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AVP, Product & Pricing Strategy
PennyMac
Westlake Village, CA, United States
Job Details - this job has expired, please see similar jobs below
Overview
The employee shall interface with department leadership and occasionally directly with PennyMac’s executive management team to present analytics results. Responsibilities include developing and testing complex pricing strategies as well as performing complex analysis to create solutions for corporate strategic initiatives. May oversee, guide, and manage a small number of subordinates and will operate with a moderate amount of autonomy and decision-making authority.
Job Description
• Develop and test complex pricing strategies as well as perform complex analysis to create solutions for corporate strategic initiatives
• Develop related-party margin concession algorithms and reporting
• Development and automate automation competitive intelligence reporting
• Design and development demand elasticity analysis and profit/ROE optimization models that can be used to make real-time profit/ROE-maximizing margin decisions
• Build and analysis of mortgage pipeline fall-out curves, and develop pricing strategies to account for differences to due borrower or business partner behaviors
• Analyze pipeline behavior including extension/roll/relock activity, time to deliver, file delivery to purchase, and other operational cost metrics. Develop and design of pricing strategies that distinguish different behaviors
• Analyze client behaviors that impact operating costs, and develop pricing strategies that account for the impact of different behaviors.
• Help develop the Margin Management System (MMS), LendingSpace, and pricing distribution infrastructure including Rate Sheet distribution and third-party pricing vendors
• Assist with analyzing the opportunity and risk of new product offerings
• Perform other related duties as required and assigned
• Demonstrate behaviors which are aligned with the organization’s desired culture and values
Ideal Candidate will have the following:
• Strong quantitative, problem solving, and statistics/financial engineering skills
• BS or Masters in Engineering or Computer Science, Math, Physics, Statistics, or Financial Engineering. Masters level work is preferable. MBA or CFA also preferable.
• 4+ years of experience building financial models and applying advances statistics techniques to problems in residential mortgage finance.
• Extensive experience with SQL coding and Excel automation
• Knowledge of a statistical package like SAS, R, or similar is desirable
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