Join us as
Financial Crime Data Analyst at Barclays, where you'll spearhead the evolution of our digital landscape driving innovation and excellence. You'll harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences.
To be successful as a
Financial Crime Data Analyst you should have experience with:
- Ability to perform business and data analysis alongside working with technology colleagues, developers and business stakeholders.
- Working experience on Agile methodologies like Scrum, Kanban or any other Agile framework.
- Working experience and knowledge on any Work Management tools Eg:JIRA.
- Working experience on any Banking domain.
- Ability to translate business requirements into technical stories.
- Solid written and verbal communication skills.
- Ability to be proactive, a team player.
You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.
This role is based out of Pune.
Barclays is required by law to confirm that you have the Legal Right to Work in any role that you apply for. If you currently hold a work visa sponsored by Barclays, or you would require sponsorship from Barclays, you must declare this as part of your application. Sponsored visas are role and entity specific and any changes must be reviewed. It is important that you ensure you are working on the correct visa at all times. Failure to accurately disclose your visa status or Legal Right to Work may result in your application or any employment offer being withdrawn at any time.
Purpose of the role
To implement data quality process and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organisation improve its operation, and optimise resources.
Accountabilities
- Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification.
- Execution of data cleansing and transformation tasks to prepare data for analysis.
- Designing and building data pipelines to automate data movement and processing.
- Development and application of advanced analytical techniques, including machine learning and AI, to solve complex business problems.
- Documentation of data quality findings and recommendations for improvement.
Assistant Vice President Expectations
- Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
- Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
- Take ownership for managing risk and strengthening controls in relation to the work done.
- Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
- Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
- Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
- Communicate complex information. Complex information could include sensitive information or information that is difficult to communicate because of its content or its audience.
- Influence or convince stakeholders to achieve outcomes.
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset to Empower, Challenge and Drive the operating manual for how we behave.
