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

Design and promote the adoption of tooling to support the Markets Data StrategyDevelop proof-of-concept prototypes for cross-LOB priority data productsPrototype technical patterns for Markets Data Standards implementationAutomate data lineage registration and data quality monitoringProvide guidance on data patterns usage within MarketsEnsure integration with data and analytics platforms and on-premises data storesIntegrate 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 field2-5 years of experience in Financial Services technologyExperience with data/technology projects in the Financial Services sectorExcellent Python programming skillsProven experience as a Data Engineer or similar roleAbility to build and optimize data sets and 'big data' pipelinesFamiliar with cloud services like AWS, Azure, or GCPAbility to work collaboratively across multiple technology teams

Preferred Qualifications, Capabilities, and Skills

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