Statistical Modeling Analyst

BECU•Tukwila, WA

1d•Hybrid

About The Position

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). From our very beginning, BECU has been about people helping people. As a financial services cooperative, our purpose has and always will be the same: we work together to best serve our members and improve the financial well-being of our community. With 90 years and over one million members later, we're still rooted in our values, practices and mission - and even more passionate about our future. As one of the nation's leading credit unions, we're not driven by profit. We're owned by our members and their interests are at the core of everything we do. Now we're growing faster than ever before--but we'll never forget our roots. To continue doing right by our members, we believe we must first do right by our people. Here, you'll receive the resources and support you need to learn, grow and build a meaningful career. Because we know it's our people who make us special.

Requirements

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.

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.