Description
We are seeking a Senior Risk Data Modeller to join our team at Barclays, where you will lead the design and delivery of risk data solutions, ensuring high-quality, scalable, and controlled data to support regulatory calculations, reporting, and strategic decision-making.
The purpose of this role is to build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses, and data lakes to ensure that all data is accurate, accessible, and secure.
Key responsibilities include:
- Building and maintaining data architectures and pipelines that enable the transfer and processing of durable, complete, and consistent data
- Designing and implementing data warehouses and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures
- Developing processing and analysis algorithms fit for the intended data complexity and volumes
- Collaborating with data scientists to build and deploy machine learning models
As a Senior Risk Data Modeller, you will be expected to:
- Contribute to or set strategy, drive requirements, and make recommendations for change
- Plan resources, budgets, and policies; manage and maintain policies/processes; deliver continuous improvements and escalate breaches of policies/procedures
- Demonstrate comprehensive understanding of the organisation's functions to contribute to achieving the goals of the business
- Collaborate with other areas of work, for business-aligned support areas to keep up to speed with business activity and the business strategies
- Create solutions based on sophisticated analytical thought, comparing and selecting complex alternatives
- Adopt and include the outcomes of extensive research in problem-solving processes
- Seek out, build, and maintain trusting relationships and partnerships with internal and external stakeholders
The ideal candidate will have:
- Extensive experience within Financial Services, with a background in Risk
- Proven delivery of regulatory initiatives, including Stress Testing and FRTB
- Hands-on experience modelling complex upstream and calculated risk data
- Experience working within Agile delivery environments
- Knowledge of either FX, Interest Rates, Credit, or Equities
- Experience collaborating with technology teams using tools such as Python and Git