Senior Data Analyst

Location: Lisboa

*** Mention DataYoshi when applying ***


Must have:

Apache Spark



Other Required:


Apache Kafka

Microsoft Azure


Nice to have:

Machine Learning



  • Proactively and dynamically develop complex data analyzes in order to identify patterns of suspicious financial crime activities, as well as support investigations;
  • Analyze high volumes of data and information in order to define / calibrate financial crime prevention models, and test the effectiveness and efficiency of these models;
  • Have the expertise and challenge skills necessary to request / articulate / coordinate with the Corporate Models team the need / requirements / selection of AI / ML / Others models that make sense and are an added value in PBC, and ensure good implementation;
  • Ensuring, in conjunction with the rest of the PBC team, the recurrent applicability in BAU of new processes and models of tests or more intelligent and automatic lookback alerts;
  • Identify, articulate and directly ensure with IT the need to provide additional data to better support the various analyzes and tests;
  • Develop performance and risk indicators on financial crime prevention systems, as well as subsequent monitoring analyzes;
  • Participate in development projects on monitoring systems and IT controls in direct contact with other areas of the Bank;
  • Develop reports of conclusions and / or monitoring in a clear, logical and objective way.


  • Solid knowledge in data exploration and treatment (ORACLE SQL and PL \ SQL, SPARKSQL, etc.)
  • Knowledge of some object-oriented programming language (namely Java, C ++, etc.)
  • Experience in cleaning and structuring data from various sources, including unstructured sources
  • Familiarity with the construction of graphical representations of data, through descriptive statistics and correlations
  • Ability to prepare data for modeling, namely treatment of missing values and outliers, based on their business meaning
  • Knowledge or willingness to learn Big Data technologies and methodologies, namely in the Apache and Azure ecosystem
  • Knowledge or willingness to learn streaming technologies (namely Kafka)
  • Notions of statistical modeling and machine learning
  • Creativity and critical thinking in the search, interpretation and transformation of data for non-trivial uses


  • Family Friendly Enterprise Certification
  • Great Place to Work Awards
  • FlexiWorking
  • Annual Leave is composed by:
    • 25 days;
    • Children Birthday;
    • Own Birthday;
  • Gym in the Headquarters


To apply for this job you must be willing to work in the time zones between UTC+1 and UTC+1.


*** Mention DataYoshi when applying ***

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