Remote Senior Statistical Modeling Analyst - Credit Risk

BECU; Northern (KY); Hybrid; USD 129,000 - 158,000; Full time

Benefits offered by this job

401(k) company match

Medical, Dental and 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/deposit origination, collections, and stress testing. You will work independently and with stakeholders to calibrate PD, LGD, and EAD models and deliver actionable insights.

The role requires advanced analytics, data governance, and collaboration with product teams. This position offers a remote-friendly environment with competitive pay and benefits across the United

Qualifications

• Master’s degree or foreign equivalent in a quantitative discipline is required.
• Minimum 3 years of experience in statistical modeling including credit risk modeling.
• Experience developing/validating PD, LGD, and EAD models.

Responsibilities

• Develop, redevelop, and calibrate statistical models (PD/LGD/EAD) for credit risk decisions and forecasting.
• Collaborate with stakeholders to interpret model results and support risk management decisions.
• Manage data requests, testing, and model documentation throughout the development life cycle.
• Prepare regular reporting on model performance and impact on origination, servicing, and loss mitigation.

Skills

Logistic regression

Survival analysis

Time series

Monte Carlo

AI/ML concepts

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/deposit origination, collections, and stress testing. You will work independently and with stakeholders to calibrate PD, LGD, and EAD models and deliver actionable insights.

The role requires advanced analytics, data governance, and collaboration with product teams. This position offers a remote-friendly environment with competitive pay and benefits across the United