BECU · 3 hours ago
Statistical Modeling Manager
BECU is a financial institution focused on people, not profits, serving over 1.5 million members. The Statistical Modeling Manager will lead the development of advanced credit risk models, influencing business decisions and enhancing credit strategies to support the financial well-being of members.
Banking
Responsibilities
Lead Model Development: Design, develop, and recalibrate statistical credit risk models—ranging from credit decision scorecards to Basel IRB models like 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—and apply 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 identify enhancements and improve model accuracy using cutting-edge statistical methods
Drive Business Alignment: Partner with business and product teams to explain model outcomes, guide risk-reward strategies, and ensure alignment between statistical insights and 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 Model Governance: Develop and maintain risk modeling procedures and documentation to support consistency, auditability, and stakeholder transparency
Translate Insights: Present model results and recommendations clearly to both technical and non-technical stakeholders, supporting enterprise-wide understanding and action
Stay Ahead of the Curve: Maintain up-to-date knowledge of 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 regulatory and business needs
Contribute Beyond the Role: Take on additional responsibilities and special projects that support BECU’s mission and modeling excellence
Qualification
Required
Master's degree or foreign equivalent in a quantitative discipline such as statistics, math, finance, or economics
Minimum 7 years of functional experience in credit risk modeling
Preferred
Sound knowledge of statistical modeling concepts including logistic regression, survival analysis, Markov chain analysis and time series
Knowledge of artificial intelligence (AI) and machine learning (ML) tools
Knowledge of three or more of the following statistical analytical packages: SAS, Python, SQL and R
Experience in verbal and written communication of complex statistical insights
Experience with loss forecasting, default management and credit risk modeling, reporting and analytics
Experience with Basel Regulatory framework, Comprehensive Capital Analysis Review (CCAR), Dodd-Frank Act Stress Testing (DFAST)
Credit Risk modeling experience in real estate secured loan products (i.e., mortgage, home equity), auto, credit card, Consumer and/or commercial loan products
Benefits
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
Company
BECU
As a member-owned, not-for-profit financial cooperative, BECU is guided by the credit union philosophy of “people helping people.” In fact, putting people over profit guides our everyday business decisions.
H1B Sponsorship
BECU has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (5)
2024 (3)
2023 (1)
2022 (1)
Funding
Current Stage
Late StageRecent News
Business Journals
2024-04-09
Puget Sound Business Journal
2023-12-13
Puget Sound Business Journal
2023-11-28
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