Staff Data Engineer focused on improving Counterparty Credit Risk management through advanced data engineering solutions and collaboration with financial stakeholders.
Responsibilities
Assess business requirement inputs such as sample datasets, business rules and develop solution options.
Collaborate with business stakeholders, the product owner, business analyst, architect, data engineers, and developers to deliver a holistic solution.
Assist in executing and advising on solution options and implementation.
Produce high-quality, sustainable solutions to meet business requirements, leveraging approved delivery frameworks and industry best practices.
Provide configuration, engineering, and support in the Counterparty Credit Risk application called Algo Credit Manager.
Learn how to use Algo Credit Manager to meet business objectives and support team members.
Contribute to domain planning and provide guidance to ensure technical deliveries align with engineering direction and strategy.
Stay updated on developments within financial markets, both in business and technological terms.
Requirements
Exposure and experience with financial markets and credit risk associated with retail, wholesale, markets and treasury products.
Commendable experience in consistently driving cost effective and technologically feasible solutions, while steering solution decisions across the group, to meet both operational and strategic goals.
Provides thought leadership and contributes to the design of technical solutions and consumption patterns, including data security and data management.
Responsible for technical governance, implementation, risk management and adoption for programs of work.
Provide technical leadership and mentor other engineers in Agile teams delivering project work or initiative.
Natural drive to educate, communicate and coordinate with different internal stakeholders and consultants.
Confident in building group data products or data assets from scratch, by integrating large sets of data derived from hundreds of internal and external sources.
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