Join us as a visionary leader, where you'll revolutionize corporate finance by integrating traditional modeling with cutting-edge data science techniques. Seeking a dynamic leader with a strong corporate finance and analytical background

Skills, Experience, Qualifications, If you have the right match for this opportunity, then make sure to apply today. As an Data Scientist Director, Financial Analysis Data Science within the Commercial and Investment Bank, you will drive strategic insights and actionable plans through rigorous quantitative analyses, collaborating with cross-functional teams to enhance our analytical capabilities. You will lead a high-performing team, fostering innovation and continuous improvement in a dynamic environment. You will report directly to the Head of Transformation & Innovation and is central to enhancing our analytical capabilities by integrating traditional financial modeling with cutting-edge data science techniques. The ideal candidate will have deep finance expertise and industry knowledge, a strong analytical skillset, and the ability to collaborate with cross-functional teams to drive rigorous quantitative analyses that translate financial insights into actionable plans. While a strong foundation in finance is essential, experience in data science techniques—including AI, ML, and advanced econometric methods—is highly valued" Job Responsibilities: Oversee the design, development, and implementation of financial models and forecasting tools that derive actionable insights for senior leadership in Financial Analysis. Analyze large datasets to extract meaningful insights and trends. Innovate and design predictive models and sophisticated data science methodologies that blend traditional corporate finance with modern analytical techniques. Architect, build, and deploy ML/GenAI models (NLP, LLMs, RAG, agentic workflows) Conduct exploratory analyses to identify patterns and opportunities for improvement. Work closely with stakeholders across Finance, CDAO, CIB LoBs and technology to understand business needs and translate them into analytical solutions. Prepare, design, and deliver executive-level presentations and reports using advanced PowerPoint skills to clearly communicate complex analytical findings. Collaborate with senior leadership and cross-functional teams to provide strategic, data-driven insights that inform decision-making. Manage and mentor a high-performing team of analysts and data scientists, fostering a collaborative and innovative culture. Promote continuous improvement and intellectual curiosity across the team by staying abreast of emerging trends in corporate finance and data science. Required qualifications, capabilities, and skills : Advanced degree in Finance, Quantitative Finance, Data Science, Economics, or a related field. A minimum of 7 years’ experience in financial modeling, forecasting or quantitative research within a leading financial organization. Experience with NLP, LLMs, agentic workflows, and scalable ML architectures

Proficiency in traditional financial tools (advanced Excel, financial software) is required; familiarity with data science and/or statistical analysis and programming/scripting (Python, R). Strong analytical, problem-solving skills and attention to detail. Exceptional communication skills with a proven ability to prepare and deliver executive-level presentations. Ability to work independently and as part of a team. Experience managing and mentoring cross-functional teams, cultivating a collaborative environment. A results-driven mindset paired with a relentless intellectual curiosity, quick thinking. Preferred qualifications, capabilities, and skills : Background in finance, with experience in fintech, banking, asset management, or consulting for financial clients

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