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Balance Sheet Strategy – Data Architecture & Analytics - Vice President

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Citi

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Location:
India , Mumbai

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Category:
Finance

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Contract Type:
Not provided

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Salary:

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Job Description:

The Balance Sheet Strategy – Data Architecture & Analytics - Vice President, Mumbai will be a hands‑on contributor responsible for designing and delivering the data and analytics architecture that supports the firm’s balance sheet strategy. The role requires strong technical capability and a solid understanding of banking balance sheet mechanics to build scalable, high‑quality data and analytics frameworks for Treasury decision‑making. The position offers exposure to senior stakeholders and the opportunity to shape how a global GSIB manages capital, liquidity, and funding.

Job Responsibility:

  • Design and implement scalable data models and architectures to represent the bank’s balance sheet across products, businesses, and legal entities
  • Develop analytics pipelines, tools, and dashboards that support Treasury decision‑making including capital allocation, liquidity management, and funding strategy
  • Build and maintain Python-based workflows for data ingestion, transformation, validation, and analytics
  • Create and maintain Tableau dashboards and other analytical outputs for senior Treasury, Risk, and Finance stakeholders
  • Work directly with Treasury, Risk, and Finance teams to translate business requirements into robust data and analytics solutions
  • Develop and embed data quality checks, documentation, and traceability frameworks aligned with regulatory and internal governance standards
  • Act as a subject matter expert on data architecture and analytics best practices, contributing to design discussions and solution development without direct people-management responsibilities

Requirements:

  • Bachelor’s degree in Finance, Economics, Mathematics, Computer Science, Engineering, or related field (Master’s preferred)
  • 6–10 years of experience in Treasury, balance sheet strategy, risk analytics, data engineering, or quantitative finance
  • Strong Python programming experience (data pipelines, modelling, analytics)
  • proficiency with Tableau or similar BI tools
  • Experience designing data models, schemas, and analytics architectures for large and complex financial datasets
  • Ability to translate complex banking balance sheet dynamics into structured data and analytical frameworks
  • Demonstrated intellectual curiosity, self‑direction, and ability to derive analytical approaches from first principles
  • Ability to communicate technical concepts clearly to senior Treasury and business stakeholders
  • Understanding of capital, liquidity, and interest rate risk frameworks (e.g., CET1, RWA, LCR, NSFR, IRRBB)

Additional Information:

Job Posted:
March 18, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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