Business Analyst

Canary Wharf
1 year ago
Applications closed

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Data Engineer

Data Engineer

We are seeking an experienced Business Analyst with a deep understanding of banking and financial services products to join our team. You will play a pivotal role in driving data quality improvements and transformations across multiple financial products. As part of the role, you will collaborate closely with key stakeholders, including engineering teams, product owners, and functional SMEs, to ensure the efficient delivery of data solutions. Your expertise will help identify and resolve data quality issues while ensuring alignment with business objectives and regulatory requirements.
Key Requirements:

  • Experience: Minimum 7-10 years as a Business Analyst in a data transformation or data quality program within a major bank, investment banking, or financial services organization.
  • Domain Knowledge: Deep expertise in at least one banking/financial services product such as loans, equities, or derivatives.
  • Must Have: Hands on Experince in Data Analysis and its Management Tools.
  • Communication : Excellent
  • Availability : Immediate
    Key Responsibilities:
  • Deep dive into a financial product area to understand and document data flows.
  • Create and leverage metrics to identify opportunities for data quality improvements.
  • Conduct root cause analysis of data quality issues and manual adjustments, collaborating with engineering, product owners, and SMEs to implement solutions.
  • Drive prioritization discussions by using data-driven insights and stakeholder relationships.
  • Present impact assessments and delivery updates to senior stakeholders and leadership.
  • Work with regulatory reporting teams to understand the impact of data quality issues on compliance and reporting.
  • Collaborate with Market Risk Analytics and Front Office teams to deliver reporting and analytics solutions.
    Preferred Skills & Tools:
  • SQL, Python, PySpark for data analysis and transformation.
  • Experience with data governance, data lineage, and data quality frameworks.
  • Familiarity with regulatory reporting (e.g., Basel, CCAR, FRTB).
  • Strong stakeholder management and communication skills.
  • Experience working with Big Data technologies (Hadoop, Spark, Kafka, etc.).
  • Proficiency in Tableau for data visualization and reporting

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