Sr Statistical Modeling Analyst

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. You bring more than your expertise to your role, and that matters here. Your story, perspectives, and lived experiences help shape belonging at BECU and deepen how we connect with and support our employees, our members, and our communities.

The Target Pay Range for this position is $-$ annually. The full Pay Range is $99,900.00 - $ 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.

• 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

The Sr Statistical Modeling Analyst is responsible for the development and management of statistically derived credit risk modeling used by the credit union for loan or deposit originations, account management, collections, loan loss forecasting, capital plans and stress testing. The Sr Statistical Modeling Analyst will manage statistical model development and implementation independently and through collaboration with stakeholders throughout the credit union.

• Develop, re-develop, and calibrate statistical models using statistical analytical packages; including but not limited to:
  Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) models for credit decision scorecard, loss forecasting, reserving, and economic capital use cases.
• Support documentation and execution of statistical models under the direction of senior level peers and leadership.
• Research and apply enhancements to existing suite of models to improve accuracy, partnering with senior level peers and leadership.
• Research statistical methods and apply enhancements to existing suite of models to improve accuracy.
• Scope includes Probability of Default (PD), Loss Given Default (LGD), Exposure at Default (EAD), and loan loss forecast models.
• Collaborate with business partners and product management to help interpret model results and assess the appropriateness of statistical methods and models for addressing business questions and generating actionable insights.
• Provide value-added solutions for the enhancement of risk-return trade-off through the application of advanced analytical packages.
• Participate in annual model reviews and performance testing.
• Manage the data request and systems testing process.
• Gather and evaluate data for reliability and usability and research and apply data treatment methods.
• Work with senior members of the team on all aspects of the advanced credit risk models development life cycle.
• Participate in team meetings related to statistical model development.
• Deliver regular reports of modeling results to include impacts of originations, servicing, collection, loss mitigation and asset liquidation strategies and performance.
• Maintain a thorough knowledge relating to loan portfolio trends and composition, while analyzing and presenting model outputs.
• Utilize data warehouse information, along with model results, to assist in the development of credit risk management credit risk strategies.
• Identify opportunities for efficiency and effectiveness,…