Senior Credit Risk Modeling Lead

BECU

Idaho

On-site

USD 100,000 - 186,000

Full time

14 days+
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Benefits offered by this job

401(k) Company Match
4% 401(k) annual contribution by BECU
Medical, Dental and Vision

Job summary

BECU is seeking a Sr Statistical Modeling Analyst to lead development and management of credit risk models used for loan origination, servicing, and capital planning. The role collaborates with stakeholders to ensure robust model performance and regulatory alignment.

The candidate will calibrate models, validate performance, and produce reports showing impacts across originations, collections, and asset strategies. Advanced analytics and data-driven decision support are central to this role.

Qualifications

  • Master’s degree in a quantitative field is required.
  • Minimum 3 years of statistical modeling experience including credit risk.
  • Knowledge of PD, LGD, EAD modeling and survival/time series methods.
  • Experience with AI/ML tools and data analysis.
  • Strong communication and ability to summarize complex insights.

Responsibilities

  • Develop, calibrate, and validate statistical models for credit risk.
  • Research enhancements to improve PD/LGD/EAD models.
  • Communicate model results to stakeholders and support risk decisions.
  • Participate in model reviews, testing, and documentation.
  • Manage data requests and data quality considerations.
  • Prepare reports on originations, collections, and capital planning.

Skills

Analytical thinking
Communication skills
Team collaboration
Verbal and written communication

Education

Master’s degree in statistics, math, finance, or economics
Statistics coursework at bachelor/master/PhD level

Tools

SAS
Python
SQL
R

Job description

BECU is seeking a Sr Statistical Modeling Analyst to lead development and management of credit risk models used for loan origination, servicing, and capital planning. The role collaborates with stakeholders to ensure robust model performance and regulatory alignment.

The candidate will calibrate models, validate performance, and produce reports showing impacts across originations, collections, and asset strategies. Advanced analytics and data-driven decision support are central to this role.

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