Senior Data Analyst, Regulatory Reporting & Data Governance
Overview
As a Senior Data Analyst at Bank of America, you will own data validation, reconciliation, and controls for regulatory reporting across capital markets products like equities, bonds, options, and swaps. You will join the CFO Data Management team, collaborating with global business and technology partners to ensure operational data is fit for purpose. Your work directly supports accurate downstream reporting and data governance, making you a key point of contact for data compliance. This role stands out for its focus on trade-level analysis and remediation of complex data issues, offering a path to impact financial lives at scale.
What You'll Do10
- 1Execute data validation and reconciliation for regulatory reporting, ensuring accuracy of trade data across product sets.
- 2Build and maintain Finance Packs and dashboards, presenting walkthroughs to business and onshore partners.
- 3Manage relationships with business and onshore stakeholders, driving alignment on data quality and control objectives.
- 4Support monthly production cycles and contribute to project design, implementation, and documentation delivery.
- 5Run and refine controls to detect data quality gaps, triaging and resolving incidents with the data platform.
- 6Analyze capital markets and trade data, identifying gaps and performing adjustments to support regulatory submissions.
- 7Own data-related inquiries, providing guidance on data availability and sourcing alternatives to inform decisions.
- 8Develop and enforce Enterprise Data Management policies, ensuring adherence across teams and managing EDSGO relationships.
- 9Partner with Business and Technology to shape business and functional requirements, ensuring strategic upstream fixes for data issues.
- 10Oversee control monitoring, tracking breaches, and driving resolution with cross-functional teams.
Requirements10
- 15+ years in data analysis, with hands-on experience in data validation, reconciliation, and controls.
- 2Expert knowledge of financial products, including equities, bonds, options, swaps, and other traded derivatives.
- 3Proven ability to analyze trade data, identify gaps, and execute data adjustments using SQL and Excel.
- 4Strong communication skills, with the ability to present data insights to stakeholders at all levels.
- 5Experience working in a dynamic, collaborative environment, managing multiple priorities effectively.
- 6Demonstrated organizational skills, attention to detail, and numerical aptitude.
- 7Proficiency with Microsoft Excel for data manipulation and reporting.
- 8Desired: general ledger reconciliation experience.
- 9Desired: proficiency with Python, R, or SQL for automation and data analysis.
- 10Desired: knowledge of automation or AI tools to enhance data processes.
Salary Insight
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