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.

PAY RANGE

The Target Pay Range for this position is $86,674 - $124,300 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

Statistical Modeling Analyst – Credit Unions in the State of Washington Boeing Employees' Credit Union d/b/a Boeing Employees' Credit Union d/b/a/ BECU. (Tukwila, WA).

Responsibilities:

Assist development, re-development and calibration of 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 decisions, loss forecasting, stress testing, CECL reserving, and economic capital use cases. Support documentation and execution of statistical models under the direction of senior level peers and leadership. Support enhancements to existing suite of statistical 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. Gather and evaluate data for reliability and usability and research and apply data treatment methods. Assist in development/understanding of vendor models to ensure accuracy and relevancy. Support enhancement of statistical model production and implementation processes. Support statistical model monitoring and performance testing. Support data requests and systems testing processes, working with more senior level peers as needed. Participate in team meetings related to statistical model development. Maintain thorough knowledge relating to loan portfolio and statistical modeling trends and composition. Assist with analyzing and presenting modeling outputs to stakeholders. Assist in the development of statistical modeling strategies by using data warehouse information and modeling results. Maintain statistical modeling, change control, and validation documentation as needed.

Requires: Master’s degree or foreign equivalent in Statistics, Mathematics, Finance, Economics, or a closely related field. Through completion of relevant coursework, internship, or employment: Knowledge of three or more of the following statistical analytical packages: SAS, Python, SQL and R; Knowledge of artificial intelligence (AI) and machine learning (ML) tools; AND Knowledge of statistical modeling concepts including logistic regression, survival analysis, Markov chain analysis and time series.

Additional Information:

Telecommuting permitted 3 days per week from within the Seattle, WA metropolitan area. Health care, retirement, and PTO benefits.

How to apply:

Email CV to: [email protected]

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.