Financial Analysis

DESCRIPTION:

Duties: Run the centralized execution of stress testing activities for the Home Lending business, including the forecasting models.

Work with Home Lending Controllers, Finance, and Risk teams to ensure accurate reporting for CCAR submissions to regulatory agencies, and enhance CCAR narratives with up-to-date methodology changes, as well as new section requirements.

Coordinate and prioritize the requests and deadlines within the stress testing calendar, and participate in and help build upon the broader team's people agenda.

Perform deep dive analyses and interpretation of variances.

Create and deliver executive- level presentations that summarize results at various levels of the organization.

Establish and develop business relationships across Home Lending teams, including Portfolio, Production, Servicing, Credit, and Mortgage Servicing Rights groups.

Drive process improvements and creating efficiencies across the home lending planning & analysis organization.

Review work of junior team members.

QUALIFICATIONS:

Minimum education and experience required: Bachelor's degree in Business Administration, Accounting, Finance or related field of study plus 7 years of experience in the job offered or as Financial Analysis, Business Intelligence Analyst, Shared Business Operations & Portfolio Management Specialist, Credit Analyst, or related occupation.

Skills Required: This position requires two (2) years of experience with the following: identifying and documenting financial model gaps or inconsistencies within financial data workflows; collaborating with business, compliance, risk, and IT teams to define UAT testing criteria for financial systems and automation solutions; ensuring Y-14A submission data quality aligns with Federal Reserve's guidance and Dodd-Frank Act Stress Testing (DFAST) regulations including assumptions for baseline, adverse and severely adverse stress scenarios; leading the development and submission of CCAR (Comprehensive Capital Analysis and Review) data pipelines ensuring compliance with appropriate risk controls and regulatory expectations and completing data contributor attestations for the integrity of the results; collaborating with data engineering team to integrate Python-based forecasting software to execute quantitative model runs and create Standard Operating Procedure (SOP) for ETL solutions to ensure consistency and repeatability of forecasting processes and data loaded to EssBase; leveraging advanced statistical models and econometrics to support forecasting efforts; working closely with business units to define forecasting requirements and ensure model predicted outputs align with business expectations; ensuring models are optimized for performance and accuracy through semi-annual back-testing and annual sensitivity analysis; creating dynamic pivot tables to summarize and analyze large data sets along with pivot table calculated fields; collecting and consolidating capital planning and financial p...