Quantitative Research - CDO Data Solution Architect - Vice President | London, UK

Quantitative Research - CDO Data Solution Architect - Vice President

Company: JPMorgan Chase & Co. London, United Kingdom

Job Description

Are you passionate about data architecture and innovation? Join us as a Data Solutions Architect to bridge our Chief Data Office and Technology teams, designing advanced tooling to support our Markets Data Strategy. Lead the development of proof-of-concept prototypes and shape the future of our data initiatives.

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. Join us to drive data strategy through innovative solutions.

In this role, you will focus on automating data lineage registration and data quality monitoring. You will work with various technical teams to integrate strategic data management tools into workflows, enhancing our data management capabilities. If you have a strong background in data architecture and a passion for innovation, we invite you to join our team and make a significant impact on our data strategy.

Job Responsibilities:

• 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

Required Qualifications, Capabilities, and Skills:

• 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
• Familiarity with cloud services like AWS, Azure, or GCP
• Ability to work collaboratively across multiple technology teams

Preferred Qualifications, Capabilities, and Skills:

• Prior experience with Sell-Side analytics platforms (Athena, SecDB, etc.)

About Us

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. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law.

About the Team

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services, and payments. Corporations, governments, and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk, and extends liquidity in markets around the world.