Data Analytics - 2nd Level Controls and Testing
Montreal - Canada
16d ago


The Compliance 2nd Line Monitoring and Testing team (CTL) provides regular and independent testing and monitoring of key controls and processes related to the management of those compliance risk associated with the business activities of Société Générale in the U.

S. ( SGUS ).CTL is a key component of the SGUS overall Compliance program and is part of an effective compliance risk management program .


The candidate will be responsible for performing data analytics functions to assist CTL Day-to-day responsibilities will include :

  • Assisting in data analytics activities across assessment, testing and monitoring activities with a focus on automation of testing activities
  • Applying investigative skills and analytical methods to examine data, assess business impacts, and present actionable intelligence to support fact-based decisions
  • Employing advanced analytic techniques, such as leveraging visualization tools (e.g., Tableau, Click View, Tableau, etc.
  • predictive modeling (e.g., SPSS, SAS, neural networks), and geospatial analyses

  • Identifying and developing appropriate analytical and robotic tools and applications as necessary (e.g., web-based application modules, database reports, user interfaces)
  • Able to understand various data structures and common methods in data transformation
  • Increasing value and reducing costs of compliance-related activities
  • Support in helping maintain a data repository that has the appropriate tools to support analytic functions
  • Applying industry and technical expertise to identify and present opportunities for effectively mitigating risk, improving business performance, increasing value and reducing costs of CTL-related activities
  • Assisting with building a sustainable data platform for analyzing key metrics and identifying trends
  • Profile

    Competencies, Skills and Qualifications :

    Competencies :

  • General understanding of Compliance rules, regulations and best practices
  • Strong attention to detail
  • Ability to work independently
  • Excellent oral and written communication skills
  • Ability to communicate well across all levels of an organization
  • Technical Skills & Knowledge :

  • Proficient in MS Office, including MS Word and Excel
  • Experienced in using advanced automation robotic tools such as Automation Anywhere, Blue Prism, Pega, etc.
  • Understanding of database concepts, including building relationships between tables, grouping data, and producing cohesive analyses;
  • Ability to leverage data manipulation and analysis technologies inclusive of Microsoft SQL Server, SQL, Oracle, DB2, and Share Point tools
  • Working Knowledge of any of the following : R, SAS, Python, PMML, STATA, or SPSS
  • Prior work experience :

  • 2-4 years of experience in a Data Analytics role
  • 2-4 years of which are in a large financial services firm; and
  • 2-4 years of which are related to Compliance / Risk Management topics
  • Qualifications (Experience, Education, Languages) :

  • Bachelor's degree in statistics, data analytics, computer science, mathematics, engineering or applied sciences
  • French a plus but not required
  • Apply
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