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Senior Credit Risk Analyst
EXLAnalytics professional with 10+ years in Credit Risk Analytics for consumer lending products. Position focuses on data analysis, risk modeling, and business insight generation in banking.
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Understand the core credit cards business and the levers behind various decisions
- Analyze large amounts of data to derive business insights and create innovative solutions/models/strategies
- Clear articulation and structuring of business findings to the leadership and key partners.
- Develop and maintain quantitative models to predict default probabilities and potential losses, incorporating statistical software or machine learning methods
- Track and review credit exposures, identify risk concentrations, and recommend risk mitigation strategies to management
- Prepare detailed risk assessment reports and present findings to credit committees or senior management
- Ensure adherence to banking regulations, internal policies, and risk management frameworks
Requirements
What you’ll need- Minimum 10 years of experience in relevant domain - Data Analysis and building models/strategies.
- Strong knowledge and working experience in SQL and Python is a must.
- Experience in Plaid and Alloy required
- Strong communication and interpersonal skills
- Ability to drive project deliverables to achieve business results.
- Ability to work effectively in a team environment.
Benefits
Comp & perks- For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analysisquantitative modelingdefault probability predictionrisk assessmentstatistical softwaremachine learningSQLPython
Soft Skills
communicationinterpersonal skillsproject managementteam collaboration