Fraud Analyst - Monte Vista
Pepkor Holdings
Description: 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 LI-ZS1 Requirements: 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
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