Risk Data Analyst

4 dni temu

Warszawa, Mazovia, Polska Citi Pełny etat
Job Description

The Risk Data Operating Model SVP role is responsible for ensuring timely and accurate definition and execution of Risk requirements according to the Citi Data Operating Model and in line with Citi commitments to the regulators. The role reports into the Data Transformation Lead and will be responsible for ensuring that Data Providers fulfil Data Operating Model Consent Order and BAU commitments to Risk and for demonstrating success through production and analysis of Use Case Outcomes Metrics.

Responsibilities include ensuring that prioritized data quality issues are defined and remediated, that data requirements are implemented, and that focus remains on the scope and commitments of each phase of the Risk Consent Order Data Plans to ensure proof of achieved use case benefits. May include management responsibility for a small team. This would require knowledge of how to manage user acceptance process and how to collaborate with Technology implementation managers and also, with Audit and BFQC compliance teams. A thorough understanding of strategic direction of Risk processes, systems and reporting, the Citi Data Operating Model, and a solid conceptual/practical grounding in both Risk and Finance Data.

Key Responsibilities

  • Develop, design, and maintain interactive dashboards and reports using Tableau.
  • Utilize Tableau Prep to clean, transform, and prepare data for analysis.
  • Collaborate with business teams to gather requirements and translate them into data-driven solutions.
  • Optimize dashboard performance and ensure scalability.
  • Implement best practices for data visualization and data processing to ensure clarity and accuracy.
  • Troubleshoot and resolve issues related to Tableau dashboards, Tableau Prep flows, and data connectivity.
  • Support end-users by providing training and documentation on Tableau and Tableau Prep usage.
  • Prepare regular and time-sensitive analytics, visualizations, and reports for risk managers and senior management.
  • Synthesize and communicate complex risk exposures and metrics.
  • Analyse, implement, and automate underlying data, data flows, and data controls to enhance processes and efficiency.
  • Work with risk managers, businesses, modelers, and tech to design and build analytical applications.
  • Focus on ensuring quality controls and assurance across different data workstreams.

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