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JPMorgan Financial Analysis Data Science Center Excellence - Vice President 
United States, New York, New York 
710852722

Yesterday

As a Financial Analysis - Vice President in the Data Science Center of Excellence, you will play a pivotal role in enhancing our analytical capabilities by integrating traditional financial modeling with cutting-edge data science methods. You will be tasked with defining and articulating our strategic direction, while reporting directly to the Head of Financial Analysis Data Science Center of Excellence.

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 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.
  • 5+ years of 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.
  • Strong analytical, problem-solving skills and attention to detail.
  • Exceptional communication skills with a proven ability to prepare and deliver executive-level presentations.
  • A results-driven mindset paired with a relentless intellectual curiosity, quick thinking, and the ability to innovate solutions that bridge data science and corporate finance.

Preferred qualifications, capabilities, and skills

  • Proficiency in traditional financial tools (advanced Excel, financial software) is required; familiarity with data science and/or statistical analysis and programming/scripting (Python, R) is a plus.
  • Advanced PowerPoint skills with experience in preparing and delivering executive-level presentations (preferred).
  • Experience managing and mentoring cross-functional teams, cultivating a collaborative environment (preferred).