Senior Data Scientist - Credit Risk Forecasting & CECL

Navy Federal Credit Union; Pensacola (FL); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

TalentQuest referral program

Job summary

Navy Federal Credit Union is seeking an experienced data scientist to advance CECL and credit risk models for consumer lending portfolios. You will design and deploy predictive analytics, validate models, and translate results into actionable business decisions.

Applicants should have a strong statistical background, proficiency in Python/R/SAS/SQL, and experience with large data sets, governance, and collaboration with cross-functional teams.

Qualifications

• 6+ years of experience in data science, credit risk, or related field.
• Experience with CECL/reserving and model development lifecycle.
• Strong knowledge of statistics, ML, data mining, and visualization.
• Proficient in Python, R, SAS, SQL; familiarity with Hadoop, AWS.
• Excellent communication and collaboration skills.

Responsibilities

• Contribute to end-to-end CECL model development, implementation, and governance for consumer lending portfolios.
• Design, develop, and evaluate large predictive models and advanced algorithms.
• Test hypotheses, analyze results, and develop actionable insights.
• Code complex software programs, algorithms, and automated processes.
• Mentor junior team members and communicate findings to stakeholders.

Skills

CECL modeling

Credit risk

Statistical modeling

Python

R

SQL

Hadoop

AWS

Data visualization

Education

Bachelor's Degree in Data Science/Statistics/Math/CS

Tools

Python

R

SAS

SQL

Hadoop

SPSS

Scala

AWS

Job description

Navy Federal Credit Union is seeking an experienced data scientist to advance CECL and credit risk models for consumer lending portfolios. You will design and deploy predictive analytics, validate models, and translate results into actionable business decisions.

Applicants should have a strong statistical background, proficiency in Python/R/SAS/SQL, and experience with large data sets, governance, and collaboration with cross-functional teams.