Mission
As part of the Compliance Directorate, your mission will be to enhance the use of data, analytics and technological solutions to support compliance risk management, the monitoring of conduct risks and informed decision-making. As a data analysis specialist, you will contribute to developing analytical models, risk indicators, reporting solutions and automation initiatives that strengthen the effectiveness and efficiency of the Compliance function. You will play an important role in the Directorate's digital transformation, ensuring reliable, relevant and timely information is available to management bodies, Compliance teams and other stakeholders.
Responsibilities
•Develop, maintain and optimise management information systems that support the monitoring of compliance, conduct, money laundering, fraud, data protection and other non-financial risks monitored by the Directorate.
•Design and implement analytical models and data analytics solutions to support the identification of trends, behaviour patterns, emerging risks and risk mitigation opportunities.
•Develop dashboards, executive reports and data visualisation tools to monitor risk and performance indicators, supporting decision-making by governing bodies and the Directorate's management.
•Participate in defining, calculating and monitoring key risk indicators (KRIs) and key performance indicators (KPIs), ensuring methodological consistency and alignment with the function's control and oversight objectives.
•Identify opportunities to automate, simplify and improve processes through analytical solutions, artificial intelligence, automation and advanced data exploration.
•Ensure the quality, integrity, traceability and consistency of information used by the Directorate, promoting good data governance practices and information quality control.
•Develop data extraction, transformation and loading (ETL) processes, ensuring the efficient integration of different internal and external information sources.
•Collaborate with technology and business areas to implement solutions that affect the information systems used by the Compliance Directorate.
•Participate in strategic projects involving digital transformation, regulatory reporting, risk monitoring and business intelligence, ensuring the Compliance function's needs are represented.
•Support the preparation of periodic reports for Specialist Committees, the Executive Committee, the Board of Directors and Supervisory Authorities.
•Explore and develop artificial intelligence and machine learning use cases applied to the prevention and detection of compliance risks, always in accordance with the regulatory and governance requirements established by the Bank.
•Promote a data-driven decision-making culture by facilitating the use of analytical tools by the Directorate's teams.
Requirements
•Bachelor's degree in Computer Engineering, Data Science, Mathematics, Statistics, Economics, Management, Physics, Engineering or an equivalent field.
•Professional experience in Data Analytics, Business Intelligence, Data Science or similar roles.
•Proven experience building data analysis models and management reporting.
•Experience handling and analysing large volumes of data from multiple sources.
•Proficiency in SQL for data exploration, querying and processing.
•Proficiency in Python applied to data analysis, automation and analytical development.
•Proficiency in visualisation and reporting tools, preferably Power BI.
•Experience in exploratory data analysis and predictive modelling.
•Solid knowledge of descriptive and inferential statistics.
•Strong analytical skills, critical thinking and a problem-solving orientation.
•Ability to communicate with technical and non-technical stakeholders.
•Focus on quality and accuracy, and a collaborative approach to work.
Nice to have
•Knowledge of or experience with SAS.
•Experience in Advanced Analytics or Machine Learning projects.
•Knowledge of the regulatory framework for the financial sector.
•Knowledge of Compliance, AML/CFT, Risk Management or Auditing.
•Experience defining and monitoring KRIs, KPIs and management metrics.
•Knowledge of cloud analytics platforms and data ecosystems.
•Experience using generative artificial intelligence in a business context.
•Participation in digital transformation or data governance projects.
•Relevant certifications in Data Analytics, Power BI, Data Science, Azure Data or similar areas.
Conditions
No conditions stated in the posting.
