Senior Credit Risk Analyst: Data-Driven Lending

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

Benefits offered by this job

Healthcare coverage

Generous PTO & holidays

401(k) with company contribution

Annual discretionary bonus

Team & company gatherings

Job summary

Braviant Holdings in Addison, TX is seeking a Senior Credit Risk Analyst to support the full credit risk lifecycle, from underwriting analytics to portfolio monitoring.

You'll write production SQL and Python, build segmentation, and present findings to senior leadership, influencing risk strategies across direct mail and digital lending channels.

This hands-on role requires analytical, detail-oriented, action-biased candidates.

Qualifications

• 3 to 5 years of experience in credit risk or related quantitative roles.
• Strong SQL skills and ability to write complex queries.
• Proficiency in Python for data analysis and modeling.
• Knowledge of credit risk concepts: scorecards, vintage analysis, delinquency curves, loss forecasting.
• Ability to communicate analytical findings to non-technical stakeholders.

Responsibilities

• Track and analyze key portfolio metrics across origination cohorts and risk segments.
• Build dashboards and recurring reporting to surface early warning signals and trends.
• Conduct vintage analysis, loss curve development, and cohort-level performance reviews.
• Support design and evaluation of originations strategies and underwriting policy changes across DM and digital channels.
• Analyze the impact of ongoing A/B tests and pricing experiments, translating results into actionable recommendations.

Skills

SQL

Python

Credit risk

Data analysis

Communication

Job description

Braviant Holdings in Addison, TX is seeking a Senior Credit Risk Analyst to support the full credit risk lifecycle, from underwriting analytics to portfolio monitoring.

You'll write production SQL and Python, build segmentation, and present findings to senior leadership, influencing risk strategies across direct mail and digital lending channels.

This hands-on role requires analytical, detail-oriented, action-biased candidates.