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Santander

Global retail and commercial banking group

Sr Lider – Provisões - Ifrs 9

Quantitative RiskUpdated on Nov 13
Full-timeSão Paulo, State of São Paulo, BrazilNo salary listedIn-person

About the Job

Requirements

  • Extensive experience in financial institutions and regulatory credit risk management.
  • Extensive experience in Risk, Modeling, or Provisions.
  • Experience developing, validating, or monitoring IFRS 9 and Resolution 4.966 models.
  • Experience working with audits, independent validations, regulators, and lines of defense.
  • Extensive experience working with technical teams, squads, or agile structures, and managing and developing people.
  • A track record of managing complex projects and delivering strategic initiatives.
  • Completed undergraduate degree in Statistics, Mathematics, Engineering, Economics, Computer Science, Information Systems, or a related field.
  • Postgraduate qualification, MBA, master's degree, or specialization in Risk, Quantitative Finance, Statistics, Data Science, Machine Learning, or a related area.
  • Knowledge of IFRS 9 and CMN Resolution 4.966.
  • Experience with PD, LGD, EAD, and Expected Credit Loss modeling.
  • Knowledge of Stage Allocation and stress testing.
  • Proficiency in Python, SQL, Spark, and PySpark.
  • Experience with Databricks and Git.
  • Experience with Pandas, NumPy, and Scikit-Learn.
  • Applied statistics for risk modeling, logistic regression, survival analysis, GLM, and GAM.
  • Experience with model backtesting and calibration.
  • Knowledge of machine learning and generative AI applications, including GenAI and LLMs.

Responsibilities

  • Support leadership as the specialist reference for the Provisions team in the TO-BE operating model, ensuring the development, monitoring, maintenance, and evolution of regulatory risk models for PD, LGD, EAD, ECL, and Stage Allocation across relevant bank portfolios.
  • Support leadership in setting the strategy for a high-performing team and work with business, technology, audit, validation, and regulatory functions.
  • Help ensure the technical quality of models and deliverables, providing hands-on methodological, statistical, and computational expertise when needed.
  • Develop and recalibrate PD, LGD, and EAD parameters for regulatory and accounting purposes.
  • Ensure model methodological robustness for internal and external audits, corporate validations, and regulatory bodies.
  • Define and monitor model monitoring indicators.
  • Prioritize the team's technical backlog in alignment with Risk strategy.
  • Represent the area with internal stakeholders, auditors, and regulators.
  • Support the development of AI, Analytics, and Model Risk Management capabilities.
  • Develop team members, supporting technical growth and a high-performance culture.
  • Manage risks, dependencies, and deliverables for the tribe.

Desired Qualifications

  • Certifications in Risk Management, Modeling, Analytics, or Data Science.
  • Agile, Scrum, or Project Management certifications.
  • Certifications related to Artificial Intelligence or Machine Learning.
  • Advanced English for reading and presenting technical models to global forums.
  • Spanish language skills.

About the Company

Santander

Global retail and commercial banking group

Santander is a global bank focusing on retail and commercial banking in Europe and the Americas, serving individuals and SMEs with regional franchises and a broad consumer finance arm, plus a Corporate & Investment Banking division for multinational clients. It uses its Gravity cloud platform to migrate core banking and rapidly deploy digital services such as Openbank across markets, combining fintech-style agility with a bank's balance sheet. The bank differentiates itself by marrying a large retail footprint with global CIB capabilities under the One Santander verticals model to boost efficiency and cross-border revenue. Its goals include improving returns on tangible equity and financing the green economy through sustainable finance and renewable energy projects.

Company size
10,001+
Company stage
IPO
Headquarters
Boadilla del Monte, Spain
Founded
1902

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