Fraud Data Scientist

Purpose of the role: To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation.

• Identify, collect, and extract data from various sources, including internal and external sources.
• Perform data cleaning, wrangling, and transformation to ensure quality and suitability for analysis.
• Design and maintain efficient data pipelines for automated data acquisition and processing.
• Design and conduct statistical and machine learning models to analyse patterns, trends, and relationships in the data.
• Develop and implement predictive models to forecast future outcomes and identify potential risks and opportunities.
• Collaborate with business stakeholders to identify opportunities to add value from data through Data Science.

• Perform prescribed activities in a timely manner and to a high standard, consistently driving continuous improvement.
• Demonstrate in-depth technical knowledge and experience within the assigned area of expertise; have a thorough understanding of underlying principles.
• Lead and supervise a team, guiding and supporting professional development, allocating work requirements, and coordinating team resources.
• Demonstrate leadership behaviours where applicable: Listen and be authentic, Energise and inspire, Align across the enterprise, Develop others. For individual contributors, develop technical expertise and act as an advisor where appropriate.
• Take responsibility for end results of a team's operational processing and activities. Escalate breaches of policies/procedures appropriately. Embed new policies/procedures adopted due to risk mitigation.
• Advise and influence decision making within own area of expertise; manage risk and strengthen controls related to your work.
• Deliver work in line with rules, regulations, and codes of conduct; understand how your sub-function integrates with the broader organisation.
• Make evaluative judgments based on analysis of factual information and detail-oriented problem solving guided by precedents.
• Guide and persuade team members and communicate complex or sensitive information. Act as a point of contact for stakeholders outside the immediate function and build networks outside the team and organisation.
• Demonstrate Barclays Values of Respect, Integrity, Service, Excellence and Stewardship, and embody the Barclays Mindset to Empower, Challenge and Drive.

• Fraud Data Scientist at Barclays: responsible for the development and enhancement of fraud detection systems. Apply advanced analytical methods and data-driven approaches to improve the ability to detect and prevent fraud across banking products and services.
• Collaborate with other experts to stay ahead of fraud risks.
• Location: Northampton office.

• A Degree in Mathematics, Statistics, Computer Science, or a related field (or equivalent work experience).
• Experience in fraud detection, scam prevention, or cybersecurity, ideally in a financial services or banking environment.
• Proficiency in data analysis with hands-on experience using Python, R, SQL, and machine learning frameworks.
• Ability to assess key critical skills relevant for success in role, including risk and controls, change and transformation, business acumen, strategic thinking, and digital/technology competencies.