Statistical Modeling Manager
Remote, WA, United States
Full Time Mid-level / Intermediate USD 107K - 199K
BECU
BECU is a member-owned, not-for-profit credit union committed to improving the financial well-being of our members and communities.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 âpeople helping peopleâ 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 weâre proud of our history, weâre even more excited about our future. With business and technology transformation on the horizon, thereâs never been a better time to be part of BECU.
PAY RANGE
The Target Pay Range for this position is $138,300.00-$169,000.00 annually. The full Pay Range is $107,400.00 - $199,900.00 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
Employees and their eligible family members have access to a wide array of employee benefits, such as medical, dental, vision and life insurance coverage. Employees have access to disability and AD&D insurance. We also offer health care and dependent care flexible spending accounts, as well as health savings accounts, to eligible employees. Employees are able to enroll in our companyâs 401k plan and employer-funded retirement plan. Newly hired employees accrue 6.16 hours of paid time off (PTO) on a per pay period basis based on hours worked (up to a maximum of 160 PTO hours per year) and receive ten paid holidays throughout the calendar year. Additional details regarding BECU Benefits can be found here.
IMPACT YOUâLL MAKE:
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As a Statistical Modeling Manager at BECU, youâll be at the forefront of data-driven decision-making that directly supports the financial well-being of our members. Youâll lead the development and oversight of advanced credit risk models that shape how we approach lending, 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. Youâll influence key business decisions while partnering across teams to ensure that every model you manage translates into actionable insights. Here, your expertise wonât just power risk strategiesâit 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, ID, AZ, TX, SC or GA. If youâre 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 YOUâLL DO:
Lead Model Development: Design, develop, and recalibrate statistical credit risk modelsâranging from credit decision scorecards to Basel IRB models like PD, LGD, and EADâusing leading statistical software and programming tools.
Champion Data Integrity: Gather, validate, and refine large datasets to ensure models are built on reliable, usable dataâand 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 forecastingâapplying 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 BECUâs mission and modeling excellence.
This isnât just about ticking off tasks on a list. It's about making a significant, positive change in BECUâs journey, where your contributions are valued, and your growth is continually fostered.
WHAT YOUâLL GAIN:
A leadership role where your work directly supports responsible lending and community-focused financial wellness
The opportunity to shape enterprise-wide strategies using sophisticated credit risk models
High visibility with senior leaders and impact across departments
Flexibility, autonomy, and the support you need to thrive in your role
QUALIFICATIONS:
Minimum Qualifications:
Masterâs degree, PhD, or foreign equivalent in a quantitative discipline such as statistics, math, finance, or economics.Â
Coursework in statistics at either the bachelorâs, masterâs or PhD level.
Minimum 7 years of functional experience in credit risk modeling or similarly quantitative field.
Desired Qualifications:
Credit Risk modeling experience in real estate secured loan products (i.e., mortgage, home equity), auto, credit card and/or commercial loan products.
Advanced experience with statistical modeling to include Credit Loss Forecasting and Credit Decisioning models.
Proficient with modelling techniques including logistic regression, multivariate analysis, and Monte Carlo.
Excellent analytical and problem-solving skills.
Proficient working with statistical analytical packages such as SAS, SPSS, Python, Stata and/or R, and SQL.
Demonstrated ability to work independently and as a team member while using discretion in decision making and sound judgment in problem solving.
Demonstrated ability to interact with management officials at all levels, as well as other risk and model management personnel.
JOIN THE JOURNEY:
Ready to make an indelible impact? Eager to be a part of a collaborative and innovative team where your ideas and contributions donât just fill a role, but fuel the growth and success of BECU? This is more than a job â itâs 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 letâs achieve excellence together at BECU. Your journey of influence, innovation, and impactful contribution starts now.
#BECU #YourGrowth #BECUJourney
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.
Tags: Credit risk Economics Finance Mathematics ML models Monte Carlo PhD Python R SAS SPSS SQL Stata Statistical modeling Statistics Testing
Perks/benefits: 401(k) matching Career development Equity / stock options Flex hours Flexible spending account Flex vacation Health care Insurance Startup environment Transparency Wellness
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