Statistical Modeling Manager - Credit Risk

Statistical Modeling Manager - Credit Risk

Join to apply for the Statistical Modeling Manager - Credit Risk role at BECU
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Is it surprising to hear that a financial institution of 1.5 million members and over $30 billion in managed assets say that success comes from focusing on people, not profits? Our “people helping people” philosophy has guided us since 1935, driving our deep commitment to serving our members, communities, and each other. When you join our team, you become part of a purpose‑driven organization where your work makes a real difference.

With business and technology transformation on the horizon, there’s never been a better time to be part of BECU.

Pay Range

The Target Pay Range for this position is $–$ annually. The full Pay Range is $–$ annually. Compensation decisions are based on job‑related skills, experience, and education or training.

Benefits – Because People Helping People Starts with Supporting You

• 401(k) Company Match (up to 3%)
• 4% annual contribution to your 401(k) by BECU
• Medical, Dental and Vision (family contributions as well)
• PTO Program + Exchange Program
• Tuition Reimbursement Program
• BECU Cares volunteer time off + donation match

Impact You'll Make

As a Statistical Modeling Manager - Credit Risk at BECU, you’ll lead the development and oversight of advanced credit risk models that shape how we approach Economic Capital, loan loss forecasting, account management, collections, capital planning, and stress testing. Your deep understanding of statistical theory and hands‑on experience with large datasets will help BECU build stronger будет smarter & resilient credit strategies.

You’ll influence key business decisions while partnering across teams to translate each model into actionable insights.

.Enable to join our dynamic team in this role, we require candidates to be residents of WA, OR, , CA, AZ, TX, GA, SC, NC, and VA. If you’re located in Washington state within a reasonable driving distance to our Tukwila Headquarters (TFC), we encourage you to come into the office on Tuesdays & Wednesdays each week.

For those candidates who live outside the commutable distance to TFC and in any of our approved remote work locations, this role will be primarily remote. Remote or onsite, we are committed to ensuring you are fully engaged and included in our collaborative environment. What You’ll Do

• Lead Model Development:
  Design, develop, and recalibrate statistical credit risk models—from credit decision scorecards to Basel IRB models such as PD, LGD, and EAD—using leading statistical software and programming tools.
• Champion Data Integrity:
  Gather, validate, and refine large datasets to ensure models are built on reliable, usable data, applying advanced treatment techniques where needed.
• Implement with Precision:
  Manage systems testing and data readiness to support accurate and efficient model implementation.
• Evaluate and Enhance Models:
  Conduct ongoing performance assessments and annual reviews to find enhancements and improve model accuracy using cutting‑edge methods.
• Drive Business Alignment:
  Partner with business and product teams to explain model outcomes, guide risk‑reward strategies, and align statistical insights with business objectives.
• Maximize Analytic Impact:
  Provide advanced analytics in support of credit risk strategy—including capital planning, portfolio mix management, and loss forecasting—applying tools like SAS, SQL, and other statistical platforms.
• Standardize kjøpe Governance:
  Develop and maintain risk‑modeling procedures and documentation for consistency, auditability, and stakeholder transparency.
• Translate Insights:
  Present model results and recommendations clearly to both technical and non‑technical stakeholders.
• Stay Ahead of the Curve:
  Keep up‑to‑date with credit portfolios, regulatory requirements, and industry trends to drive continuous improvement in modeling practices.
• Deliver Cross‑Functional Support:
  Respond to data requests, manage testing environments, and ensure model outputs are leveraged effectively across teams.
• Ensure Thorough Documentation:
  Maintain detailed records, including model development logs, version controls, and validation documentation for…