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:

1.       Benchmark statistics of industry fraud levels

2.       Measurement criteria adherence

3.       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