HMDA Data Analyst

The Risk Data Analyst is responsible for gathering, optimizing, interpreting and presenting operational data to the Risk Analytics Manager for reporting to senior and executive management, investors and regulators.  Leveraging their depth of mortgage-specific knowledge and statistical analysis, the Risk Data Analyst will prepare and deliver data and analytics that will enhance the quality of loans originated and purchased by CMG and ensure compliance with regulators.

Must be extremely proficient in understanding mortgage loan data and standard industry processes for a full-scale mortgage banking company.  A firm understanding of short and long-term risk related to industry compliance is necessary, including how those risks evolve throughout the life of the loan – from origination through servicing.

The ideal candidate for this position is one who not only meets the requirements of this position, but who is also passionate about identifying disparities using proven mathematical analysis.  You want to find weaknesses in operational processes and brainstorm ways to strengthen those processes, and when your original ideas don’t fit, you’re motivated to come up with new ones.  You want time to play with data independently, but you also enjoy working with others toward a common goal in a sometimes-high stress environment.

Key Focus:

• Standard and ad hoc regulatory reporting

Primary Responsibilities:

• Obtain, prepare, decipher, scrub and deliver data with summary analysis to senior-level management
• Coordinate with stakeholders in Compliance, Servicing, Accounting, Licensing, External Audit and Marketing departments to obtain and analyze current practices, policies and procedures as they relate to fair lending and regulatory reporting
• Apply current federal laws and regulatory requirements governing mortgage to analysis (i.e., Fair Housing, TILA, RESPA, TRID, ECOA, etc.)
• Prepare RMLA data for submission for multiple lines of business ad hoc, monthly and quarterly
• Complete ad hoc Fair Lending Analysis (marketing, pricing, underwriting, fallout, redlining, matched-pairs, regression, etc.)
• Communicate sound recommendations for improvement to operational and marketing processes
• Uphold business continuity principles by documenting processes and tracking projects proactively and consistently in coordination with the team

Other requirements:

• Minimum 7 years’ experience in the mortgage industry (origination, servicing, insurance) with at least 2 of those years in a compliance-related capacity (some underwriting or quality control experience preferred)
• Mortgage-specific loan origination system experience (prefer experience with Byte Pro)
• Minimum 5 years’ experience utilizing Microsoft Excel in a professional setting (solid intermediate-level experience required*)
• Bachelor’s degree preferred but not required (passion for and solid understanding of statistical analysis and communicating clearly and professionally are requirements*)
• SharePoint, Microsoft Teams, XML and SQL experience is preferred
• Experience working with NContracts and/or TruPoint Fair Lending software is preferred
• Familiarity with various social media platforms and modern marketing practices is preferred
• Must be comfortable task-switching and re-prioritizing workload to meet deadlines
• Ability to work remotely in a paperless environment while adhering to strict privacy rules and regulations (necessary equipment will be provided)
• Extraordinary attention to detail

SUPERVISORY RESPONSIBILITIES: Direct Reports: N/A

PHYSICAL and ENVIRONMENTAL CONDITIONS

Standard office environment, equipment and tasks, including work at a computer terminal.

This position requires partial sitting and walking throughout the day. Employee must be open to work overtime to complete assigned tasks.

Base Compensation Information – This is a remote role that can be performed from within the United States.  CMG pays a competitive base which ranges from $70,000 to $95,000. 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.