VP Portfolio Analytics at BluPeak Credit Union – San Diego, California

VP Portfolio Analytics

US-CA-San Diego

Job ID: 2026-1748
Type: Regular Full-Time
# of Openings: 1
Category: Accounting/Finance
Corporate Office

Overview

The VP Portfolio Analytics leads the design, development, and execution of analytical frameworks that support sound credit risk management across the organization. This role is responsible for building and overseeing quantitative models, portfolio analytics, and reporting that inform underwriting strategy, allowance methodology (e.g., CECL), portfolio performance, and regulatory compliance. The VP Portfolio Analytics partners closely with Credit, Finance, Compliance, and Operations to translate data into actionable insights that drive risk-adjusted growth.

Responsibilities

• Lead the Credit Risk Analytics function, establishing strategy, priorities, and governance for all analytical activities.
• Design, implement, and maintain credit risk models, including PD/LGD/EAD/DCF, scorecards, stress testing, and portfolio segmentation.
• Own portfolio performance monitoring, early warning indicators, vintage analysis, and concentration reporting.
• Provide analytical support for underwriting policy, pricing, and product design decisions.
• Oversee CECL/ACL modeling and documentation in partnership with Finance, ensuring methodological soundness and audit readiness.
• Develop dashboards and executive-level reporting for senior management and the Board.
• Translate complex analytical findings into clear business recommendations.
• Ensure data integrity, model validation, and adherence to regulatory expectations (SR 11-7, model risk management, fair lending).
• Partner with Compliance and Legal to assess and mitigate fair lending and bias risk in models and strategies.
• Build and mentor a high-performing team of analysts and data scientists.
• Support regulatory exams, internal audit, and independent model validations.

Qualifications

Education/Experience

• Bachelor’s degree in Finance, Economics, Statistics, Mathematics, Data Science, or related field is required; Master’s degree or Professional Certification preferred.
• 8–12+ years of experience in credit risk analytics within banking, fintech, or financial services required.
• Deep expertise in credit modeling, portfolio analytics, and consumer or commercial credit products required.
• Strong knowledge of CECL/ACL methodologies and regulatory expectations.
• Proficiency with analytical tools (e.g., SQL, Python/R, SAS) and BI platforms.
• Demonstrated leadership experience managing analytical teams.
• Ability to communicate complex concepts to non-technical stakeholders and executives.
• Experience supporting regulatory examinations and model governance frameworks.

Strategic Competencies/Measures

• Strategic thinking with strong business acumen.
• Quantitative rigor and attention to detail.
• Influential communication and executive presence.
• Collaborative, cross-functional leadership.
• Risk-based decision-making mindset.
• Timely, accurate, and actionable risk insights delivered to leadership.
• Strong model performance and audit/regulatory outcomes.
• Improved portfolio performance and risk-adjusted returns.
• High engagement and development of analytics staff.

PM17