Associate - Quant Analytics
JPMorgan Chase · Posted Oct 7
Global banking, investment, credit card, mortgage, and asset management services
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About the role
The Consumer and Business Banking Finance team supports reporting, planning, analytics, and decision-support through quantitative revenue models and high-quality datasets. As a Revenue Finance Quantitative Analytics and Data Engineering Analyst, the role involves preparing and validating large datasets, implementing, testing, and back-testing revenue models in cloud-based environments using Python and Databricks, and evaluating model performance. The role partners across Technology, Finance, and Business teams to translate requirements into analytical solutions and deliver insights to Finance and Business Management leaders, working a 2:00pm to 11:00pm shift in a hybrid in-office model.
What you will do
- Develop and support quantitative revenue models by preparing, validating, and transforming large datasets using Databricks, while ensuring data quality through root cause analysis and issue resolution
- Implement, test, and back-test quantitative models within cloud-based and analytical environments using Python, ensuring model accuracy, robustness, and scalability
- Evaluate model performance, analyze variances, and communicate findings through clear, data-driven recommendations that support business objectives
- Leverage deep understanding of Consumer and Business Banking products, pricing structures, and revenue drivers to support analytical and strategic decision-making
- Conduct advanced analytics and customer behavior deep dives to identify business opportunities, uncover trends, and generate actionable insights for stakeholders
- Partner effectively across Technology, Finance, and Business teams to translate business requirements into analytical solutions and drive successful model deployment
- Prepare and deliver executive-level presentations that effectively communicate complex quantitative, financial, and technical concepts to senior leadership and key stakeholders
Skills used in this role
What the employer is looking for
- Bachelor’s degree required
- Advanced proficiency in SQL, Python, and Databricks, with experience in data preparation, transformation, validation, and quantitative model implementation
- Experience working with large, complex datasets and deriving actionable business insights
- Strong analytical and problem-solving skills
- Minimum 2 to 4 years of experience in quantitative analytics, data science, and financial modeling
- Understanding of banking products, pricing structures, revenue drivers, and customer behavior
- Ability to evaluate model performance, analyze variances, and communicate data-driven recommendations
- Strong collaboration skills and ability to partner across Technology, Finance, and Business teams
- Ability to prepare and deliver executive-level presentations communicating complex quantitative, financial, and technical concepts
- Attention to detail, critical thinking, and ability to manage multiple priorities in a fast-paced team environment
- Positive attitude and intellectual curiosity
Preferred qualifications
- Master of Science, Master of Technology, or Master of Business Administration (Finance)
- Experience with cloud-based analytics platforms
- Familiarity with AI tools, Tableau, and Alteryx
- Familiarity with financial modeling
Benefits and support
- Compensation and benefits are detailed in the job posting
About JPMorgan Chase
JPMorgan Chase & Co. is one of the oldest, largest, and most diversified financial services institutions in the world. Operating globally through the J.P. Morgan and Chase brands, the firm provides a comprehensive range of financial solutions including investment banking, consumer and commercial banking, transaction processing, and asset management. Serving millions of consumers and many of the world's most prominent corporate, institutional, and government clients, the company combines deep market expertise with extensive technological investments.
- Industry
- Banking
- Company size
- 320000+ employees
- Founded
- 1799
- Location
- New York, New York, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
Chief Financial Officer
Chief Operating Officer
Global Chief Information Officer
CEO, Asset & Wealth Management
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