Senior Credit Risk Modeling Analyst

BECU

Washington

On-site

USD 129,000 - 186,000

Full time

4 days ago
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Benefits offered by this job

401(k) Company Match (up to 3%)
4% annual 401(k) contribution
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 originations, servicing, and risk management. The role involves independent model development and collaboration with stakeholders across the credit union.

The candidate will handle PD, LGD, EAD modeling, capital planning and stress testing, with opportunities to influence strategy and risk management through advanced analytics.

Qualifications

  • Master’s degree in a quantitative discipline required.
  • 3+ years of experience in statistical modeling, including credit risk.
  • Experience developing PD, LGD, and EAD models.
  • Knowledge of AI/ML concepts and related tools.
  • Proficiency in SAS, Python, SQL, or R.
  • Experience with CCAR, DFAST, Basel Capital framework preferred.
  • Strong ability to communicate complex statistical insights to leadership.

Responsibilities

  • Develop, calibrate and validate credit risk models (PD, LGD, EAD) for decisions and forecasting.
  • Collaborate with stakeholders to apply models to business questions and drive actionable insights.
  • Participate in model reviews and performance testing.
  • Own data requests, testing processes, and data quality assessment.

Skills

Statistical modeling
Logistic regression
Multivariate analysis
Time series
Monte Carlo methods
Data interpretation
AI/ML knowledge

Education

Master’s degree in quantitative field

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 originations, servicing, and risk management. The role involves independent model development and collaboration with stakeholders across the credit union.

The candidate will handle PD, LGD, EAD modeling, capital planning and stress testing, with opportunities to influence strategy and risk management through advanced analytics.

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