About the Company
HSBC is one of the world’s largest banking and financial services organizations. We serve more than 40 million customers worldwide through a network that covers 64 countries and territories. In Manchester, our teams are at the forefront of innovation, driving digital transformation and leveraging advanced technologies like AI to protect our customers and operations. Join us in shaping the future of banking in a dynamic and supportive environment.
Job Description
Are you meticulous, detail-oriented, and passionate about fighting financial crime? HSBC is seeking a dedicated Anti-Fraud Data Labeler to join our innovative AI team in Manchester. In this crucial role, you will be responsible for accurately labeling large datasets related to financial transactions and customer behaviors, directly contributing to the development and refinement of our state-of-the-art AI-driven fraud detection systems. Your work will directly impact our ability to identify and prevent fraudulent activities, safeguarding our customers and assets. This is an exciting opportunity to be at the heart of our financial crime prevention efforts, working with cutting-edge technology in a fast-paced banking environment.
Key Responsibilities
- Accurately review and categorize financial transaction data, customer profiles, and other relevant information for potential fraud indicators.
- Apply predefined labeling guidelines and rules with consistency to ensure high data quality for AI model training.
- Collaborate with data scientists and AI engineers to understand labeling requirements and provide feedback on data patterns.
- Identify and escalate complex or ambiguous data labeling cases for further review.
- Maintain confidentiality and adhere to strict data security protocols.
Required Skills
- Exceptional attention to detail and accuracy.
- Strong analytical and problem-solving skills.
- Proficiency in using data entry and annotation tools.
- Ability to work independently and as part of a team.
- Basic understanding of financial transactions or banking operations.
- Excellent communication skills (written and verbal).
Preferred Qualifications
- Previous experience in data labeling, data entry, or quality assurance roles.
- Familiarity with anti-fraud concepts or financial crime prevention.
- Basic knowledge of AI/Machine Learning concepts.
- Degree or equivalent experience in a related field (e.g., Finance, Economics, Data Science).
Perks & Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health and wellness benefits package.
- Generous paid time off and flexible working arrangements.
- Pension scheme with company contributions.
- Opportunities for professional development and career growth within a global organization.
- Employee discounts on banking products and services.
- Vibrant and inclusive office environment in Spinningfields.
How to Apply
If you are interested in this position, please click the "Apply Now" button below. To ensure your application is properly considered, please prepare the following:
- An up-to-date Resume or CV
- A brief cover letter summarizing your experience and motivation
Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted for an interview.
⚠️ Important Disclaimer
Welcome to Westford Trust. We publish job opportunities aggregated from public sources, employers, and job portals. We never charge any fees to access or use our website; all information is provided entirely for free.
Westford Trust does not directly offer or manage these positions, nor are we directly involved in the hiring process for the vacancies published on https://jobs.westfordtrust.com.
If you suspect a fraudulent listing or have any questions, please contact us at techturna@gmail.com.