Senior Client Reference Data Analyst

Join us as Senior Client Reference Data Analyst at Barclays, where you will work with both Regulatory and Non-Regulatory critical data elements. This role involves conducting data analysis and processing transactions that affect the creation of Entity records and requires thorough review and investigation on different entity resolution platforms to resolve any identified data quality problems.

In this role, you may be assessed on key critical skills required for success, such as :

• Understanding of CIB structure required

• Experience in Reference Data Services, Entity /account opening & Closure, Corporate Action, Related Parties

• Should be able to work without/minimum instructions to deliver deliverables assigned within strict deadlines.

• Creating, Maintaining & publishing exception reports

• Ability to own, present & explain complex scenarios/data sets & business insights to senior stakeholders.

• Ability to perform RCA based on data to drive meaningful conclusions within deadlines.

• Strong understanding of controls, should be able to identify control gaps and make meaningful recommendations to address control gaps.

• Should be able to contribute on strategic initiatives and bring domain knowledge to implementation.

• Exposure to extensive usage of external sources to gather entity information & ability to trouble shoot out of box scenarios. Exposure to tools/engines like Quantexa, D&B, Company House would be added advantage.

Purpose of the role

To implement data quality process and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organisation improve its operation, and optimise resources.

Accountabilities

• Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification.
• Execution of data cleansing and transformation tasks to prepare data for analysis.
• Designing and building data pipelines to automate data movement and processing.
• Development and application of advanced analytical techniques, including machine learning and AI, to solve complex business problems.
• Documentation of data quality findings and recommendations for improvement.

Analyst Expectations

• Will have an impact on the work of related teams within the area.
• Partner with other functions and business areas.
• Takes responsibility for end results of a team s operational processing and activities.
• Escalate breaches of policies / procedure appropriately.
• Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.
• Advise and influence decision making within own area of expertise.
• Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct.
• Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function.
• Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Make evaluative judgements based on the analysis of factual information, paying attention to detail.
• Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.
• Guide and persuade team members and communicate complex / sensitive information.
• Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.