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Lead Data Architect

JPMorganChase is one of the oldest financial institutions offering innovative financial solutions to consumers, businesses and institutions under the J.P. Morgan and Chase brands.
Data
Staff Software Engineer
In-Person
5,000+ Employees
5+ years of experience
Finance · Enterprise SaaS
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Description For Lead Data Architect

We know that people want great value combined with an excellent experience from a bank they can trust, so we launched our digital bank, Chase UK, to revolutionize mobile banking with seamless journeys that our customers love. We're already trusted by millions in the US and we're quickly catching up in the UK – but how we do things here is a little different. We're building the bank of the future from scratch, channeling our start-up mentality every step of the way – meaning you'll have the opportunity to make a real impact.

As a Lead Data Architect - Data Scientist at JPMorgan Chase within the International Consumer Bank, you will be a part of a flat-structure organization. Your responsibilities are to deliver end-to-end cutting-edge solutions in the form of cloud-native microservices architecture applications leveraging the latest technologies and the best industry practices. You are expected to be involved in the design and architecture of the solutions while also focusing on the entire SDLC lifecycle stages.

Our Business Analytics team is at the heart of this venture, focused on getting smart ideas into the hands of our customers. We're looking for people who have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By their nature, our people are also solution-oriented, commercially savvy and have a head for fintech.

Key Responsibilities:

  • Collaborate with business partners and domain experts to understand business problems
  • Provide stakeholders with timely and accurate reporting
  • Perform analysis using diverse data sources for actionable insights
  • Present findings with effective visualizations
  • Work with data engineers to optimize business processes
  • Identify new opportunities using data

Required Skills:

  • 5+ years experience in Data Analysis with Python
  • Advanced SQL skills
  • Experience with big data analytics
  • Customer analytics expertise
  • Strong business acumen
  • Agile environment experience
  • Excellent communication skills

This role offers an opportunity to shape the future of digital banking while working with cutting-edge technologies in a dynamic, collaborative environment. Join us in revolutionizing mobile banking and making a real impact in the fintech space.

Last updated a month ago

Responsibilities For Lead Data Architect

  • Collaborating with business partners, research teams and domain experts to understand business problems
  • Providing stakeholders with timely and accurate reporting
  • Performing ad hoc analysis based on diverse data sources
  • Presenting findings with effective visualizations
  • Collaborating with data engineers and ML engineers to optimize business processes
  • Identifying unexplored opportunities using data

Requirements For Lead Data Architect

Python
  • Formal training or certification in Data Analysis using Python and 5+ years applied experience
  • Advanced SQL querying skills
  • Experience in analyzing big data and statistics
  • Experience with customer analytics
  • Ability to understand business context and opportunities in data
  • Ability to work in dynamic, agile environment
  • Excellent written and verbal communication skills in English

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