Cash Supervisor

RESPONSIBILITIES: * Record incidents, evidence, and irregularities identified during monitoring, ensuring traceability of information; * Prepare dail
- Monitor cash operations
- Prepare daily reports
- Support cashiers and managers

Job Summary: Santander is seeking a senior risk specialist to develop BI and risk/regulatory reporting solutions for credit risk, with emphasis on data quality and insight generation. Key Highlights: 1. Work with Databricks/Spark and BI tools for risk management 2. Development of risk dashboards and periodic risk reports 3. Focus on data governance and data quality, ensuring traceability Spec III \- Risk Country: Brazil ### **If you are eager to grow and learn continuously, and passionate about impacting people through your analyses, this could be your place — and controlling all risks to which the bank is exposed.** ### **Risk Management works hand-in-hand with the business, providing technical inputs for optimal decision-making in credit operations across all customers.** ### **At Santander, we embrace a horizontal culture organized into four clusters: Specialist, Leader, Head, and Partner.** ### **We have an opening for you to become a** **Risk Specialist** **, where you will be hired as a Specialist — the primary subject-matter expert in your domain.** ### **We seek a senior specialist to develop and operate Business Intelligence and risk/regulatory reporting solutions for credit risk, focusing on data quality, data governance, dashboard development, and insight generation. You will work with Databricks/Spark and BI tools, ensuring risk metrics are consistent, traceable, and ready for executive and/or corporate/regulatory consumption.** ### **Here, your role will be:** ### **Main Responsibilities** ### **1\) Risk Dashboards and Reporting** * ### **Design and build dashboards (KPIs/KRIs, portfolio quality, provisions, risk appetite, performance by segment/product).** * ### **Prepare periodic reports with narrative: key movements, drivers, alerts, and recommendations.** ### **2\) Data Governance and Data Quality** * ### **Implement data quality controls (completeness, consistency, reconciliation, reasonableness testing).** * ### **Maintain metric definitions, documentation, business rules, and audit evidence.** * ### **Consolidate and ensure metric/system traceability (data lineage), identifying breaks and inconsistencies.** ### **3\) Databricks / Pipelines** * ### **Build curated datasets ("gold" tables), pipelines, and transformations in Databricks (Spark SQL / PySpark).** * ### **Optimize performance and reliability (jobs, partitioning, cost control, automation).** ### **4\) Certification and Validation of Publications** * ### **Support certification/challenge processes for KRIs and risk figures prior to publication.** * ### **Validate credit data for internal/external reports and coordinate with corporate areas, following controlled reporting practices.** ### **5\) Automation and Applied AI** * ### **Automate repetitive tasks (controls, comments, reconciliations, base table generation).** * ### **Propose AI use cases that improve productivity and quality without compromising internal controls.** ### **You’ll resonate with us if you embody:** ### **Think** **Customer** **– I think about the customer** ### **Embrace** **Change** **– I drive change** ### **Act** **Now** **– I act swiftly** ### **Move** **Together** **– I collaborate effectively** ### **Speak** **Up** **– I speak openly** ### **For this role, we value:** ### **Requirements** ### **Experience** * ### **Experience in BI / analytics / reporting within banks or financial services, ideally in credit risk or risk finance.** * ### **Experience in controlled reporting environments with multiple stakeholders (Risk, Finance, Technology, Compliance).** ### **Knowledge** * ### **Strong understanding of credit risk metrics and provisions (drivers, coherence, time-series comparisons).** * ### **Ability to interpret results and craft executive narratives.** ### **Technology** * ### **Advanced SQL; Python (for automation/validations).** * ### **Databricks/Spark (PySpark or Spark SQL).** * ### **BI Tools: Power BI, Tableau, or Qlik; semantic modeling and best practices in visualization.** * ### **Git and documentation best practices.** ### **Competencies** * ### **Rigor, attention to detail, and focus on controls.** * ### **Ability to synthesize and tell stories with data.** * ### **Proactivity in identifying data inconsistencies, operational risks, or data weaknesses.** ### **If this resonates with you, join Santander!** ### **\#** **BENEFITS** ### **Variable Compensation (PLR \+ Bonus);** ### **Medical and Dental Insurance;** ### **Meal and Food Allowance;** ### **Supplementary Pension;** ### **Life Insurance;** ### **Childcare/Babysitter Assistance;** ### **Gympass** **or** **Totalpass** **;** ### **Transportation Voucher;** ### **Nascer Program;** ### **Be** **Healthy** **\- Program encouraging healthier habits;** ### **PAPE \- Specialized Personal Support Program** ### **So? Ready to be called?** ### **Santander is a growing ecosystem committed to helping people and businesses thrive. Here, you’ll create the new, question and challenge the market. It’s about urgency — aligning the present and the future to serve customers in the best possible way. It’s about being part of a global company that values each individual’s full potential and champions diversity across all dimensions. It’s about being simple, personal, and fair.** ### **If this resonates with you, join Santander!** ### **\#AquiSuaChamaTransforma

João Silva
Indeed · HR