Bengaluru, Karnataka, India
2 days ago
Quant Analytics - Associate (Sales Science Analytics)

Become an integral part of our Sales Science Analytics team! Each day will be unique – bring a positive attitude, entrepreneurial spirit and get ready to roll up your sleeves. This position is an essential part of the team and will have exposure to several aspects of running a banking office.

Job Summary: 

As a Quant Analytics at JPMorgan Chase within the Consumer & Community Banking- Data and Analytics, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

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 experimental data to identify anomalies, trends and patterns and opportunities for improvement Effectively communicate with project team members and sponsors throughout the project lifecycle (status updates, gaps/risks, roadblocks, findings, etc.) Develop visualization/ppt to summarize and communicate key findings to stakeholders.
 

Required qualifications, capabilities and skills:

Bachelor’s / Master's Degree in quantitative discipline such as business, finance, economics, engineering, statistics, information system, or mathematics  Minimum of 4 years of hands-on experience and expertise in SQL, Python/R, Alteryx is required Experience with customer segmentation, profiling, clustering analysis, inferential statistics, data mining, experimental design techniques Experience in wrangling large, complex datasets, strong database skills and ability to write, optimize and tune complex SQL scripts.  Experience delivering analytics solutions under strict timelines  Strong problem solving mindset and ability to think both independently and collaboratively to implement creative solutions that solve business problems, with attention to detail Strong business acumen and ability to translate technical details, observations and inferences into business language Self-motivated, goal-oriented, and able to manage and deliver in an innovation-operated and fast-paced environment.
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