Senior Financial Data Analyst

1 day ago


Taguig, National Capital Region, Philippines beBeeFinancial Full time $90,000 - $120,000
Job Overview

At this leading banking institution, you will have the opportunity to expand your skills and make a difference in one of the world's most global banks.

We are fully committed to supporting your growth and development from the start with extensive on-the-job training and exposure to senior leaders, as well as traditional learning. You'll also have the chance to give back and make a positive impact where we live and work through volunteerism.

Key Responsibilities
  • Develop and implement comprehensive data governance that aligns with organization and regulatory requirements.
  • Support the analysis and accuracy of reports to various constituencies (SEC, Fed, OCC, local regulators etc.) based on requirements such as US GAAP, US Regulatory, and local statutory reporting.
  • Investigate and present data usage and quality issues to stakeholders.
  • Translate regulatory reporting requirements into business specifications.
Required Skills and Qualifications
  • 5-7 years of previous experience required.
  • Strong financial products knowledge and experience of financial reporting and analysis.
  • Critical Thinker, Self-motivated and detail oriented.
  • Proven problem-solving and decision-making skills.
  • Working knowledge of related industry practices and standards.
Benefits

We provide programs and services for your physical and mental well-being including access to telehealth options, health advocates, confidential counseling and more. Coverage varies by country.

Being part of our team means that we'll provide you with the resources to meet your unique needs, empower you to make healthy decisions, and manage your financial well-being to help plan for your future.

Work Environment

The Finance Reporting Intermediate Analyst is an intermediate level position responsible for developing, maintaining business requirements and controls of regulatory reporting data hub (RDH)'s data lifecycle, data lineage, data quality scorecards, and visualizations.



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