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JPMorgan Quant Analytics Associate - Sales Science 
India, Karnataka, Bengaluru 
251241904

Yesterday

As a Quant Analytics Associate within the Consumer Banking Sales Science Analytics team, you will leverage a variety of analytical tools and methodologies to enhance banker and branch assignments. You will perform comprehensive analyses to maintain alignment with business goals and pinpoint opportunities for optimization.

Job Responsibilities:

  • Leverage a wide range of analytical tools and techniques to optimize banker and branch assignments.
  • Conduct thorough analyses to understand the implications of assignment strategies, ensuring alignment with business objectives and identifying opportunities for optimization.
  • Monitor and analyze experimental data to identify anomalies, trends, and patterns, and effectively assess the impact of banker and branch assignments.
  • Effectively communicate with project team members and stakeholders throughout the project lifecycle (status updates, gaps/risks, roadblocks, findings, etc.).
  • Create compelling visualizations and presentations that effectively convey complex data insights and strategic recommendations to stakeholders.

Required Qualifications, Capabilities, and Skills:

  • Bachelor’s or Master’s Degree in a quantitative discipline such as business, finance, economics, engineering, statistics, information systems, or mathematics with 5+ years of hands-on experience.
  • Expertise in SQL, Python/R, and Alteryx.
  • Experience with customer segmentation, profiling, clustering analysis, inferential statistics, data mining, and experimental design techniques.
  • Experience in wrangling large, complex datasets, strong database skills, and ability to write, optimize, and tune complex SQL scripts.
  • Strong problem-solving mindset and ability to think both independently and collaboratively to implement creative solutions that solve business problems.
  • Strong business acumen and ability to translate technical details, observations, and inferences into business language.
  • Self-motivated, goal-oriented, and able to deliver in an innovation-oriented and fast-paced environment.