Data Analytics Senior Lead

4 weeks ago

Mississauga, Ontario, Canada 00002 Citibank, N.A. Full time

Job Summary

The Data Analytics Senior Analyst will perform complex and critical audits and assessments of Citi's risk and control environments of the Chief Operating Office (COO), including the Chief Data Office, Data Management, and Program Management leveraging analytical tools, data science, and innovations.

Key Responsibilities

  • Develops and maintains Computer Assisted Audit Tools and Techniques (CAATTs) using SQL based analytical tools (Python, SAS, SSMS, etc.).
  • Performs independent testing of business data extractions and segmentations for completeness, accuracy, and applicability to internal audit testing and regulatory requirements across multiple platforms.
  • Supports Risk Based Audits and Issue Validation through independent testing of data sets across multiple platforms, including Teradata, Oracle, SQL Server, and other databases for accuracy and applicability to internal audit testing and regulatory requirements.
  • Develops and supports analytical solutions for continuous auditing across a wide array of Citi's vast data landscape.
  • Leverages data science (statistics, NLP, ML, AI) to conduct broad and deep testing to identify data quality concerns, or potential weaknesses in data governance.
  • Possesses strong analytical and interpersonal skills, makes sound decisions, exhibiting initiative and intuitive thinking.
  • Applies knowledge of key regulations to influence analytical testing strategies.
  • Develops effective line management relationships to ensure strong understanding of the business.
  • Demonstrates strong judgment, political astuteness, and sensitivity to cultural diversity.

Requirements

  • Significant and demonstrable experience in writing SQL queries (T SQL, P/L SQL, SAS, or Python) with a minimum of 3+ years of experience.
  • Senior level experience in a related role with experience in providing scheduled and ad-hoc analytics or reporting, with proven abilities in taking responsibility for executing concurrently on a portfolio of high quality deliverables to stakeholders according to strict timetables.
  • Experienced understanding of management information systems, data analytics tools, and related best practices and control initiatives across the financial services industry.
  • Effective negotiation skills, a proactive and 'no surprises' approach in communicating issues and strength in sustaining independent views.
  • Strong interpersonal skills for interfacing with all levels of management.
  • Bachelor's/University degree or equivalent in Analytics, Data Science, MIS, Mathematics, Computer Science, or Information Technology (IT) preferred.

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