Data Analyst Job Vacancies At Barclays

Qualifications

Some other highly valued skills may include:

• Bachelor’s degree with Finance Major
• Practical knowledge on data analysis tools e.g. Advance Excel, PowerBI, SQL, SharePoint
• Deals comfortably with ambiguity – Stays on target to complete goals regardless of obstacles or adverse circumstances.

You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.

To be successful as a Credit risk data analyst, you should have experience with:

• Fair understanding of credit risk analysis workstream and domain knowledge of different Asset classes, gained through industry experience, along with extensive work done across credit risk projects.
• Strong knowledge of research and analyzing a different financial/research or other online reports from multiple domains to acquire data.
• Project Management, strong organizational and prioritization skills
• Ability to work with a strong attention to detail and efficiently in agile time pressured environment.
• Effective, clear communication skills, both written & oral.
• Working knowledge of MS Office tools preferably Excel (advance level), SharePoint, SQL.

Purpose of the Role:

To gather, analyse, and present risk data in a clear and concise manner to stakeholders across the organisation, facilitating informed decision-making, risk mitigation, and regulatory compliance.

Accountabilities:

• Development and maintenance of a variety of risk reports, including credit, market, operational, and liquidity risk reports, and regulatory reports.
• Extraction of risk data from various sources, including internal systems, risk models, and external market data feeds.
• Analysis of risk data to identify trends, patterns, and outliers, and assess the impact of risk exposures.
• Monitoring key risk indicators and metrics to identify emerging risks and track the effectiveness of risk mitigation strategies.
• Development and implementation of risk reporting improvements and automation initiatives.

Assistant Vice President Expectations:

• 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
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
• OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required 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.