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Risk Portfolios Manager
BBVARisk Portfolios Manager overseeing credit risk portfolios for Digital Banks focusing on quality, pricing, and profitability. Collaborating with global teams for risk policies and improvements in financial services.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Credit Risk Management, including the development and refinement of risk policies, pricing strategies, and risk models. Proficient in Data Science methodologies and programming languages such as Python, R, or SQL to ensure robust data analysis and decision-making.
Highest-signal resume keywords
Credit Risk ManagementData Science KnowledgeRisk Model DevelopmentProgramming in PythonAnalytical Mindset
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Credit Risk ManagementRisk Model DevelopmentData AnalysisPricing Strategy DevelopmentCredit ScoringLimit AllocationIncome EstimatorsProgramming in PythonProgramming in RSQL
Soft Skills
Analytical MindsetWillingness to LearnMotivation to Develop Expertise
Tools & Technologies
PysparkPandasScikit-learnKerasSAS
Industry Keywords
Credit Risk PortfoliosRetail PortfoliosRisk PoliciesData QualityProfitability
Tech Stack
Tools & technologiesKerasPandasPySparkPythonScikit-LearnSQL
About the role
Key responsibilities & impact- Monitor the credit risk quality, pricing and profitability of the credit risk portfolios of Digital Banks
- Contribute to define the new risk policies and changes in these
- Drive the strategic management and profitability of retail portfolios
- Architect and refine credit risk admission policies
- Spearhead the development of pricing strategies
- Oversee risk models and data quality
- Prepare and refine data to ensure high quality and robustness for analysis
Requirements
What you’ll need- Degree in Economics, Mathematics, Physics, Statistics
- Master’s level knowledge of Data Science is required
- At least 4 years experience in Risk Management, with focus on credit risk and retail portfolios
- Knowledge of Credit risk management in terms of admission, recoveries, credit scoring, income estimators, limit allocation
- Deep understanding of credit risk models
- Basic programming knowledge in at least one of the following: Python (pyspark, pandas, scikit-learn, keras…), R, SAS, or SQL
- Strong analytical mindset, willingness to learn, and motivation to develop expertise in credit risk management and in new markets for BBVA
- English required.
Benefits
Comp & perks- Work-life balance
- Professional development opportunities