Job Openings at BankservAfrica

PURPOSE

The main purpose of the Programme Manager role is to coordinate the projects within a programme effectively and manage large initiatives, managing both the dependencies and interfaces as well as oversight of any risks and issues arising. Through planning, monitoring progress, resolving issues, and initiating appropriate corrective action, the Programme Manager drives the successful outcome of programmes and large initiatives.

Programme Manager responsibilities amongst others include planning activities, milestones, risk plans, and a comprehensive plan. A Programme Manager is also responsible for time and budget management, the delivery of the agreed objectives, as well as managing stakeholder relationships.

A programme manager will apply expert-level knowledge of the project management discipline to plan, monitor, manage and execute delivery initiatives of large scope and very high complexity from initiation through completion. Is an expert in the primary discipline plus experience in delivering technical or data-driven projects with a deep understanding of payments and financial industry solutions and platforms. Can solve complex problems, interpret internal or external issues, and recommend solutions and best practices to improve existing processes, methodologies and workflows that will enable the team to work more efficiently and to stay within project timeline, budget, and scope. Has the ability to manage functional teams and multiple, interrelated initiatives (including business transformation). Can work independently and self-directed, with guidance in only the most complex situations.

Responsibilities include but not limited to:

• Leads or coordinates planning activities for complex initiatives to devise a feasible plan that achieves the goals and objectives of the initiatives aligned with business strategy. 
• Defines problems and scope parameters, organizes meetings, assigns responsibilities, develops schedules and milestones, identifies structures of authority and processes for decision-making, and determines resource requirements. 
• Understands and articulates the expectations for the deliverable/s and ensures shared understanding within the team. 
• Establishes and maintains relationships with all stakeholders and manages resources throughout.
• Measures performance using appropriate systems, tools, and techniques. 
• Reports on the status including key performance indicators (KPIs), cost, timing, and staffing.
• Troubleshoots and manages activities to ensure adherence to internal and external quality standards. 
• Performs risk management to minimize risk or change risks to opportunity. 
• Identifies and resolves obstacles to completing initiatives on time and within budget. 
• Recommends schedule changes, cost adjustments or resource additions when necessary. 
• Uses appropriate verification techniques to manage changes in scope, schedule, and cost. 
• Creates and maintains comprehensive documentation. 
• Identifies and resolves difficult complex issues, reports, and escalates to management as needed. 

Key stakeholders the candidate will engage with, but not limited to are:

• Banks
• South African Reserve Bank (SARB)
• Banking Association South Africa (BASA)
• Payments Association of South Africa (PASA)
• Other BankservAfrica Customer Organisations, Retailers, and Regulators
• Senior Management and Executive Management
• Business Unit Managers and Product Owners
• IT Managers and Staff

EDUCATIONAL REQUIREMENTS

• Qualifications and knowledge (including the most relevant)

Required:

• Project Management qualification (postgraduate / or MBA).
• PMP. 
• Required computer literacy levels in the MS Office suite and applicable Project Management Applications.
• Additional recommended:
• PgMP 
• Disciplined Agile Scrum Master 
• Agile Practitioner 
• Lean Six Sigma
• ITIL 
• Cloud (AWS) 
• COBIT
• TOGAF    Experience (include the most relevant industry-specific experience)

Experience

• Experience in large complex ICT application development and execution of delivery.
• Minimum 10 years’ experience in Project and Programme management. 
• Advanced skills and experience in planning, communication, interpersonal and negotiation skills.
• Experience in Payments, Banking or Financial services industry 
• Advanced working knowledge of business matters, finance, planning, and forecasting
• Expert-level risk and cost management skills
• Proven leadership in complex project implementations and decision-making skills 

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PURPOSE

The purpose and responsibility of the Manager Operations Fraud Intelligence is to manage and oversee the day-to-day operations of the enterprise transactional fraud and risk mitigation strategy as it relates to electronic and mobile payments processed in and across Southern Africa. 

An excellent understanding and demonstrated knowledge of the banking and payments industry, the fraud landscape, it’s dynamics, initiatives and use of data analytics for counter fraud and AML strategies will be key to assisting the transactional fraud and analytics team with detection criteria, to mitigate and build relevant use cases to track and report on, at an industry and customer level. 

Your knowledge and experience in fraud product(s) and service level management will help as you drive and maintain the team’s cross functional relationships internally to ensure the timeous delivery of operational and product support management.  These activities will include product lifecycle, performance, risk, incident, and change management. 

The role will require a highly engaging and interactive personality with professional communication, written and verbal skills; as well as the ability to present at industry and regulatory forums, and C-Suite meetings, as required.

The position requires:

• an in-depth understanding of fraud, risk management processes and banking fraud structures 
• an in-depth understanding and analyses of large transactional data sets to extract potential risk and prepare a plan to validate with relevant parties.
• a good knowledge of modi operandi and trends, fraud investigation workflows and prevention methodologies within the electronic payments space that includes all payment streams including debit orders.
• an understanding of the fraud industry regulatory landscape, structures, and reporting requirements.
• an excellent understanding and use of data analytics, the ability to interpret, design relevant and insightful dashboards for reporting purposes. 
• an ability to present to, and negotiate with, senior and executive management in the representative financial/banking industry.
• an ability to prioritise and manage varying aspects of internal and industry expectations, deliverables and negotiations. 

