Insights and Automation - Fraud (Data & Analytics)

About the role

Barclays is looking for a Data & Analytics professional for its Insights and Automation - Fraud team in Noida, India, within the Group Economic Crime business. The role sits in the Data & Analytics area of expertise and is permanent. Its purpose is to implement data quality processes and procedures so that data is reliable and trustworthy, then extract actionable insights to improve operations and optimise resources.

Key responsibilities

• Investigate and analyse data issues related to quality, lineage, controls and identification of authoritative data sources.
• Carry out data cleansing and transformation to prepare data for analysis.
• Design and build data pipelines to automate data movement and processing.
• Apply advanced analytical techniques, including machine learning and AI, to solve complex business problems.
• Document data quality findings and recommendations for improvement.
• Lead and supervise a team, guide professional development, allocate work and coordinate resources, and partner with other functions and business areas.

Required profile

• Experience investigating and resolving data issues, including data quality, lineage, controls and authoritative data sources.
• Prior experience with GitLab is preferred, including familiarity with repository-based development and collaboration workflows.
• Ability to interpret complex data, make informed decisions quickly and communicate analytical findings clearly to stakeholders.
• Legal right to work in India; applicants holding a Barclays-sponsored visa or needing sponsorship must declare it.

Required skills

• Strong expertise in SQL, SAS/Python, data analytics and reporting.
• Ability to identify automation opportunities and use AI tools such as Copilot and GitLab Duo.
• Knowledge of risk and controls, business acumen, strategic thinking and digital and technology skills.

The role is based in Noida. Barclays offers a hybrid working model with fixed anchor days at an onsite location, and flexible working arrangements can be discussed with the hiring manager. The application process includes a CV and cover letter, a behavioural assessment, an interview and further screening steps.