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Dc-Compliance Analytics - Data Analyst III

On-site in Lisbon·Added 2 days ago (last checked 28 Oct)

Banco BPI

8 open roles

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Our summary

Work mode: On-site, Lisbon

Skills

Nice to have

This job advert was originally written in Portuguese.

Requirements

What we're looking for

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 in building data analysis models and management reporting;
Experience in processing and analyzing 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 visualization and reporting tools, preferably Power BI;
Experience in exploratory data analysis and predictive modeling;
Solid knowledge of descriptive and inferential statistics;
High analytical capacity, critical thinking, and problem-solving orientation.
Ability to communicate with technical and non-technical interlocutors. Orientation towards quality, rigor, and collaborative work.

Nice to have

Knowledge or experience in SAS;
Experience in Advanced Analytics or Machine Learning projects;
Knowledge of the regulatory framework of the financial sector;
Knowledge of Compliance, AML/CFT, Risk Management, or Audit;
Experience in the definition and monitoring of KRIs, KPIs, and management metrics;
Knowledge of cloud analytics platforms and data ecosystems;
Experience in 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.

The role

Joining the Compliance Department, your mission will be to leverage the use of data, analytics, and technological solutions to support compliance risk management, conduct risk monitoring, and information-based decision-making. As a data analysis specialist, you will contribute to the development of analytical models, risk indicators, reporting solutions, and automation initiatives that strengthen the effectiveness and efficiency of the Compliance function.

You will play a relevant role in the digital transformation of the Department, ensuring the availability of reliable, relevant, and timely information for management bodies, Compliance teams, and other stakeholders.

What you'll do

Develop, maintain, and optimize management information systems that support the monitoring of compliance, conduct, money laundering, fraud, data protection, and other non-financial risks monitored by the Department;
Design and implement analytical models and data analytics solutions that support the identification of trends, behavioral patterns, emerging risks, and risk mitigation opportunities;
Develop dashboards, executive reports, and data visualization tools that allow for the tracking of risk and performance indicators, supporting the decision-making processes of the governing bodies and the Department's management;
Participate in the definition, calculation, and monitoring of Key Risk Indicators (KRIs) and Key Performance Indicators (KPIs), ensuring their methodological consistency and alignment with the control and supervision objectives of the function;
Identify opportunities for automation, simplification, and process improvement through the use of analytical solutions, artificial intelligence, automation, and advanced data exploration;
Ensure the quality, integrity, traceability, and consistency of the information used by the Department, 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 technological and business areas in the implementation of solutions that impact the information systems used by the Compliance Department;
Participate in strategic projects regarding digital transformation, regulatory reporting, risk monitoring, and business intelligence, ensuring the representation of the Compliance function's needs;
Support the preparation of periodic reports for Specialized 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 compliance with the regulatory and governance requirements established by the Bank;
Promote a data-driven decision culture, facilitating the use of analytical tools by the Department's teams.