Senior Financial Data Analyst

2 days ago

Ghaziabad, Uttar Pradesh, India beBeeData Full time ₹ 1,20,00,000 - ₹ 2,00,00,000
Job Opportunity

We seek a senior professional to excel at the intersection of law, finance, and technology.

This role is ideal for individuals who thrive in a complex data environment. You will play a pivotal part in extracting, analyzing, interpreting, and structuring legal and financial data from private credit agreements and related documentation.

As a senior team member, you will lead initiatives that enhance data accuracy, streamline documentation workflows, and support the development of scalable technology solutions for the private credit lifecycle.

Key Responsibilities:
  • Private Credit Expertise:
    • Analyze and interpret complex private credit agreements, including bespoke structures, amendments, and intercreditor arrangements.
    • Extract and validate key legal and commercial terms such as facility structure and hierarchy, pricing and margin mechanics, financial covenants, compliance thresholds, security package, collateral details, waterfall, payment priorities, and jurisdictional considerations and governing law.
  • Oversight & Quality Assurance:
    • Review and validate data extracted by junior analysts to ensure completeness and accuracy.
    • Provide legal interpretation and guidance on key clauses such as covenants, events of default, loopholes, representations & warranties, Payment-in-Kind, etc.
    • Track and analyze covenants, interest schedules, amortization, prepayment terms, and other credit metrics.
    • Conduct analytical reviews to identify risk flags, anomalies, or operational inefficiencies.
    • Stay current on legal developments and market trends affecting credit documentation.
  • Stakeholder Engagement:
    • Act as a subject matter expert for internal teams including Legal, Product Development, and Operations.
    • Deliver clear, actionable summaries, and insights from complex documentation to support strategic decisions.
  • Process Optimization & Automation:
    • Identify and implement opportunities to streamline data extraction and documentation workflows.
    • Support the creation and expansion of legal data taxonomies and standardized templates.
    • Collaborate with technology teams to enhance document parsing tools and build scalable solutions.
  • Mentorship & Leadership:
    • Train and mentor junior team members on documentation standards and legal interpretation, and data extraction techniques.
    • Lead documentation reviews for high-value or high-risk transactions.

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