Description
We are seeking an Assistant Manager Fraud Analytics to join our team at Barclays.
As an Assistant Manager Fraud Analytics, you will play a pivotal role in shaping the future of our organisation. You will be responsible for implementing data quality processes and procedures, ensuring that data is reliable and trustworthy, and then extracting actionable insights from it to help the organisation improve its operations and optimise resources.
Key Responsibilities:
- Identify, collect, and extract data from various sources, including internal and external sources.
- Perform data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis.
- Develop and maintain efficient data pipelines for automated data acquisition and processing.
- Design and conduct statistical and machine learning models to analyse patterns, trends, and relationships in the data.
- Develop and implement predictive models to forecast future outcomes and identify potential risks and opportunities.
- Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science.
Analyst Expectations:
- Perform prescribed activities in a timely manner and to a high standard, consistently driving continuous improvement.
- Requires in-depth technical knowledge and experience in their assigned area of expertise.
- Thorough understanding of the underlying principles and concepts within the area of expertise.
- Lead and supervise a team, guiding and supporting professional development, allocating work requirements, and coordinating team resources.
Requirements:
- Expertise in SQL, SAS, Data Analytics, and Reporting.
- Excellent communication and interpersonal skills to effectively communicate with stakeholders, build relationships, and present findings.
- Strong analytical skills to interpret complex data quickly and make informed decisions in a fast-paced environment.
- Proficiency in designing and building data pipelines to automate data movement and processing.
Desirable Skills:
- Effective communication and presentation skills.
- Experience in Data Privacy, Governance, Reporting, and Risk Management, preferably in a financial services organisation.
- Proficient in MS Office – PPT, Excel, Word & Visio. Preferred – Dashboard visualisation, Tableau/ Power BI.
- Comprehensive understanding of Risk, Governance, and Control Frameworks and Processes.
- Understanding of Data Privacy Policies and Standards.
- Ability to analyse, interpret, and work robustly with others to identify issues and develop proposed solutions.