Job Vacancies at FNB South Africa

Purpose

• To detect identified fraud events, execute appropriate fraud interventions based on the type of fraud in order to prevent further losses that may be incurred.

Experience and Qualifications

• To detect identified fraud events, execute appropriate fraud interventions based on the type of fraud in order to prevent further losses that may be incurred.
• Minimum qualification: Grade 12 or relevant NQF 5
• Advantage - Certified Fraud Examiner
• No less than 3 years banking fraud analyses and detection experience

Responsibilities

• Minimise financial losses to FNB and the customer by executing detection duties and interventions as soon as fraudulent events have been established.
• Update customer with required information and explaining the process in fraud incidences and supply required documentation.
• Active participation in specialist practice forums to share information and insights across the business.
• Build objective working relationships with various, experts and counterparts within the banking industry and the broader fraud community.
• Manage cancellation process for required transaction method based on product (e.g. card, digital or accounts) of fraudulent activity by cancelling cards or putting holds on accounts. Provide access to transact once customer has been identified.
• Open fraud cases and compile relevant and comprehensive case related documentation in the required format for the appropriate resolution of fraud cases.
• Execute fraud detection practices according to the identified fraud event types and manage case end to end from detection to resolution using appropriate guidelines.
• Analyses transactions and compare transactions and documents to determine authenticity and assign required customer identification category (find customer not fraud, find customer is fraud, can't find customer)and fraud type.
• Extract and share insights, trends and lessons learnt from root cause analysis applied in detection to inform further fraud prevention improvements across a wide range of processes and systems.
• Conduct detection activities and fraud intervention line with applicable laws, processes to effect quick resolution of fraudulent matters.
• Compile and communicate accurate and timely reports on fraud cases and track progress made. Keep key stakeholders informed of case status including updating relevant information systems and tools (e.g. SAFPS list) accessed by the fraud community.
• Liaise with relevant internal and external stakeholders including bureaus and other banks to ensure correct validation of customer information and security checks.
• Manage personal development to increase own skills and competencies.

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Purpose

• To build, optimise and implement innovative quantitative analytical methodologies, procedures, and advanced mathematical models that provide analytical support and interpret insights, to address business opportunities and problems and implement business strategy, under guidance against predicted results and deliver according to set processes and procedures  

Experience and Qualifications

• Minimum Qualification - Relevant Degree in Maths, Stats, Engineering, Computer Science, Econometrics, Physics or Actuarial Science
• Experience - 1+ year experience in data environment
• Additional Knowledge - Domain knowledge with regards to financial services: Credit, Pricing, Marketing, CVM, Trading etc.
• Design thinking
• Analytics Ops, Agile and SAFe concepts will assist
• Hands on experience using model such as: Naïve Bayes, Support Vector Machines, Classifications, Boosting Algorithms, Time Series, Feature Engineering and
• Dimensionality Reduction
• Data and Information Management topics e.g. structure, dimensions, storage
• Database management
• Python, SQL, MATLAB, SAS, S-PLUS or R (used for statistical analysis)
• Monte Carlo techniques
• Machine learning
• Data mining and data modelling
• C#/Java, .NET or VBA, Excel
• Calculus (including differential, integral and stochastic)
• Linear algebra and differential equations
• Probability and statistics
• Game theory
• Portfolio theory
• Equity and interest rate derivatives, including exotics
• Systematic and discretionary trading practices
• Credit-risk products
• Financial modelling Data visualisation and reporting

Responsibilities

• Implement localised Analytics strategy to address business needs, under supervision and within set processes and procedures
• Contribute to innovation by finding faster and more accurate ways of working
• Comply with relevant statutory, legislative, policy and governance requirements and adhere to processes and procedures related to area of specialisation
• Build and maintain stakeholder relationships
• Address customer needs in order to meet or exceed customer expectations
• Act responsibly with work related resources to contribute to cost containment
• Assess own performance through seeking timely and clear feedback and request training where appropriate
• Demonstrate teamwork as a valued team player
• Participate in utilisation, refinement and enhancement of statistical models and data analysis to inform decision making and address business needs
• Contribute to creative business solutions, optimisation of processes and conduct statistical modelling and data analysis to inform strategic decisions, under supervision and within set processes and procedures
• Participate in the delivery of value add outputs across the analytics value chain in delivery of business strategy

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Purpose

• Liaison with clients, financiers and insurers, preparation and submission, assistance with settlements and other general clerical duties.

Experience and Qualifications

• Minimum Requirement : Related Degree or Diploma.
• Experience : 1 year's related experience.
• Person must not be an unrehabilitated insolvent.

Responsibilities

• Achieve net profit growth for business.
• Manage costs / expenses within approved budget to achieve cost efficiencies.
• Deliver exceptional service that exceeds customers' expectations through proactive, innovative and appropriate solutions.
• Cultivate and manage objective working relationships with a variety of stakeholders, including end-users, SME’s, project managers and senior staff members.
• Manage existing clients and grow portfolio through making contact and generating leads.
• Resolve all customer queries efficiently, and within agreed timelines.
• Maintenance of expert knowledge on specific products, pricing, application procedure, processing and timelines in order to drive and achieve relevant sales targets.
• Control the effective service for settlements in the business through insurance claims.
• Provide sales support efficiencies and services in order to ensure retention of clients.
• Provision of an efficient administration service through careful and timeous planning, reporting and updating of all related information.
• Comply with governance in terms of legislative and audit requirements.
• Gather and distribute relevant business information.
• Manage own development to increase own competencies.