Client Data Analyst

3 days ago

Bengaluru, Karnataka, India JPMorgan Chase Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in Data Operations and partner with the Business.

Job Summary: 

As an Analyst in the Wholesale KYC Operations Data Solutions team, you will be part of a high performing team of data management professionals focused on delivering innovative data analytics solutions to KYC LOB stakeholders across Production, Regulatory & Controls. You will be responsible for delivering data & reporting commitments; developing strategies for effective data analysis and reporting; Selecting, configuring and implementing analytics solutions servicing a 3000+ WKO organization

Job Responsibilities:

  • Build systems and tools to transform raw data into actionable business insights and KYC committed relations by using AI/ML 
  • Build technology solutions to aggregate data and develop metrics using BI Tools like Alteryx, Tableau Business Object, Qlik sense etc.
  • Prepare company-wide metrics and relevant data sources; Select, configure & implement analytics solutions.
  • Deliver all analytics operations to correct discrepancies and ensure quality by data analytics using Python AI modeling.
  • Extract & transform data from multiple data sources i.e. Oracle Database / AWS data lakes / Peoplesoft data tables etc.
  • Collaborate with the LOB, Consumers, and Technology to deliver reporting needs for WKO consumers across Production Operational, Controls, Executive and Regulatory commitments.

Required qualifications, capabilities, and skills:

  • A bachelor's degree is required; 
  • 2+ years' experience with an experience in Applied AI, Data & transformation, Business Analytics experience is key. 
  • Strong analytical / critical thinking and problem-solving skills; able to develop and clearly present drawn conclusions & potential solutions with consideration to inherent risks
  • Exposure and experience in data interrogation tools:  Python, SQL, Alteryx, Qliksense, Tableau, ThoughtSpot etc 
  • Ability to multi-task, work under tight deadlines, and quickly adjust to changing priorities
  • Capability to work both independently with strong follow through and adapt to team environment 
  • Highly energetic self-starter with a focus on obtaining result

Preferred qualifications, capabilities, and skills:

  • Qualified Computer Science, Statistics, Data Management or a related field is a preference
  • Focus in the Applied AI / Data Analytics space highly preferred
  • Subject Matter Expertise across KYC, AML & Client Reference Data is a plus
  • Apply institutional knowledge from the KYC Operations and Reference Data industry is a preference

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