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Statistical Modeling Manager

Job in California, Moniteau County, Missouri, 65018, USA
Listing for: BECU
Full Time position
Listed on 2026-01-05
Job specializations:
  • Finance & Banking
    Risk Manager/Analyst
Salary/Wage Range or Industry Benchmark: 107400 - 199900 USD Yearly USD 107400.00 199900.00 YEAR
Job Description & How to Apply Below
Location: California

Statistical Modeling Manager

Join our purpose‑driven organization at BECU, where your work directly supports the financial well‑being of our members and communities.

Pay Range
  • Target Pay Range: $138,300–$169,000 annually
  • Full Pay Range: $107,400–$199,900 annually
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, you will lead the development and oversight of advanced credit risk models that shape our economic capital, loan loss forecasting, account management, collections, capital planning, and stress testing. Your expertise will translate complex data into actionable insights that strengthen the financial future of the people and communities we serve.

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 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.
Qualifications

Minimum Qualifications
  • 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.
Desired Qualifications
  • 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.
JOIN THE JOURNEY

Ready to make an indelible impact? Eager to be part of a collaborative and innovative team where your ideas and contributions don’t just fill a role, but fuel the growth and success of BECU? This is more than a job – it’s a chance to elevate your career, skills, and future, all while contributing to the robust technological landscape of BECU.

Embrace the opportunity to grow with us. Apply now, bring your expertise to the table, and let’s achieve excellence together r journey of influence, innovation, and impactful contribution starts now.

EEO Statement

BECU is an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, veteran status, disability, sexual orientation, gender identity, or any other protected status.

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