Jobs

Quantitative Research - CDO Data Solution Architect - VicePresident


Job details
  • J.P. Morgan
  • London
  • 1 day ago

Are you passionate about data architecture andinnovation? Join us as a Data Solutions Architect to bridge ourChief Data Office and Technology teams, designing advanced toolingto support our Markets Data Strategy. Lead the development ofproof-of-concept prototypes and shape the future of our datainitiatives. Job summary: As a Data Solutions Architect withinQuantitative Research, you will play a crucial role in designingand promoting the adoption of advanced data tooling. You willprototype technical patterns for implementing Markets DataStandards 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.Join us to drive data strategy through innovative solutions. Inthis role, you will focus on automating data lineage registrationand data quality monitoring. You will work with various technicalteams to integrate strategic data management tools into workflows,enhancing our data management capabilities. If you have a strongbackground in data architecture and a passion for innovation, weinvite you to join our team and make a significant impact on ourdata strategy. Job Responsibilities: * Act as a bridge between theChief Data Office and Technology teams * Design and promote theadoption of tooling to support the Markets Data Strategy * Developproof-of-concept prototypes for cross-LOB priority data productsPrototype technical patterns for Markets Data Standardsimplementation * Automate data lineage registration and dataquality monitoring * Provide guidance on data patterns usage withinMarkets * Prioritize technology data tooling deliveries supportingMarkets * Ensure integration with data and analytics platforms andon-premises data stores * Integrate strategic data management toolsinto producer and consumer workflows Required Qualifications,Capabilities, and Skills: * You have bachelor’s or master’s degreein Computer Science, Engineering, or related field * You have 5-10years of experience in Financial Services technology * You haveexperience with data/technology projects in the Financial Servicessector * You demonstrate excellent Python programming skills * Youhave proven experience as a Data Engineer or similar role * Youhave ability to build and optimize data sets and big data pipelinesYou are familiar with cloud services like AWS, Azure, or GCP *You demonstrate ability to work collaboratively across multipletechnology teams Preferred Qualifications, Capabilities, andSkills: * You have prior experience with Sell-Side analyticsplatforms (Athena, SecDB, etc.) J-18808-Ljbffr

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