Quantitative Research - CDO Data Solution Architect - Vice President

TN United Kingdom; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a Data Solutions Architect to innovate and enhance data architecture. This role involves bridging the Chief Data Office and Technology teams, focusing on advanced tooling to support the Markets Data Strategy. You will lead the development of prototypes and ensure seamless integration with data platforms. If you are passionate about data architecture and possess a strong background in Financial Services technology, this is your chance to make a significant impact on data initiatives. Join a dynamic team and help shape the future of data management through innovative solutions.

Qualifications

• 5-10 years of experience in Financial Services technology.
• Proven ability to build and optimize data sets and pipelines.

Responsibilities

• Act as a bridge between Chief Data Office and Technology teams.
• Design and promote tooling to support Markets Data Strategy.
• Automate data lineage registration and quality monitoring.

Skills

Data Architecture

Data Engineering

Collaboration

Data Quality Monitoring

Data Lineage Registration

Cloud Services (AWS, Azure, GCP)

Big Data Pipelines

Education

Bachelor’s or Master’s in Computer Science

Engineering or related field

Tools

Athena

SecDB

Job description

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

Client:

Location:

London, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

Job Reference:

bcbdc4dfc3ee

Job Views:

6

Posted:

06.04.2025

Expiry Date:

21.05.2025

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
• 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
• Demonstrated ability to work collaboratively across multiple technology teams

Preferred Qualifications, Capabilities, and Skills:

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