Job Opportunities at BankservAfrica

What You Will Do

• You will be joining the RPP - Technical Stream reporting into the Development Lead Modernization. Your primary focus as an Analyst Programmer in the RPP - Technical Stream is being responsible for developing, enhancing, and supporting BankservAfrica applications using automated continuous deployment methodologies. You will be engaged in designing, implementing, testing, and deploying applications through change management processes and post-monitoring of application deployments. This role further requires you to understand cloud platforms as well as to maintain and deploy new existing services to the cloud. Good communication skills, being a team player, a background in using a variety of programming languages and protocols, being self-motivated and being able to be on call 24/7 in the event of emergencies are key attributes for this role.

You will engage with the following key stakeholders:

Internal:

• Product Managers
• Enterprise Project Management Office
• BankservAfrica’ s Service Centre
• Internal technical teams

External:

• Financial institutions
• Payment processors
• External technical teams

Your key responsibilities include:

• Analyse and solve problems and incidents on production, UAT and development environments
• Develops, modifies, maintains, and deploys assigned microservices. Test existing and new code. (TDD) Write Unit Test and Integration Test for microservices. Source code must adhere to Standard coding principles and design patterns (GOF).
• Maintain monitoring and alerting application.
• Firm understanding of CICD pipelines, Containerization, and automation.
• Effectively manage the delivery of short to medium term goals
• Analyse and solve problems and incidents on production, UAT and development environments
• Monitor the operation of assigned programs and respond to problems by diagnosing and correcting errors in logic and coding.
• Provide 24/7 support of applicable systems
• Plan and organise work activities according to timelines and targets
• Demonstrate innovative thinking in area of expertise and translate this into business process / solutions / working practice improvements
• Provide feedback on work within own area of expertise and proactively seek out feedback
• Display professional discipline (punctuality, etc.)

Qualifications / Knowledge

• BSc Computer science or relevant experience
• Knowledge of development and analysis SQL knowledge, C-based (OO language) i.e., JAVA, etc. Preferred Language Golang

Experience

• Minimum 5 years’ experience working as a Programmer
• Experience in financial services preferable
• 1 year experience – Cloud Platform
• 1 year experience – K8s
• 2 years’ experience – Docker
• 2-3 years’ experience – Software Development
• 2 years’ experience – Cloud based CI/CD

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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 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