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The Balance Sheet Analytics & Management (BSAM) team is seeking a technically skilled Python developer with a solid understanding of Treasury, IRRBB, and ALM concepts. In this role, you’ll design and optimize analytics tools that power Citi’s NIR/NIM forecasting, balance sheet planning, and rate risk assessments. This is a hands-on Tableau designing and UX role focused on building scalable, high-performance dashboards leveraging Oracle or Hyper data backbone.
Job Responsibility:
Develop and maintain Tableau based analytics dashboard for NIR/NIM modeling and IRRBB simulations
Optimize data pipelines using vectorized operations, memory-efficient structures, and just-in-time compilation
Collaborate with Treasury, Risk, and Finance teams to integrate your tools with business workflows
Contribute to forecasting and scenario analysis with automated tools for volume, rate, and mix attribution
Work with larger than memory data to build robust, reusable, and dynamic dashboards
Support monthly reporting cycles, ALCO packages, and results validation for NIR/NIM metrics
Follow SDLC best practices and use GitHub for code versioning and release management
Requirements:
5+ years of experience in Treasury, ALM, IRRBB, or related financial analytics
Strong Tableau UX design and data manipulation techniques
Familiarity with Treasury data structure
Proficiency in SQL for large-scale data extraction and transformation
Comfortable working independently and contributing to cross-functional teams
Strong written and verbal communication skills to present technical work to non-technical partners
Experience with Python is a plus (especially tableauhyperapi)
Nice to have:
Experience with Python (especially tableauhyperapi)
What we offer:
Opportunity to grow your career
Contribute code used across Treasury and Finance groups globally
Exposure to balance sheet strategy, interest rate risk metrics, FTP, and liquidity planning
Learn Treasury ALM from the ground up
Work on high-impact regulatory and business-driven initiatives
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