Teams across marketing, billing, and product domains. • Create new dashboards, maintain and improve existing reports such as Product Reports. • User behavior analysis, aha moment analysis. • Analyse data to generate actionable insights, find trends, patterns and provide recommendations to maximize KPIs. • Design and conduct A/B tests and homogeneity tests to validate hypotheses and measure impact. • Monitor metrics across all domains. • Design and build robust data models in SQL. • Give and receive actionable feedback to and from peers and the Leadership Team.

Role Description The Advanced Analytics Analyst is an established professional individual contributor within the Corporate Audit Data Analytics team. This role supports the execution of data analytics projects that enhance audit effectiveness, strengthen risk insights, and improve efficiency through the use of data and technology. The Advanced Analytics Analyst partners closely with audit teams and technical stakeholders to design and deliver analytical solutions that support risk‑based audits, SOX activities, and advisory projects. Responsibilities may include the following and other duties may be assigned: - Supports the design and execution of data analytics solutions that enhance risk‑based audits, SOX activities, and advisory engagements. - Develops and executes data queries, data transformations, and analytical models using tools such as SQL, Python, Excel, Power BI, Alteryx, or Power Platform. - Collaborates with audit teams and business partners to understand data requirements and translate business questions into analytical approaches. - Creates dashboards, visualizations, and reporting solutions that clearly communicate insights to both technical and non‑technical stakeholders. - Ensures appropriate documentation is maintained for analytics projects, including objectives, data sources, data models, methodologies, and testing results in accordance with department standards. - Works with large enterprise datasets and evaluates data quality to support reliable analysis and conclusions. - Manages multiple assignments simultaneously in an organized and structured manner while tracking tasks and escalating risks or issues when appropriate. - Builds collaborative relationships across the Global Audit Department and with cross‑functional partners including IT, data teams, and business stakeholders. - Demonstrates a commitment to continuous learning and development in data analytics, audit analytics, and emerging technologies. Qualifications - Bachelor’s degree - 2+ years of experience in Audit (e.g., Big 4 or similar), Internal Audit, Accounting, Finance, or another analytical role. - Experience with data analysis, reporting, or analytics tools such as Excel, Power BI, Alteryx, or similar technologies. Requirements - Bachelor's degree or Master’s degree, preferably in a STEM discipline (Science, Technology, Engineering, Mathematics). - Foundational programming experience using tools or languages such as SQL or Python to support data analysis, automation, or data extraction. - Basic understanding of data mining, data transformation, and data modeling concepts. - Familiarity with enterprise systems such as SAP or other large ERP platforms. - Basic understanding of Software Development Life Cycle (SDLC) methodologies such as Agile or Waterfall. - Familiarity with version control tools (e.g., Git) and collaborative development practices. - Exposure to AI‑assisted analytics or coding tools such as Copilot, ChatGPT, or similar technologies. - Strong problem‑solving skills and the ability to communicate insights clearly across technical and non‑technical audiences. - For Baccalaureate degrees earned outside of the United States, a degree that satisfies the requirements of 8 C.F.R. § 214.2(h)(4)(iii)(A) is required. Benefits - Competitive Salary and flexible Benefits Package - Health, Dental and vision insurance - Health Savings Account - Healthcare Flexible Spending Account - Life insurance - Long-term disability leave - Dependent daycare spending account - Tuition assistance/reimbursement - Incentive plans - 401(k) plan plus employer contribution and match - Short-term disability - Paid time off - Paid holidays - Employee Stock Purchase Plan - Employee Assistance Program - Non-qualified Retirement Plan Supplement (subject to IRS earning minimums) - Capital Accumulation Plan (available to Vice Presidents and above, or subject to IRS earning minimums)

• Build, maintain, and continuously improve Marketing’s Power BI dashboards, including goal tracking, executive scorecards, and pipeline and attribution reporting • Translate stakeholder requirements into scalable data models, metric definitions, and reporting outputs that are clear, accurate, and easy to use • Execute and maintain standardized KPI frameworks, ensuring consistent definitions and calculations across all marketing reporting • Implement and support multi-touch attribution and pipeline reporting, ensuring data is accurately reflected across systems • Validate and reconcile data across platforms (e.g., Salesforce, Marketo, attribution tools, Power BI), identifying and resolving discrepancies • Monitor data flows across systems and troubleshoot inconsistencies in partnership with technical teams • Document data sources, metric logic, and reporting assumptions to support transparency and scalability • Partner cross-functionally to gather requirements, improve data quality, and enhance tracking and measurement capabilities • Support improvements to data structure, campaign tracking, and system integrations to increase reporting reliability • Prepare executive-ready dashboards and reporting outputs to support monthly, quarterly, and annual performance reviews