VP, Quant Modeling & Financial Analytics

Testing Site - JPMC; New York (NY); On-site; USD 220,000 - 320,000; Full time

Job summary

JPMorgan Chase & Co. seeks a Vice President, Quantitative Modeling in its Financial Analysis Data Science CoE in New York. Lead development of financial models and forecasting tools to drive actionable insights for senior leadership.

You will blend traditional corporate finance with AI/ML techniques, mentor analysts, and present complex findings to executives while staying ahead of industry trends.

Qualifications

• Advanced degree in Finance, Quantitative Finance, Data Science, Economics or related field.
• Minimum 5 years’ experience in financial modeling, forecasting or quantitative research within a leading financial organization.
• Deep expertise in data science, statistical analysis and model development.
• Strong programming/scripting skills (Python, R).
• Proficiency in Excel and PowerPoint; strong communication and leadership abilities.

Responsibilities

• Oversee the design, development, and implementation of financial models and forecasting tools for senior leadership.
• Analyze large datasets to extract insights and trends.
• Design predictive models blending corporate finance with data science.
• Conduct exploratory analyses to identify patterns and opportunities for improvement.
• Collaborate with Finance, Risk and technology to translate needs into analytical solutions.
• Prepare executive presentations and deliverables using advanced PowerPoint.

Skills

Advanced degree

5+ years experience

Data science

Python

R

Excel

PowerPoint

Communication

Leadership

Model development

Education

Master's or PhD in Finance/Quantitative Finance/Data Science/Economics

Tools

Python

R

Excel

PowerPoint

Job description

JPMorgan Chase & Co. seeks a Vice President, Quantitative Modeling in its Financial Analysis Data Science CoE in New York. Lead development of financial models and forecasting tools to drive actionable insights for senior leadership.

You will blend traditional corporate finance with AI/ML techniques, mentor analysts, and present complex findings to executives while staying ahead of industry trends.