- Johannesburg
- Salary: R1 000 000.00 - R1 100 000.00 Per Month
- Job Type: Permanent
- Sectors: Banking IT
- Reference: FD-1876727
Vacancy Details
Employer: Black Tie Recruit
RESPONSBILITIES
FINANCIAL MANAGEMENT
- Demonstrate cost awareness and control and report on revenue, costs and volumes where applicable
STAKEHOLDER ENGAGEMENT
- Build, influence, and manage key stakeholder relationships (internal and external) and expectations within all direct areas of responsibility.
- Deliver a high performing fraud detection model that meets detection matrix communicated to industry through:
- Benchmark statistics of industry fraud levels
- Measurement criteria adherence
- Actionable insight to fraud mitigation
4. Continuous display of high value alerts
- Deliver on internal and external stakeholder requirements/SLA’s
DELIVERY OF BUSINESS PROCESSES/PROJECTS
STRATEGIC ALIGNMENT
- Deliver on BU goals and activities aligned to strategy
INITIATIVE/ PROJECTS FOR CONTINUOUS IMPROVEMENT
- Identify and scope opportunities for improvement / innovation
- Deliver client or company specific projects in line with company standards and in agreement with line manager
DATA ANALYTICS
- Work with cross departmental team to define metrics, guidelines, and strategies for effective use of algorithms and data
- Create data mining and analytics architectures, coding standards, statistical reporting, and data analysis methodologies
- Coordinate data resource requirements between analytics and technical teams
- Work with product managers, engineers, and analytics team members to translate prototypes into production
- Responsible for the prevention and detection of potential fraud across all payment channels by reviewing transaction data
- Identify fraud patterns through the monitoring of transactions
- Complete preliminary investigations or reviews to determine if fraudulent activity is occurring and take necessary action to close accounts as required
- Conduct research and make recommendations on big data infrastructure, database technologies, analytics tools, services, protocols, and standards
- Drive the collection of new data and the refinement of existing data sources
- Develop algorithms and predictive models to reduce frequency of fraudulent transactions
- Develop tools and fraudulent transaction libraries that will help analytics team members more efficiently flag fraudulent transactions
COMPLIANCE AND RISK MANAGEMENT
- Policies and procedures: Provide input into relevant policies and procedures
- Compliance: Comply with relevant policies & procedures, regulation and legislation
- Risk: Identify and escalate risks appropriately
PEOPLE
- Assist team members to ensure understanding of required deliverables and stay abreast of technical skills
- Contribute to the development of a positive team culture
Candidate Requirements
EXPERIENCE (INCLUDING RELEVANT SECTOR SPECIFIC EXPERIENCE)
- 5 years’ data science experience
- Prior experience with malware analysis, risk analysis, and risk management
- Big data analytics
- Financial industry focusing on payment fraud
- Good communication (written, oral) and interpersonal skills
- Organise and manage multiple tasks
- Work autonomously and in teams
- A patient and empathetic attitude
- Strong time management and organisational skills
- Comfortable working in fast-paced environments
- Troubleshooting skills
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