Fraud Analytics - Data Scientist

## Review: Data Scientist at Barclays - Shape the Future of Digital Banking Barclays is seeking a talented Data Scientist to join their dynamic team, offering a significant opportunity to impact the evolution of the bank's digital landscape. This role is for ambitious professionals eager to leverage cutting-edge data analytics and machine learning techniques to enhance fraud detection and drive operational excellence. If you're passionate about using data to protect clients and innovate within a leading financial institution, this position warrants your serious consideration. ### Advantages for Candidates: * Impactful Work: You will be at the forefront of protecting clients by developing and refining fraud detection systems, a critical function for any major bank. Your contributions will directly enhance security and trust. * Innovation and Growth: This role offers the chance to lead the evolution of Barclays' digital landscape, providing ample opportunities for innovation and professional development in a fast-paced environment. * Data-Rich Environment: Access to "bank's data reserves" signifies a wealth of complex data, presenting a stimulating challenge for skilled data scientists looking to apply and expand their expertise. * Strategic Influence: As a Data Scientist at this level, you will not just analyze data but also advise and influence decision-making, contribute to policy development, and drive strategic initiatives across the organization. * Career Progression: The description hints at leadership potential, with expectations for guiding teams and coaching employees. This suggests a clear path for career advancement within Barclays. * Flexible Location: The option to be based in either Glasgow or Northampton provides flexibility for candidates seeking to align their career with their preferred living environment. ### Key Considerations for Your Career Path: * Technical Prowess: The foundational requirements are clear: strong proficiency in languages like **SAS or Python** and hands-on experience with **large and complex datasets**. Candidates must possess a robust technical skillset. * Fraud Domain Expertise: A **strong knowledge of fraud detection systems** is paramount. If your experience in this specific domain is developing, actively seeking out projects or learning resources in fraud analytics will be highly beneficial. * Statistical and Mathematical Foundation: While not strictly mandatory, a background in **statistics or mathematics** is highly valued. This suggests a preference for candidates with a strong theoretical understanding to complement their practical application of data science techniques. * Business Acumen: Beyond technical skills, Barclays emphasizes critical success factors like **risk and controls, change and transformation, business acumen, strategic thinking, and digital and technology**. Cultivating these broader business skills will be key to excelling and advancing in this role. * Collaborative Approach: The role necessitates close collaboration with business stakeholders and other functions. The ability to translate complex data insights into actionable recommendations for non-technical audiences is crucial. * Leadership Potential: For those aspiring to leadership, the "Assistant Vice President Expectations" section outlines clear responsibilities. Understanding and demonstrating the **LEAD behaviours** (Listen and be authentic, Energise and inspire, Align across the enterprise, Develop others) will be critical for those looking to manage teams. Individual contributors will be expected to lead collaborative assignments and guide team members. In conclusion, this Data Scientist position at Barclays offers a compelling opportunity for experienced professionals to make a tangible impact within a reputable financial institution. By focusing on the required technical skills, developing expertise in fraud detection, and cultivating strong business acumen, candidates can position themselves for success and significant career growth in this influential role.