J.P. Morgan
Join us as a visionary leader, where you'll revolutionize corporate finance by integrating traditional modeling with cutting-edge data science techniques. We are seeking a dynamic leader with a strong corporate finance and analytical background.
As an Executive Director, Financial Analysis Data Science within the Commercial and Investment Bank, you will drive strategic insights and actionable plans through rigorous quantitative analyses. You will collaborate with cross-functional teams to enhance our analytical capabilities, lead a high-performing team, and foster innovation and continuous improvement in a dynamic environment. You will report directly to the Head of Transformation & Innovation, playing a central role in integrating traditional financial modeling with advanced data science techniques. The ideal candidate will possess deep finance expertise, industry knowledge, a strong analytical skillset, and the ability to collaborate effectively to translate financial insights into actionable strategies.
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. Conduct exploratory analyses to identify patterns and opportunities for improvement. Work closely with stakeholders across Finance, Risk, CIB LoBs, and technology to understand business needs and translate them into analytical solutions. Prepare, design, and deliver executive-level presentations and reports, utilizing 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. Deep expertise in financial analysis, with a demonstrated ability to convert intricate data streams into strategic insights. Advanced PowerPoint skills with experience in preparing and delivering executive-level presentations. Proficiency in traditional financial tools (advanced Excel, financial software) and familiarity with data science and/or statistical analysis and programming/scripting (Python, R). Strong analytical and problem-solving skills, with 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 relentless intellectual curiosity, quick thinking, and adaptability.
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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. Conduct exploratory analyses to identify patterns and opportunities for improvement. Work closely with stakeholders across Finance, Risk, CIB LoBs, and technology to understand business needs and translate them into analytical solutions. Prepare, design, and deliver executive-level presentations and reports, utilizing 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. Deep expertise in financial analysis, with a demonstrated ability to convert intricate data streams into strategic insights. Advanced PowerPoint skills with experience in preparing and delivering executive-level presentations. Proficiency in traditional financial tools (advanced Excel, financial software) and familiarity with data science and/or statistical analysis and programming/scripting (Python, R). Strong analytical and problem-solving skills, with 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 relentless intellectual curiosity, quick thinking, and adaptability.
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