Balance Sheet Mgmt Ld Analyst - C13 - Vice President

The Balance Sheet Management Senior Lead Analyst role within the Balance Sheet Integrated Solution group focuses on addressing intricate Treasury challenges using both traditional methods and advanced techniques, including AI/ML. Your responsibilities will involve collaborating with various teams such as Capital, IRRBB, FTP, Non-Market Risk, and Methodology to deliver strategic outcomes. A solid background in mathematics, quantitative finance, programming, and data science is crucial for this role. Effective communication, leadership, and collaboration skills are essential for influencing diverse stakeholders and guiding junior team members. Your primary responsibilities will include identifying, designing, and implementing solutions ranging from traditional analytical approaches to AI/ML to tackle the most critical challenges faced by Treasury. You will be expected to build and maintain Python libraries, adhere to SDLC best practices, and share code on GitHub with detailed documentation. Additionally, you will oversee the model pipeline and ensure compliance with Model Risk Management governance. Extracting, cleansing, and preparing large datasets using SQL and other data manipulation techniques for advanced analytics pipelines will also be part of your role. You will be responsible for developing impactful Tableau dashboards that simplify complex data insights into actionable recommendations. Furthermore, you will drive platform and model strategy, project prioritization, and forward-looking analytics aligned with organizational objectives. Collaboration with various teams will be necessary to deliver timely, data-driven solutions that enhance business decision-making. To qualify for this position, you should have over 10 years of relevant finance/banking experience, demonstrating expertise in Balance Sheet Management, Capital, IRRBB, Transfer Pricing, or similar areas. A strong foundation in mathematics, quantitative finance, programming, and data science is required, along with experience in creating and deploying advanced AI/ML solutions. Proficiency in Python, SQL, and data engineering practices is essential, as well as familiarity with analysis tools like Tableau and Excel and version control systems like GitHub. You should possess the ability to architect, maintain, and scale analytics pipelines within SDLC frameworks. Knowledge of capital markets activities, liquidity planning, and balance sheet analytics is beneficial. Exceptional communication, leadership, and collaboration skills are necessary to engage with technical and non-technical stakeholders effectively. A Bachelor's degree in a relevant field is required, with a preference for a Master's degree in Finance, Computer Science, Data Science, Mathematics, or similar. In addition to the core responsibilities and qualifications mentioned, proficiency in coding, Python, Tableau, and the ability to understand and design Quantitative Methods are desirable skills for this role.,