AVP Fraud Analytics

About the Role

The AVP Fraud Analytics at Barclays will play a pivotal role in shaping the future by implementing data quality processes, extracting actionable insights, and optimizing operations. This role is based out of Gurugram.

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.

Key Responsibilities

• Identification, collection, and extraction of data from various sources, including internal and external sources.
• Performing data cleaning, wrangling, and transformation to ensure data quality and suitability for analysis.
• Development and maintenance of efficient data pipelines for automated data acquisition and processing.
• Design and conduct of statistical and machine learning models to analyze patterns, trends, and relationships in the data.
• Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities.
• Collaboration with business stakeholders to identify opportunities to add value from data through Data Science.
• Advising and influencing decision-making, contributing to policy development, and taking responsibility for operational effectiveness.
• Leading teams performing complex tasks, using well-developed professional knowledge and skills to deliver work that impacts the whole business function.
• Setting objectives, coaching employees, appraising performance, and determining reward outcomes.
• Leading collaborative assignments and guiding team members through structured assignments for individual contributors.
• Identifying the need for the inclusion of other areas of specialization to complete assignments.
• Identifying new directions for assignments and/or projects, combining cross-functional methodologies or practices to meet required outcomes.
• Consulting on complex issues and providing advice to People Leaders to support the resolution of escalated issues.
• Identifying ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
• Taking ownership for managing risk and strengthening controls in relation to the work done.
• Performing work closely related to other areas, requiring an understanding of how areas coordinate and contribute to organizational objectives.
• Collaborating with other areas of work and business-aligned support areas to stay updated with business activity and strategy.
• Engaging in complex analysis of data from multiple internal and external sources to solve problems creatively and effectively.
• Communicating complex information, which may include sensitive or difficult-to-communicate content or audiences.
• Influencing or convincing stakeholders to achieve outcomes.

Requirements & Tech Stack

• SQL
• SAS
• Data Analytics
• Reporting
• MS Office – PPT, Excel, Word & Visio
• Tableau/Power BI (Preferred)

Qualifications

• Expertise in SQL, SAS, Data Analytics and Reporting.
• Excellent communication and interpersonal skills to effectively communicate with stakeholders, build relationships, and present findings.
• Strong analytical skills to interpret complex data quickly and make informed decisions in a fast-paced environment.
• Proficiency in designing and building data pipelines to automate data movement and processing.
• Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification.
• Effective communication and presentation skills.
• Experience in Data Privacy, Governance, Reporting and Risk Management preferably in a financial services organisation.
• Comprehensive understanding of Risk, Governance and Control Frameworks and Processes.
• Understanding of Data Privacy Policies and Standards.
• Ability to analyze, interpret, and work robustly with others to identify issues and develop proposed solutions.
• Potential assessment on essential skills such as learning and development, leadership and people management, risk and controls, change and transformation, stakeholder management, business acumen, strategic thinking, and data-driven decision making.
• Demonstration of Barclays Values: Respect, Integrity, Service, Excellence, and Stewardship.
• Demonstration of Barclays Mindset: Empower, Challenge, and Drive.