About the Company
Lloyds Bank is one of the UK’s largest retail and commercial banks, with a long-standing history of serving communities across the nation. We are committed to fostering an inclusive environment, leveraging cutting-edge technology, and protecting our customers through robust security measures. Join us in shaping the future of banking, where innovation meets trust.
Job Description
We are seeking a meticulous and vigilant Anti-Fraud Data Labeler to join our AI & Analytics team in Cardiff. In this critical role, you will be instrumental in enhancing our fraud detection systems by accurately labeling vast datasets. Your work will directly contribute to training advanced machine learning models, safeguarding our customers’ assets, and maintaining the integrity of our financial services. This is an excellent opportunity for an individual with exceptional attention to detail and a commitment to ethical data practices to make a significant impact in the banking sector.
Key Responsibilities
- Accurately review and label financial transaction data, identifying patterns indicative of fraudulent activity.
- Categorize and annotate data points according to defined guidelines and schema for machine learning model training.
- Collaborate closely with AI engineers and data scientists to refine labeling instructions and improve data quality.
- Maintain high standards of data accuracy and consistency, ensuring the reliability of our anti-fraud systems.
- Contribute to the development and improvement of data labeling tools and processes.
- Adhere strictly to data privacy regulations and internal security protocols, handling sensitive information with the utmost care.
Required Skills
- Exceptional attention to detail and a methodical approach to tasks.
- Strong analytical skills with the ability to identify subtle patterns and discrepancies.
- Proficiency in basic computer applications and data entry.
- High level of integrity and ability to handle sensitive and confidential information.
- Excellent communication skills, both written and verbal.
- Ability to work independently and as part of a collaborative team.
Preferred Qualifications
- Previous experience in data labeling, data entry, or quality assurance.
- Familiarity with financial transactions or banking operations.
- Basic understanding of machine learning or artificial intelligence concepts.
- Experience working with large datasets.
- A degree or relevant certifications in a related field (e.g., Finance, Data Science, Computer Science).
Perks & Benefits
- Competitive annual salary and performance-based bonuses.
- Comprehensive health, dental, and vision insurance.
- Generous pension scheme with employer contributions.
- 25 days annual leave plus bank holidays.
- Opportunities for professional development and continuous learning.
- Employee assistance program and wellbeing support.
- Discounted banking products and services.
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.
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