Fraud Analyst (Western Cape) at Flash Group

Responsibilities:

• Work closely with the Data Science Manager and software developers to build and maintain the bespoke Fraud Management System, including:
• Daily health checks of fraud detection rules, alert queues and fraud rule optimization
• Identifying new datasets that can be leveraged to improve the detection processes and strengthen the overall fraud function.
• Implement and update rule sets when business rule changes are made
• Implement and manage 24hour monitoring strategy
• Implement and manage early detection and automated account closing on high risk rule-breaks
• Optimize data integrity and completeness within the Fraud Management System
• Manage the development of investigation data tools 
• Execute analytical assessments regularly to ensure fraud detection is aligned to the current transactional levels across the different products and users within the group
• Utilize analytics to identify outliers and anomalies to improve the functionality of the fraud detection rules on the datasets 
• Analyze data for trends and patterns, and interpret data with an objective of improving the fraud detection rule matrix
• Implement analytical models into production by collaborating with software developers and machine learning engineers
• Understand various technical processes within the business and advise on fraud risks or detection rules that can be implemented to monitor the fraud risk
• Build and maintain reporting outputs

Attributes:

• Self-motivated and assertive
• Strong analytical ability
• Strong verbal and written communication/ presentation skills
• Team player and ability to operate independently
• Good interpersonal skills
• Trustworthy
• Ability to prioritize
• Ability to work in a pressured environment
• Deadline driven

Minimum Requirements:

• B. Sc or B. Com in Computer Science, Applied Mathematics, Statistics, Data Science and Analytics or equivalent diploma
• 3+ years of data analysis in the fintech industry
• Preferably 1 – 2 years working experience within a fraud environment;
• Understanding of AI/ML. 
• Experience with Excel, PowerPoint, PowerBI, SQL, and programming languages (i.e. Java/Python, SAS,R)
• Understanding and usage of JSON Path, RabbitMQ and APIs advantageous