You will engage with the following stakeholders:

• Customer Value Management Teams (Electronic Payments Product Owners and Card, Customer Account Management Team, Data Analytics, Help Desk and Marketing)
• IT Delivery, Operations, Change Management
• BankservAfrica Customer and Regulators
• Service Providers and Vendors

Your key responsibilities include:

• Fraud and Risk Management
• Understand the nature of fraudulent or risky transactions and contribute to the development of rule design and use cases
• Drive the investigation into and conduct linkage analysis of transactional data for pattern and trend identification for industry and Customer engagements
• Identify, raise, track and mitigate risk
• Provide input to financial models/business cases for new business initiatives to ensure alignment with product/company strategy

Operational Fraud Management

• Be the first escalation point for all product related incidents raised. 
• Ensure team(s) deliver on internal OLA and external SLA requirements
• Ensure compliance with product and industry disaster recovery requirements 
• Review all change recommendations (enhancements and fixes) and requirements and approve changes before escalating to next level of change approval. 
• Ensure all legal, contractual, and regulatory requirements are met before a new customer goes live 
• Manage a customer take-on program and deployment in alignment with all relevant business and on-boarding standards 
• Prepare and submit for approval the release of industry/customer notification and incident reports
• Manage, update, and recommend continual improvement of the TFM Community Portal and ensure accessibility, security and uptime requirements are met

FRM Monthly Reporting (See contents are the same as above?)

• Internal product performance and service level reporting against OLA and SLA
• Customer product, industry and scheme level reporting to track and resolve any incidents or risks raised.
• Customer and Industry BI statistical reporting reflecting usage, performance, trends, typologies, use cases and recommended actions to counter
• Use case development and content writing

QUALIFICATIONS / KNOWLEDGE

• Professional qualification/diploma or relevant tertiary degree
• Certified Fraud Examiner ACFE (essential)
• Certificated Anti-Money Laundering Specialist (CAMS or equivalent) (desirable)
• Certified in Product Development Lifecycle (PLM) (advantageous)
• At least one related affiliation and /or membership
• Knowledge of fraud and financial crime typologies
• Knowledge of suspicious transactions
• Knowledge of payments, payment schemes and electronic payment processes

EXPERIENCE

• 8+ years’ experience in fraud detection and prevention and or related environment; of which
• 5+ years in banking/financial sector and or technology sector focusing on payments 
• Demonstrated experience in project and change management principles and delivery
• Experience in drafting of SLA and operational processes 
• Expert in counter fraud, anti-money laundering and risk management frameworks, policies, and practises
• Excellent Stakeholder relationship management and interpersonal skills
• Excellent communication, presentation, and proficient in business writing skills
• Numerate with excellent analytical skills and familiar BI software packages
• Experience in fraud prevention software management tools and methodologies
• Proficient in standard IT MS packages
• Planning and organising skills
• Attention to detail 
• Demonstrated Supervisory / management experience
• Problem solving ability
• Negotiation skills

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PURPOSE

As a Senior Fraud Data Scientist, you play a key role in supporting the delivery of the Transactional Fraud Mitigation service by leveraging data to discover new insights and develop solutions that allow for improved decision making. This role requires strong quantitative, technical, and analytical skills to balance two competing demands - enabling a frictionless customer experience while minimising fraud risk and money laundering on real time electronic payment platforms. You will be required to use statistical and machine learning techniques to maximise the performance of systems and design algorithms and heuristics to identify high risk transactions, automating real time transaction decisions. You are expected to apply and leverage off toolkits, multiple skillsets, data engineering, advanced computing, scientific methods, statistical computation, visualization, business communication, domain expertise and associated T4 ROLE PROFILE data to contribute directly to the proactive detection of fraud and the reduction of fraud losses while developing, optimizing, maintaining and evolving fraud detection and performance models at a national level that is imperative to improving scoring performance and account for shifting fraud patterns.

You will engage with the following stakeholders:

• Fraud Team (Business Owner, Analytics and Detection Team, Stakeholder Relationships) 
• Internal departments (IT Ops: Infrastructure, Networks, Applications, Database, Service Desk) 
• Service providers, industry bodies & vendors

Your key responsibilities include:

• Work with cross departmental teams 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 
• 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

QUALIFICATIONS / KNOWLEDGE

• Degree (Honours, Masters or PHD) in Statistics, Computer Science, Engineering, Mathematics or a combination of these
• Machine learning techniques, Oracle, RStudio, Python, Hadoop, cloud infrastructure Data analytics life cycle
• Data engineering 
• Scripting and programming
• Prescriptive and Statistical modelling 
• Fraud detection models 
• Data wrangling 
• Expert in MS Office, SQL

EXPERIENCE

• 5 years’ data science experience
• Experience with malware analysis, risk analysis, and risk management
• Big data analytics
• Experience in financial industry focusing on payment fraud
• Good written and oral communication skills
• Good interpersonal skills (require a patient and empathetic attitude) 
• Have strong time management and organisational skills (must be able to organise and manage multiple tasks at a time) 
• Be able to work autonomously and in teams 
• Be comfortable working in fast-paced environments 
• Good troubleshooting skills PERFORMANCE STAN