Balance Sheet Analytics Developer

• develop and maintain Python-based analytics libraries for NIR/NIM modeling and IRRBB simulations
• optimize data pipelines using vectorized operations, memory-efficient structures, and just-in-time compilation (e.g. Cython)
• 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 data from Pearl, Ruby, and Genesis systems to build robust, reusable modules
• 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

• 5+ years of experience in Treasury, ALM, IRRBB, or related financial analytics
• strong Python skills, with experience in NumPy, Polars, and performance libraries (e.g. Cython or C++)
• familiarity with Treasury systems (e.g. Pearl, Ruby, Genesis) and their data structures
• 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 Tableau is a plus (for lightweight reporting)
• bachelor’s degree in Computer Science, Financial Engineering, Economics, or a related technical/quant field

experience with Tableau

• opportunity to contribute code used across Treasury and Finance groups globally
• gain exposure to balance sheet strategy, interest rate risk metrics, FTP, and liquidity planning
• sharpen performance engineering and SDLC skills in a collaborative, high-ownership environment
• learn Treasury ALM from the ground up and work on high-impact regulatory and business-driven initiatives