Role Introduction/Overview The Balance Sheet Strategy Lead Analyst will play a critical role in designing and delivering the data and analytics architecture that underpins the firm’s balance sheet strategy. The successful candidate will combine strong technical capability with a deep understanding of banking balance sheet mechanics to build scalable, high-quality data and analytics frameworks for Treasury decision-making. In return, they will gain exposure to senior leadership and shape how a global GSIB manages capital, liquidity, and funding at scale. Business/Team Overview The Balance Sheet Strategy team sits within Treasury and is responsible for the strategic allocation of capital, liquidity, and funding across the firm, ensuring regulatory compliance and long-term profitability. The team partners closely with Risk, FP&A, Technology, and business units to build integrated analytics and data platforms that support strategic planning, stress testing, and balance sheet optimisation. Key Responsibilities in the Role + Balance Sheet Data Architecture: Design and implement scalable data models and architectures to represent the bank’s balance sheet across products, businesses, and legal entities. + Analytics Frameworks: Develop analytics pipelines and dashboards to support Treasury decision-making, capital allocation, liquidity management, and funding strategy. + Python-Based Modelling & Data Engineering: Build robust Python-based workflows for data transformation, validation, and analytical modelling. + Visualization & Reporting: Design and maintain Tableau dashboards and analytical outputs for senior Treasury and Risk stakeholders. + Stakeholder Collaboration: Translate Treasury and business requirements into technical data and analytics solutions. + Data Governance & Controls: Implement data quality controls, documentation, and traceability frameworks aligned with regulatory and internal governance standards. + Technical Leadership: Provide technical guidance, best practices, and mentoring to junior analysts and partner teams. Development Value + This role offers the opportunity to: + Develop deep expertise in GSIB balance sheet mechanics, capital and liquidity frameworks, and Treasury strategy. + Build enterprise-scale data architecture and analytics platforms used by senior leadership. + Advance technical skills in Python, data engineering, and advanced analytics design. + Work closely with senior Treasury, Risk, and Finance leadership on strategic decision-making. + Influence the long-term architecture of the bank’s balance sheet analytics ecosystem. Knowledge, Skills, and Experience Required + Education: Bachelor’s degree in Finance, Economics, Mathematics, Computer Science, Engineering, or related field (Master’s preferred). + Experience: 6–10 years’ experience in Treasury, balance sheet strategy, risk analytics, data engineering, or quantitative finance roles. + Technical Skills: Strong Python programming experience (data pipelines, modelling, analytics); experience with Tableau or similar BI tools. + Data Architecture: Experience designing data models, schemas, and analytics architectures for large financial datasets. + Analytical Capability: Ability to translate complex banking balance sheet dynamics into structured data and analytical frameworks. + Curiosity and First-Principles Thinking: Demonstrated intellectual curiosity and self-motivation to understand how banks fundamentally operate and independently derive analytical approaches from first principles. + Communication: Ability to communicate technical concepts clearly to senior Treasury and business stakeholders. + Regulatory Knowledge: Understanding of capital, liquidity, and interest rate risk frameworks (e.g., CET1, RWA, LCR, NSFR, IRRBB). ------------------------------------------------------ **Job Family Group:** Risk Management ------------------------------------------------------ **Job Family:** Finance Risk ------------------------------------------------------ **Time Type:** Full time ------------------------------------------------------ **Most Relevant Skills** Business Acumen, Data Analysis, Financial Modeling, Internal Controls, Management Reporting, Market Risk, Problem Solving, Process Execution, Risk Identification and Assessment. ------------------------------------------------------ **Other Relevant Skills** For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ _Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._ _If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi (https://www.citigroup.com/citi/accessibility/application-accessibility.htm)_ _._ _View Citi’s_ _EEO Policy Statement (https://www.citigroup.com/global/eeo-aa-policy)_ _and the_ _Know Your Rights (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf)_ _poster._ Citi is an equal opportunity and affirmative action employer. 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