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Join us as a CRDU Operations Strategy Manager. At Barclays, our vision is clear –to redefine the future of banking and help craft innovative solutions. The overall purpose of the role for the loaned staff is to support the Reference Data team by acting as a techno-functional SME for Party and Legal Entity Reference Data, driving remediation efforts across issuer, counterparty, customer, and legal-entity hierarchies. The role involves close collaboration with Business, Operations, and IT teams to address data gaps, hierarchy mismatches, identifier issues, and lineage breaks. Additionally, the individual will partner with governance forums, regulatory, risk and control teams, and external vendors to ensure robust data standards, controls, lineage, and audit readiness. Responsibilities also include extracting and validating datasets from enterprise reference data platforms and downstream consumer systems to maintain data integrity and compliance.
Job Responsibility:
To extract meaningful insights from complex data sets, developing robust decision models, and presenting actionable recommendations to stakeholders across the departments
Identification and extraction of relevant data from various internal and external sources
Performing sensitivity analysis and scenario planning
Monitoring and evaluation of the performance of existing models
Development and implementation of data quality control procedures
Building and validation of quantitative models to support decision-making across different business areas
To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness
Collaborate closely with other functions/ business divisions
Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function
Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
Consult on complex issues
providing advice to People Leaders to support the resolution of escalated issues
Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda
Take ownership for managing risk and strengthening controls in relation to the work done
Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function
Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy
Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively
Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience
Influence or convince stakeholders to achieve outcomes
Requirements:
Experience developing and executing client/counterparty-driven operations strategies
Ability to create, maintain, and publish exception reports to support operational transparency
Capability to present and explain complex scenarios, data sets, and business insights to senior stakeholders with clarity and confidence
Experience collaborating with technology partners to design and implement improved workflows
Expertise in driving and proposing process improvements using data analysis, visualization, and industry best practices to enhance client data quality
Nice to have:
Ability to leverage external sources extensively for gathering entity information and troubleshoot complex, non-standard scenarios
Familiarity with tools and engines such as Quantexa, D&B, and Companies House for enhanced data validation and research
Experience managing and executing time-sensitive reporting requirements with accuracy and efficiency
Proficiency with tools like Alteryx, SQL, VBA, or data visualization platforms to support advanced analytics and workflow automation
Background in statistics, mathematics, computer science, or related scientific disciplines, combined with experience in senior-level stakeholder management
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