Senior Credit Risk Analyst: Data-Driven SQL/Python

Braviantholdings; Dallas (TX); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Comprehensive healthcare

Generous PTO & holidays

401(k) with company contribution

Annual discretionary bonus

Team and company gatherings

Job summary

Braviant Holdings in Addison, TX is seeking a Senior Credit Risk Analyst to support the full credit risk lifecycle—from originations analytics to portfolio monitoring and loss forecasting. You’ll write production SQL/Python, build segmentation strategies, and present findings to senior leadership.

This hands-on role requires strong analytical skills, attention to detail, and a bias toward action, with collaboration across DM and digital lending channels.

Qualifications

• 3 to 5 years of experience in credit risk or related analytics.
• Strong SQL skills and ability to write complex queries.
• Experience with Python for data analysis and modeling.
• Understanding of scorecards, vintage analysis and loss forecasting.
• Ability to present findings clearly to non-technical stakeholders.

Responsibilities

• Track and analyze key portfolio metrics including FPD, GNS, delinquency roll rates, and D2M performance across origination cohorts and risk segments.
• Build and maintain dashboards and recurring reporting that surface early warning signals and portfolio trends.
• Conduct vintage analysis, loss curve development, and cohort-level performance reviews for monthly/quarterly reviews.
• Support design and evaluation of originations strategies, score cutoffs, and underwriting policy changes.
• Analyze performance impact of A/B tests and pricing experiments, translating results into recommendations.

Skills

SQL

Python

Credit risk concepts

Communication skills

Job description

Braviant Holdings in Addison, TX is seeking a Senior Credit Risk Analyst to support the full credit risk lifecycle—from originations analytics to portfolio monitoring and loss forecasting. You’ll write production SQL/Python, build segmentation strategies, and present findings to senior leadership.

This hands-on role requires strong analytical skills, attention to detail, and a bias toward action, with collaboration across DM and digital lending channels.