Jobs at FLASH Mobile Vending

Objectives of this Role

• Implement and improve the detection strategy of the Fraud team
• Collaborate with technical teams to determine data available/required for monitoring
• Research and devise innovative statistical models for data analysis
• Enable smarter business processes and implement analytics for meaningful insights
• Keep current with technical and industry developments relating to Fraud detection
• Communicate findings to all stakeholders

Responsibilities:

• Lead Fraud detection within the business
• Identifying and integrating new datasets that can be leveraged to improve the detection processes and strengthen the overall fraud function.
• Work closely with the technical team to strategize and execute the development of data orientated products
• Execute analytical assessments regularly to ensure fraud detection matrix is aligned to the current transactional levels across the different products and profiles within the company
• Utilize analytics to identify outliners from the system rules to allow data to be cleaned and 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.
• Collaborate with the Fraud investigation team to provide real time data during an investigation when required
• 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 rules broken

Minimum Requirements:

• B. Sc or B. Com in Computer Science, Applied Mathematics, Statistics, Data Science and Analytics or equivalent diploma
• 2+ years of Big Data with project management experience in the fintech industry
• Preferably 1 – 2 years working experience within a fraud environment;
• Understanding of AI/ML.

Knowledge / Skills:

• 3 to 4 years’ experience in data intensive industries such as banking or financial services is preferred
• Proficiency with data mining, mathematics, and statistical analysis
• Advanced pattern recognition and predictive modelling experience
• Experience with Excel, PowerPoint, PowerBI, SQL, and programming languages (i.e. Java/Python, SAS,R)
• Comfort working in a dynamic, fast moving company
• Advanced understanding and usage of XML and JSON Path (gremlin coding advantageous)

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 prioritise
• Ability to work in a pressured environment
• Deadline driven

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Minimum Requirements:

• Relevant IT Tertiary Qualification
• 3-5 years relevant experience in an environment that builds and maintains the full spectrum of Android apps
• Experience with Agile methodologies including Scrum and Kanban
• Experience with RESTful JSON services required
• Experience with .Net MVC to be able to enhance existing JSON interfaces if required
• Experience in a Retail, Payments or Banking environment is preferred

Responsibilities:

• Android app development – full range of devices and OS integration (Location, Contacts, Camera etc.)
• SQL Lite as part of the Android SDK
• Android deployment and Google Play Store management
• RESTful JSON web services