Financial Analysis, Data Science Center of Excellence - Vice President
JPMorgan Chase & Co.About the role
The Firmwide Planning and Analysis Organization is seeking an integral leader to define and communicate the strategic vision. The Financial Analysis - Data Science Center of Excellence is a global team within the Office of the Chief Financial Officer, responsible for design, development and deployment of various macroeconomic and econometric models, and broader Data Science efforts, including Artificial Intelligence and Machine Learning (AI/ML) in the Firmwide P&A (Planning & Analysis) organization.
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).
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursemen
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