Quantitative Research - CDO Data Solution Architect - Vice President

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors.
Data
Staff Software Engineer
In-Person
5,000+ Employees
5+ years of experience
Finance

Description For Quantitative Research - CDO Data Solution Architect - Vice President

Are you passionate about data architecture and innovation? Join JPMorgan Chase & Co. as a Data Solutions Architect to bridge our Chief Data Office and Technology teams, designing advanced tooling to support our Markets Data Strategy.

As a Data Solutions Architect within Quantitative Research, you will play a crucial role in designing and promoting the adoption of advanced data tooling. You will prototype technical patterns for implementing Markets Data Standards and provide expert guidance on data usage within Markets. Your work will prioritize the delivery of technology data tooling, ensuring seamless integration with data and analytics platforms.

In this role, you will focus on automating data lineage registration and data quality monitoring, working with various technical teams to integrate strategic data management tools into workflows. You'll be part of J.P. Morgan's Commercial & Investment Bank, a global leader across banking, markets, securities services and payments, serving corporations, governments and institutions worldwide.

Key Responsibilities:

  • Bridge Chief Data Office and Technology teams
  • Design and promote data tooling adoption
  • Develop proof-of-concept prototypes
  • Automate data lineage and quality monitoring
  • Provide technical guidance on data patterns

Required Skills:

  • 5-10 years Financial Services technology experience
  • Strong Python programming skills
  • Data Engineering expertise
  • Cloud services knowledge (AWS/Azure/GCP)
  • Collaborative mindset

Join our team to drive data strategy through innovative solutions and make a significant impact on our global financial services platform. We offer a dynamic environment where you can grow your career while working with cutting-edge technology and talented professionals.

Last updated 2 hours ago

Responsibilities For Quantitative Research - CDO Data Solution Architect - Vice President

  • Act as a bridge between the Chief Data Office and Technology teams
  • Design and promote the adoption of tooling to support the Markets Data Strategy
  • Develop proof-of-concept prototypes for cross-LOB priority data products
  • Prototype technical patterns for Markets Data Standards implementation
  • Automate data lineage registration and data quality monitoring
  • Provide guidance on data patterns usage within Markets
  • Prioritize technology data tooling deliveries supporting Markets
  • Ensure integration with data and analytics platforms and on-premises data stores
  • Integrate strategic data management tools into producer and consumer workflows

Requirements For Quantitative Research - CDO Data Solution Architect - Vice President

Python
  • Bachelor's or master's degree in Computer Science, Engineering, or related field
  • 5-10 years of experience in Financial Services technology
  • Experience with data/technology projects in the Financial Services sector
  • Excellent Python programming skills
  • Proven experience as a Data Engineer or similar role
  • Ability to build and optimize data sets and 'big data' pipelines
  • Familiar with cloud services like AWS, Azure, or GCP
  • Ability to work collaboratively across multiple technology teams

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