Quant Analyst Regulatory Operations Tableau Python UI Path
Quant Analyst Regulatory Operations Tableau Python UI Path
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Job Description
Join JPMorgan Chases Regulatory Operations Analytics team and make a direct impact on client data integrity.
As a Quant Analyst within the Regulatory Operations Analytics team you will create and manage precise client data impacting books and records. You will analyze business problems design and implement solutions using Alteryx Python SAS or other suitable tools. You will translate data into meaningful business information and execute data analysis to support critical business decisions.
Job Responsibilities:
- Be an analytical thinker with excellent data analysis skills and ability to project outcomes. Background in data analytics & automation is a plus
- Analyze and evaluate issues and form decisions quickly and objectively
- Synthesize data into actionable insights and effectively communicate to all levels of management
- Possess attention to detail is required specifically in terms of analytic rigor and output to eliminate the need for rework
- Operate in a self-directed manner; must have a strong desire to take the initiative to deliver superior results with urgency
- Perform root cause analysis independently
- Understand data infrastructure in a Financial Services organization
- Work alongside teams within the business or the management team to establish business needs
- Possess technical skills including Excel Word and PowerPoint for quicker navigations and leadership presentations and quick reviews/analysis
Required qualifications capabilities and skills:
- Minimum 3 years of relatable experience
- Knowledge of Digital Tools such as Tableau UI Path& Python
- Effective communication skills with Alteryx CORE certification and hands-on experience. Should have an understanding on Python SAS & Tableau
- Attention to Details and optimal accuracy rate in processing critical request
- Ability to understand bespoke activities and report accordingly
Required Experience:
IC
Employment Type
Full-Time
