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Statistical Modeling Manager

Job in California, Moniteau County, Missouri, 65018, USA
Listing for: Boeing Employees Credit Union
Full Time position
Listed on 2026-01-03
Job specializations:
  • Business
    Risk Manager/Analyst, Data Analyst
Job Description & How to Apply Below
Location: California

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.

While we're proud of our history, we're even more excited about our future. 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. At BECU, compensation decisions are determined using factors such as relevant job-related skills, experience, and education or training. Should an offer for employment be made, we will consider individual qualifications. In addition to your salary, compensation incentives are available for the hired applicant.

Incentives are performance based and targets vary by role.

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 at BECU, you'll be at the forefront of data-driven decision-making that directly supports the financial well-being of our members. 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, smarter, and more resilient credit strategies. You'll influence key business decisions while partnering across teams to ensure that every model you manage translates into actionable insights. Here, your expertise won't just power risk strategies-it will strengthen the financial future of the people and communities we serve.

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 and within a reasonable driving distance to our Tukwila Headquarters (TFC), we encourage you come into the office on Tuesdays & Wednesdays each week. For those candidates that 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-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…
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