Sr Associate - Cobrand Analytics

JPMC Candidate Experience page-posted 3 months ago
Full-time • Mid Level
Wilmington, DE
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As a Quant analytics senior associate within the Consumer and Community Banking Data & Analytics organization, you will support advanced analytics projects across various functions, channels, and products. You will play a crucial role in generating actionable insights to drive portfolio growth, inform product design and marketing tactics and enhance the customer experience. Additionally, you will consult with internal business partners, develop valuable business analyses, and promote strategic insights throughout the organization.

  • Collaborate with team of analysts responsible for analyzing, 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 co-brand partners
  • Understand and master a broad range of analytics capabilities (Test design, Modeling, NLP analysis, 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 co-brand internal/external team to drive understanding of the data and its use in their business area and across line of business
  • Bachelors in Science in a quantitative discipline - Statistics, Math, Finance, Economics, Operations Research, etc.
  • 3+ 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
  • 3+ years Knowledge of SQL and SAS required.
  • Exceptional analytical, technical, and statistical skill. Ability to synthesize/analyze diverse information, develop and recommend strategies, and make decisions.
  • Excellent written and oral communication skills; possessing the ability to convey complex information - simply and clearly - to senior business leaders.
  • Strong 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.
  • Masters in Science in quantitative discipline or MBA preferred.
  • Considerable background in consumer segmentation, customer profiling, and data mining
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