Role Title: Data Modeller/Architect Duration: contract to run until 31/12/2025 Location: London, hybrid 2/3 days per week onsite Rate: up to £483 p/d Umbrella inside IR35 Role purpose / summary Significant experience in data architecture or enterprise data modelling, ideally at a major bank or investment bank.
Check out the role overview below If you are confident you have got the right skills and experience, apply today.
A great understanding of banking products, risk frameworks, regulatory data requirements and financial markets data.
Expertise in data modelling tools and frameworks with previous experience scaling models across global functions Key Skills/ requirements Design and Development: Create and implement data architecture, including data models, databases, data warehouses, tailored for capital markets operations and analytics.
Data Governance & Quality: Establish and enforce data governance policies, data lineage standards, and data quality frameworks to ensure the integrity, accuracy, and security of financial data.
Technology Selection: Identify, evaluate, and implement suitable data technologies and cloud platforms (optional) to support data storage, processing, and analysis.
Data Integration: Define strategies for integrating data from various sources, ensuring interoperability between different capital markets systems.
Stakeholder Collaboration: Work closely with other Data Domains, analysts, technical teams to understand data requirements and align data strategy with business objectives.
Regulatory Compliance: Ensure that the data architecture and policies comply with relevant financial regulations and standards.
Strategic Thinking: Develop a long-term data vision and roadmap that supports the evolving needs of capital markets firms.
Skills Required Technical Expertise: Proficiency in data modelling, database design, SQL, Python, Kafka(optional), and experience with ETL tools and cloud data platforms.
Data Management: Strong knowledge of data warehousing solutions.
Capital Markets Knowledge: Understanding of the specific data requirements, challenges, and regulatory landscape within the capital markets sector.
Communication: Excellent communication skills to translate complex technical concepts into clear, actionable insights for both technical and non-technical stakeholders.
Leadership: Ability to provide technical leadership, mentor teams, and foster a collaborative, data-driven culture.
All profiles will be reviewed against the required skills and experience.
Due to the high number of applications we will only be able to respond to successful applicants in the first instance.
We thank you for your interest and the time taken to apply!d02fcfcb-6df4-40ee-95cf-3eb059ce3173