Assistant Manager Fraud Analytics

About the role

Barclays is looking for an Assistant Manager Fraud Analytics in Gurugram, India, within the Group Economic Crime business area. The role uses data analytics and machine learning to extract insights from the bank's data, informing strategic decisions, improving operational efficiency and driving innovation. It sits in the Data & Analytics contract and is permanent.

Key responsibilities

• Implement data quality processes and procedures, then extract actionable insights to improve operations and optimise resources.
• Identify, collect and extract data from internal and external sources, and clean, wrangle and transform it.
• Build and maintain efficient data pipelines for automated data acquisition and processing.
• Design and run statistical and machine learning models to analyse patterns, trends and relationships.
• Develop predictive models to forecast outcomes and identify risks and opportunities.
• Work with business stakeholders to add value through data science.

Required profile

• Essential skills assessed: learning and development, leadership and people management, risk and controls, change and transformation, stakeholder management, business acumen, strategic thinking and data-driven decision making.
• Preferred: experience in data privacy, governance, reporting and risk management, preferably in financial services.
• Ability to lead and supervise a team, guide professional development and allocate work, or act as a technical advisor if the role is individual contributor.
• Legal right to work in India; the role may be subject to enhanced governance and additional regulatory and compliance obligations.

Required skills

• SQL, SAS, data analytics and reporting
• Building data pipelines to automate data movement and processing
• MS Office (PPT, Excel, Word, Visio); dashboard visualisation with Tableau or Power BI preferred
• Understanding of risk, governance and control frameworks, and data privacy policies and standards

The role is based in Gurugram. The application process includes a CV and cover letter, a behavioural assessment, an interview and further screening steps. Flexible working and hybrid working arrangements are discussed with the hiring manager.