JPMorgan Quant Analytics Associate Senior- Sales Science 

India, Karnataka, Bengaluru 

870399166

As a Quant Analytics Associate Senior within the Data and Analytics team, you will leverage a wide range of analytical tools and techniques to solve business problems with the objective to optimize banker performance. You will work collaboratively to derive actionable insights from large datasets, contributing to the firm's success.

Job Responsibilities:

• Leverage a wide range of analytical tools and techniques to solve business problems with the objective to optimize banker performance and behavior.
• Use advanced quantitative techniques on large datasets to identify trends and patterns and derive actionable insights.
• Monitor and analyze data to identify anomalies, trends, and patterns and present action-oriented recommendations.
• Effectively communicate with project team members and sponsors throughout the project lifecycle (status updates, gaps/risks, roadblocks, findings, etc.).
• Develop visualizations and presentations to summarize and communicate key findings to stakeholders.
• Actively contribute innovative ideas and continuously strive to upskill and learn new technologies.

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 minimum 7 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 demonstrated experience in delivering business outcomes.
• Demonstrated 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.