Job Description

Purpose of the role

To enable data-driven strategic and operational decision making through extracting actionable insights from large datasets, performing statistical and advanced analytics to uncover trends and patterns, and presenting findings through clear visualisations and reports.

Accountabilities

• Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification, documenting data sources, methodologies, and quality findings with recommendations for improvement. 
• Designing and building data pipelines to automate data movement and processing.
• Apply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and translate insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI.
• Through data-driven analysis, translate analytical findings into actionable business recommendations, identifying opportunities for operational and process improvements.
• Design and create interactive dashboards and visual reports using applicable tools and automate reporting processes for regular and ad-hoc stakeholder needs. 

Analyst Expectations

• To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.
• Requires in-depth technical knowledge and experience in their assigned area of expertise
• Thorough understanding of the underlying principles and concepts within the area of expertise
• They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.
• 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 develop technical expertise in work area, acting as an advisor where appropriate.
• 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.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Embark on a transformative journey as a Fraud Analyst. At Barclays, our vision is clear –to redefine the future of banking and help craft innovative solutions. This role may be a fit for you if you are interested in joining a dynamic data and analytics team supporting the fraud function for the cards and deposits businesses at Barclays. You will be part of a global analytics team that manages authentication and money-movement fraud rules and models to optimize the effectiveness of fraud strategies and policies while driving significant impact to the fraud business.

To be successful as a Fraud Analyst, you should have:

• Background in data analytics, data engineering, statistics, data science, information management, or related analytical disciplines

• Experience utilizing SQL, SAS, Unix, Oracle, and other data analysis tools to extract, analyze, and interpret complex datasets

• Proven ability to perform data-driven and statistical analysis to support fraud strategy development, risk assessment, and fraud loss reduction

• Knowledge in leveraging analytics to enhance fraud detection capabilities, optimize risk systems, and improve operational performance

• Experience collaborating with technical teams, business partners, and key stakeholders to enhance existing tools, processes, and business outcomes

Some other highly valued skills may include:

• Experience with AI, machine-learning, Python, Databricks and data visualization tools, such as Tableau is a plus

• Ability to partner with data engineering teams to support the design, optimization and scalability of data models, warehouses, and ETL pipelines

• Experience with data and strategy governance and controls to ensure proper documentation, risk ratings and controls are in place for all rule and model executions

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

This role is located in Wilmington, DE.