Senior Fraud Data Scientist

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Do you see a future that includes more? More exposure to innovative technologies, more personal growth, more experience? Look at the position we have available and see how, together we can shape your future, so that you can give more and include more.

Job Title Senior Fraud Data Scientist Location Selby - Johannesburg, GP 2001 ZA (Primary) Occupational Level Professional Job Category Data Analytics Job Type Permanent OUR THINKING We provide skills, development opportunities and leadership support to our people so that they can hone their skills to do more and give more in support of each other, our clients, and our communities in a supportive, yet performance driven, environment. WHO WE ARE We're an innovative technology company with strong ties to the financial industry. Innovating bank interoperability since 1972, supporting the growth of the South African Economy and individuals across the continent, is what we excel at. Continuously striving for financial inclusion and providing everyone with access to the digital economy enabling them to do more, get more and benefit from financial inclusion so that they can give more. WHAT WE DO Access to financial Inclusion ensures individual growth and economic growth - securing the growth of the African nation. We have served this noble purpose for five decades across the African Continent and our growth spurs us on to do more, give more and include more. We are firm believers in our people and the Adaptability Quotient (AQ) inherent in each of us that makes us strive to thrive. BankservAfrica have a high AQ and it is this quality that has driven our business to continuously innovate and evolve, building capability and capacity to include more, enabling greater access to the country’s financial landscape. WHERE WE'RE GOING The payments landscape is being modernised globally and, therefore, ours is an exciting industry to be part of. New technologies are the main thrust driving this change. Technology enables the possibilities, and people’s ingenuity creates opportunities. As an enabler our future plans are orchestrated around assembling a central payments environment that actively seeks and acquires strategic partners to enable service extensions. The core of our Financial Services Platform is a fully interoperable, cloud-ready composite platform delivering real-time value transfer and settlement, enhanced by a range of value-added services. The platform will leverage technological advancements aimed at: - Managing complex volumes - Faster deployment and faster change - Personalised user experiences, with standardised platform experiences being the norm Doing more will be realised through our creation of platform extension partners who will benefit from our standardised API capability which they in turn can offer to their clients, giving more. We aim to include new Market Actors through our value chain extension which will allow 'pass-through' connection in those cases where an existing actor passes services through a new actor enabling them to give more to the ecosystem without compromising the security or the role of the heavily regulated financial institutions. WHAT YOU WILL DO BankservAfrica form part of the South African National Payments System and are a trusted partner of the financial industry, including banking institutions, and therefore require that employees adhere to unwavering standards of honesty and transparency in performing their duties. 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 At BankservAfrica we don’t see diversity as a problem to solve but rather as an asset that we can leverage to build a robust diverse community. We are deliberate about our approach and have an employment equity plan which we adhere to, we consider differently abled people as part of our diverse community and welcome their applications. Post the COVID 19 pandemic we offer flexible working arrangements for certain of our positions and encourage you to look at our comprehensive flexible working policy. #J-18808-Ljbffr