Fraud Data Scientist

2 days ago


Johannesburg, South Africa BankservAfrica Full time

This details all the information about the job posting.

**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- Fraud Data Scientist- Location- Selby - Johannesburg, GP 2001 ZA (Primary)- Career Level- Skilled / Professional / Supervisory- 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 DOYou will be joining the Transactional Fraud Mitigation team. Our key mission is to enable a frictionless customer experience while minimising fraud risk and money laundering on real time electronic payment platforms. The role will require strong quantitative, technical and analytical skills to balance these two competing demands.

We are looking for an experienced Fraud Data Scientists to play a key role in managing the risk, who will 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.

**Key stakeholders the Data Scientist will engage with are**:

- 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 role responsibility will be to**:

- 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 d


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