Risk Portfolios Manager

BBVA

$100K — $130K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Degree in Economics, Mathematics, Physics, or Statistics; Master’s in Data Science preferred.
  • Minimum 4 years in Risk Management with a focus on credit risk and retail portfolios.
  • In-depth knowledge of credit risk management, including admissions and limit allocations.
  • Strong understanding of credit risk models and their application.
  • Basic programming skills in Python, R, SAS, or SQL are required.
  • Experience in data analysis, ideally with ADA.
  • Proficient in English, knowledge of Italian or German is a plus.

Responsibilities

  • Drive strategic management of retail portfolios balancing risk and growth.
  • Develop and refine credit risk admission policies using champion-challenger frameworks.
  • Integrate advanced analytics to craft impactful pricing strategies.
  • Oversee and enhance risk model data quality for actionable insights.
  • Prepare high-quality data for analysis, driving improvements in risk and business optimization.

Benefits

  • Opportunity to shape risk policies in a growing digital banking landscape.
  • Collaboration with innovative teams in risk models and deployment.
  • Access to advanced analytics tools and methodologies.
  • Dynamic work environment focused on continuous improvement and transformation.
  • Proximity to leadership and engagement with key stakeholders.
Full Job Description

About the job:

The Role

The candidate will be responsible for monitoring the credit risk quality, pricing and profitability of the credit risk portfolios of Digital Banks, as well as contributing to define the new risk policies and changes in these.
The role will work closely with the risk models and the risk deployment teams, and focus on achieving the objectives of the credit Value Streams through the transformation of the risk function, and on the continuous improvement of risk tools, policies, and models.

The Duties
  • Drive the strategic management and profitability of retail portfolios, balancing risk metrics with business growth objectives.

  • Architect and refine credit risk admission policies, utilizing champion-challenger frameworks to ensure adaptability and portfolio excellence.

  • Spearhead the development of pricing strategies by integrating advanced risk analytics to maximize business impact.

  • Oversee risk models and data quality, transforming complex insights into actionable recommendations for key stakeholders.

  • Prepare and refine data to ensure high quality and robustness for analysis, deriving insights that drive improvements in risk quality and business optimization.

The Experience You 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.

  • Data analysis (if possible ADA).

  • Strong analytical mindset, willingness to learn, and motivation to develop expertise in credit risk management and in new markets for BBVA.

  • English required. 

The Preferred Qualifications
  • Knowledge of Italian or German will be valued.

  • Knowledge of German or Italian credit markets is a plus.

  • Experience in the European digital retail banking market is a plus.

Skills:

Analytics, Credit Models, Credit Risks, Data Parsing, Data Processing, Proactive Thinking, Profitability, Team Collaboration, Work Initiative

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