Credit risk analyst with 5 years in consumer lending at a regional bank and a fintech lender. Rebuilt a personal loan scorecard that cut 12-month charge-offs by 0.8 points while holding approval rates. Comfortable with model documentation and validation under SR 11-7 and with CECL reserve work.
Rebuilt the personal loan application scorecard with logistic regression and bureau attributes, cutting 12-month charge-offs by 0.8 points at the same approval rate
Run monthly portfolio monitoring on a $2.1B consumer book, tracking roll rates, vintages and PSI drift in SAS and SQL
Prepare CECL loss forecasts for 4 loan segments and support quarterly reserve reviews with finance
Documented 3 models to SR 11-7 standards with no material findings from model validation
A strong Credit Risk Analyst resume shows the questions you answered, the models or pipelines you shipped, and the decisions your analysis changed. Put your most relevant recent role first and make every bullet show a result, not a duty.
Sections, in order
Summary
Experience
Projects
Skills
Education
Length: One page for most candidates; move to two only if every line is relevant.
Summary: Write two or three lines: your role, your strongest skills, and one result that proves them.
Skills to feature
SQL
Python or R
Statistics
Machine learning
Data modeling
dbt and ELT pipelines
BI tools (Looker, Tableau, Power BI)
Experiment design
Data visualization
Stakeholder communication
Example bullet points
Built a churn model (gradient boosting, AUC 0.86) that targeted retention offers and saved $900k a year
Rebuilt the revenue dashboard on dbt and Looker, cutting refresh time from 6 hours to 20 minutes
Designed 25 A/B tests with sequential analysis, shortening the average test from 4 weeks to 10 days
Tips from recruiters
Pair every technique with the decision it informed; "built a model" alone says little.
List tools under grouped skills ("Analytics: SQL, dbt, Looker") so ATS keyword matches are exact.
Link a notebook, Kaggle profile or public analysis if you have one.
Recommended templates
Classic (ATS-friendly): Jake's-style LaTeX classic: small caps and hairline rules
Modern (ATS-friendly): Clean single column with accent headings and rules
Compact (ATS-friendly): Dense single column that fits long histories
Credit Risk Analyst resume FAQ
What should a Credit Risk Analyst resume include?
A Credit Risk Analyst resume should show the questions you answered, the models or pipelines you shipped, and the decisions your analysis changed. Use these sections in this order: Summary, Experience, Projects, Skills and Education. Put your most relevant recent role first and make every bullet show a result, not a duty.
What is the best resume template for a Credit Risk Analyst?
Classic, Modern and Compact work well for Credit Risk Analyst roles. They are single-column with standard headings, so applicant tracking systems (ATS) parse them reliably.
How long should a Credit Risk Analyst resume be?
One page for most candidates; move to two only if every line is relevant.
Which skills should a Credit Risk Analyst put on a resume?
Prioritize the skills named in the job posting. Common ones for Credit Risk Analyst roles are SQL, Python or R, Statistics, Machine learning, Data modeling and dbt and ELT pipelines.
How do I write strong Credit Risk Analyst resume bullet points?
Start with an action verb, say what you did, and end with a measurable result such as forecast accuracy, revenue impact and query time. For example: "Built a churn model (gradient boosting, AUC 0.86) that targeted retention offers and saved $900k a year."