Consumer Analytics Senior Associate

J.P. Morgan Consumer Analytics Team is the center of excellence for strategic and data analytics for International Consumer Retail and SME lending business. The team is responsible for measuring the effectiveness of and driving International Consumer Bank strategies across marketing, sales, distribution, pricing, and customer analytics.

The results and learnings from these analyses, which seek to quantify both statistical and practical significance, are used to drive future strategy using a full suite of analytical techniques. The team offers significant learning and mobility opportunities for career development and future growth.

We are looking for a Consumer Analytics Senior Associate to have the following job responsibilities,

Job Responsibilities:

• Analyze and measure the effectiveness of lending strategies including performance of marketing campaigns or customer segmentation
• Work with credit risk team to optimize the credit risk strategies for the lending products
• Consult with business partners on analytical needs and make strategy recommendations
• Solve unstructured business problems and develop deep dive analysis of customer behavior using multiple analytics and statistical techniques.
• Interpret results and present to stakeholders and senior management
• Continuously develop skills to provide best-in-class analytics to the business

Required qualifications, skills and capabilities:

• Bachelor’s and Master’s degree in a quantitative discipline (Data Science/Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance or related fields)
• Strong knowledge and experience in retail lending such as credit cards, personal loan, or overdraft products.
• Thought leader in data science and analytics who can define analytical agenda for projects, demonstrates ability to frame ambiguous business questions into analytical plans (e.g., assessing data needs, sourcing files, preparing data, creating new features, evaluating quality, etc.), and executes with precision
• Knowledge of modern data mining, quantitative research, and data science techniques (e.g., decision trees, regressions, machine learning, string similarity, behavioral analytics, look-a-like models)
• 4+ years of experience with SQL, Hive, Hadoop, Spark, Python
• 4+ years of experience in applying statistical methods to real world problems
• Superior written, oral communication and presentation skills with experience communicating concisely and effectively with all levels of management and partners