Senior Credit Risk Modeling Lead (Stats & ML)

BECU; Oregon (WI); On-site; USD 129,000 - 186,000; Full time

Benefits offered by this job

401(k) Match

Medical/Dental/Vision

PTO + Exchange Program

Tuition Reimbursement

Volunteer time off + donation match

Job summary

BECU is seeking a Sr Statistical Modeling Analyst to develop and manage statistically derived credit risk models used for loan origination, servicing, and capital planning. You will own model development lifecycle and work with stakeholders across the credit union.

The role requires advanced statistical skills, experience with PD/LGD/EAD models, and proficiency in SAS, Python or R, SQL. Collaboration and reporting to leadership are essential.

Qualifications

• Master’s degree or foreign equivalent in a quantitative discipline such as statistics, math, finance, or economics.
• Coursework in statistics at bachelor’s, master’s or PhD level.

Responsibilities

• Develop, re-develop, and calibrate statistical models (PD, LGD, EAD) for credit decisions and risk forecasting.
• Support model documentation and validation under senior leadership guidance.
• Collaborate with partners to interpret model results and inform risk strategies.
• Participate in annual model reviews and performance testing.
• Prepare regular reports on modeling results and their business impact.

Skills

Statistical modeling

Credit risk

Python/SQL/R

Logistic regression

Time series

Education

Master’s degree in statistics, math, finance, or economics

Tools

SAS

Python

SQL

R

Job description

BECU is seeking a Sr Statistical Modeling Analyst to develop and manage statistically derived credit risk models used for loan origination, servicing, and capital planning. You will own model development lifecycle and work with stakeholders across the credit union.

The role requires advanced statistical skills, experience with PD/LGD/EAD models, and proficiency in SAS, Python or R, SQL. Collaboration and reporting to leadership are essential.