Quant Analytics Vice President – Credit Card Analytics
| Company | JP Morgan Chase |
|---|---|
| Location | Wilmington, DE, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Senior, Expert or higher |
Requirements
- Bachelors in Science in a quantitative discipline – Statistics, Math, Finance, Economics, Operations Research, etc.
- Minimum 6+ years of analytical and industry experience in credit card, T&E retail, direct marketing, financial or other consumer orientated businesses, that capture and leverage a large transactional database
- Minimum 5+ years Knowledge of SQL and SAS/Python required.
- Exceptional analytical, technical, and statistical skill. Ability to synthesize/analyze diverse information, develop and recommend strategies, and make decisions
- Considerable background in consumer segmentation, customer profiling, and data mining
- Excellent written and oral communication skills; possessing the ability to convey complex information – simply and clearly – to senior business leaders.
- Knowledge of financial and reporting acumen with specific understanding of key drivers of credit card profit and loss.
- Ability to work in a fast-paced, dynamic environment.
- Ability to manage multiple projects and prioritize work requirements across a multi-disciplinary team setting.
Responsibilities
- Lead analytics for measuring, and optimizing our existing customer marketing investments and tactics across multiple channels
- Leverage our data to scale our ability to optimize the entire customer lifecycle, with a focus on spend engagement, deepening and retention for card business
- Understand and master a broad range of analytics capabilities (Test design, Modeling etc.) and how to best apply them to business problems
- Drive excellent practices and technical standards to support the development KPIs and goals for the card business, developing information suites (Dashboards, reports, visualizations) fit for C-level consumption
- Present findings and recommendations for action to senior leaders of the company, and support the individual contributors on your team to do the same for their work
- Partner closely with internal/external team to drive understanding of the data and its use in their business area and across line of business
Preferred Qualifications
- Masters in Science in quantitative discipline or MBA preferred