Quantitative Research - CDO Data Solution Architect - Vice President
Quantitative Research - CDO Data Solution Architect - Vice President
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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 proofofconcept prototypes and shape the future of our data initiatives.
Job summary:
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 proofofconcept prototypes for crossLOB 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 onpremises data stores
- Integrate strategic data management tools into producer and consumer workflows
Required Qualifications Capabilities and Skills:
- You have bachelors or masters degree in Computer Science Engineering or related field
- You have 510 years of experience in Financial Services technology
- You have experience with data/technology projects in the Financial Services sector
- You demonstrate excellent Python programming skills
- You have proven experience as a Data Engineer or similar role
- You have ability to build and optimize data sets and big data pipelines
- You are familiar with cloud services like AWS Azure or GCP
- You demonstrate ability to work collaboratively across multiple technology teams
Preferred Qualifications Capabilities and Skills:
- You have prior experience with SellSide analytics platforms (Athena SecDB etc.
Required Experience:
Chief
Employment Type
Full-Time
