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Quantitative Analyst Resume

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Dallas, TX

OBJECTIVE

  • An accomplished, results driven professional with over 20 years of progressive experience in financial analysis, risk management and mortgage analytics. Possesses exceptional analytical, interpersonal communication, verbal and written presentation skills. I look forward to utilizing my acquired expertise, creative insights and commitment to excellence to help organizations achieve objectives.

PROFESSIONAL EXPERIENCE

Confidential, Dallas, TX

Quantitative Analyst

Responsibilities:

  • Provided analytical support to drive policy, strategy & effective servicer management.
  • Conferred with product managers and business unit management to determine analytical needs regarding new product development.
  • Participated with finance and modeling staff in exercises to forecast volumes and to value new products.
  • Delivered analysis and reporting for monthly executive meetings to review servicer performance.
  • Performed ongoing ad hoc analyses for specific clients needing high level quantitative analysis of credit risk, products and asset analysis.
  • Quarterly business planning for Mega lenders.
  • Supported loss mitigation efforts by providing quarterly delinquency and workout performance expectations for 10 servicers.
  • Partnered with Default Management, Servicing Management and Modeling & Analytics to identify opportunities for servicer delinquency reduction.
  • Recommended model enhancements and assisted with implementation of at least 1 new idea each quarter.
  • Developed a framework to drive delinquency reduction using ‘stretch’ goals.
  • Managed a team of 3 analysts offering coaching, guidance and development.
  • Designed and implemented process improvements. Participated in UAT and provided analytical support during development.

Confidential, Plano, TX

Foreclosure Servicing Strategic Decision Support

Responsibilities:

  • Strategic analysis in support of foreclosure servicing.
  • Quickly developed in - depth understanding of department core operating models.
  • Prepared monthly short term foreclosure sale gap analysis with recommendations for meeting target sales.
  • Prepared sensitivity analysis showing variation of predicted sales with key performance metrics.
  • Prepared variance analysis to explain drivers of actual performance.
  • Summarized and presented strategies to leaders and business partners.
  • Structured rigorous analytical approaches to quantify performance drivers, trends, gaps and opportunities.
  • Performed operational benchmarking to predict foreclosure milestone run rates.
  • Use advanced analytical techniques to determine expected distribution of sales given average milestone run rates.
  • Leveraged LPS data tables to understand foreclosure delays.
  • Benchmarked servicing performance with competitors using McDash Online data.
  • Streamlined model input processes by developing templates, developing and maintaining procedures for all model parameters.
  • Executed monthly data loads for foreclosure loan portfolio.

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