Overview

Summary of Responsibilities:

  • The Senior Operations Strategy Analyst will be responsible for the development, planning and implementation of strategies designed to improve the effectiveness and efficiency of portfolio servicing, while managing reputational risk. Responsibilities extend to modeling, forecasting and predictive analytics. This position requires the ability to retrieve data, identify correlations, make inferences and offer recommendations to executive levels of management.

Essential Functions:

Specializes in the following areas of focus:

  • Uses predictive statistical techniques to analyze trends and identify risks/opportunities relative to portfolio servicing
  • Manages portfolio segmentation utilizing account demographics and existing scoring models
  • Performs and analyzes scenario testing to identify optimal account penetration rates, while managing reputational risk
  • Develops staffing models that forecast future hiring requirements
  • Measures effectiveness of various contact channels within portfolio servicing
  • Analyzes performance of loan modification and customer assistance programs
  • Develops decision logic for the timing and assignment of units to collateral recovery vendors
  • Identifies strategies that increase proceeds from asset remarketing sales
  • Analyzes profitability of deficiency settlement programs and deficiency loan bulk sales
  • Evaluates in-house servicing platform and offer recommendations for enhancement
  • Presents strategies and recommendations to management in a clear, concise and actionable format

Other Functions:

  • Special projects as requested
  • Other duties as assigned

Requirements:

  • Education: Bachelor’s degree required; Graduate degree preferred in Finance, Statistics, Economics, Operations Research or related quantitative discipline Industry Experiencing Industry Experience
  • Seven (7) years of work experience in a similar analytical role
  • Knowledge and experience in modeling techniques
  • Experience using predictive analytics in related industry
  • Prior experience in auto finance preferred but not required
  • Statistical Expertise Familiarity with logistic regression models, hypothesis testing, non-parametric testing, design of experiments and linear regression. Programming Skills
  • Proficient with SQL and SAS
  • Data extraction from different data sources. Ability to merge, concatenate, import/export datasets and check for data consistency and accuracy Presentation Skills
  • Use Excel to perform data analysis tasks and visually display quantitative information
  • Use Power Point and Word for explaining and displaying results related to various analyses
  • Ability to Maintain Confidentiality

Working Conditions:

  • Extended working hours may be required as dictated by management and business needs
  • Travel to multiple facilities may be required
  • May be required to lift, push, or pull materials weighing up to twenty (20) pounds
  • May be required to sit and review information on a computer screen for long periods of time
  • May require repetitive motions of the hands and wrist related to writing and typing at an electronic keyboard
  • Corporate / satellite office role

Employer’s Rights:

This job description does not list all the duties of the job. You may be asked by your supervisors or managers to perform other duties. You will be evaluated in part based upon your performance of the tasks listed in this job description.