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Engaged Employer

JPMorgan Chase & Co.

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4.1

based on 5.7k Reviews

Proud winner of ABECA 2024 - AmbitionBox Employee Choice Awards

Top Rated Mega Company - 2024

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563 JPMorgan Chase & Co. Jobs

Quant Analytics - Associate (Sales Science Analytics)

JPMorgan Chase

4.1

based on 5.7k Reviews

4-6 years

Bangalore / Bengaluru

1 vacancy

Quant Analytics - Associate (Sales Science Analytics)

JPMorgan Chase & Co.

posted 9d ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analytics Python SQL Statistics Analytical Chemistry Database Management

+ 4 more

Job Description

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 / Masters 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.

Employment Type: Full Time, Permanent

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