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  • Posted: Aug 1, 2017
    Deadline: Aug 15, 2017
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    Standard Bank Group is the largest African banking group by assets offering a full range of banking and related financial services. “Africa is our home, we drive her growth” Our vision is to be the leading financial services organisation in, for and across Africa, delivering exceptional client experiences and superior value. This sets the prim...
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    Specialist, Fraud Data Analytics

    Job description

    Job Purpose

    Responsible for new analytic model development using existing Vendor technology whilst also innovative in creating new fraud risk prediction, prevention, detection models using predictive analytics and machine learning models.

    Key Responsibilities/Accountabilities

    • Minimise the overall financial crime impact in the organisation, through proactive insights and analytics underpinned by best in class capability to optimise the fraud risk and customer experience trade-off and ensure trust from stakeholders
    • Maximise business value creation and deliver exceptional customer experience whilst minimising internal and external fraud risk and related losses through Predictive Fraud Modelling and Analytics capability, group-wide.
    • Execution and oversight of all the 24/7 Predictive Fraud Modelling and Analytics capability group-wide, and overarching key performance indicators.
    • Execution and alignment of the Fraud Modelling and Analytics Portfolio within GFCC Insights and Analytics function to achieve the group objectives of becoming a universal bank focusing on customer centricity and economic profit (optimise risk/reward trade-off)
    • Develop and Manage a balance of real time and batch predictive models to minimise the impact of financial crime to the bank, its customers and shareholders
    • Manage functional data requirements
    • Responsible for Data Sourcing, Mining and Staging using ETL, SQL, SSIS and SAS development
    • Data Wrangling and Featuring Engineering for Model Data Management, Development and Life Cycle management using R, Python, C#, SAS and SQL programming
    • Expert handling and management of structured and unstructured data
    • Setting up of data pipelines, event hubs and ingestion using Big data Platforms and Cloud technology such as MS Azure, Cortana Intelligence Suite and SAS Analytic Suite
    • Driving Action With Big Data Analytics and Machine Learning technology
    • Visual representation of fraud patterns, statistics and BI (SAS, QlikView, MS Excel and Power BI)
    • Support Operational Fraud Analytics Capability
    • Operational oversight and management of the Predictive Fraud Modelling and Analytics capability function
    • Inculcating and supporting a Strategic Analytics Culture
    • Responsible for Systems and Model management and underpinning Data Analytics and Fraud rules management support.
    • Manage the fraud model performance , QA , validation and ROI on the relevant fraud management platforms, across all portfolios
    • Hands-on in analysing and understanding large amounts of historical data to determine the most suitable fraud modelling techniques and leading model development and enhancement efforts.
    • Bringing expertise with different types of algorithms and modelling processes
    • Machine Learning and AI
    • Meeting roadmap deliveries at high quality and on time.
    • Working directly with internal and external business partners and supporting models in production
    • Conduct Predictive Analytics
    • Responsible for thought leadership, analytic design, and innovation work products to support the development of new analytical models and improvement and optimisation of existing models. Customer Risk Behavioural and Predictive Analytics
    • Conduct Cross Portfolio Entity Link Analysis based on historical fraud cases
    • Perform Root Cause Analysis to become more predictive and preventative in managing fraud risk in the organisation.
    • Develop Customer Behavioural and Fraud Profiling Models using sound methodologies.
    • Evaluate the Probability of Future Crimes based on ongoing fraud data trending and analysis
    • Forecast Financial impact of fraud for each lines of business to quantify and set risk appetite
    • Conduct Descriptive, Diagnostic, Predictive and AI Analytics,
    • Scan the global and local environments to monitor and identify fraud trends around the world taking into account the potential impact of complex environmental variables e.g. international, political, technological, social and economic drivers, on different sectors of the market and on fraud risk profiles.
    • Be an active player in fraud management forums in order to ensure Standard Bank Group is ahead of the latest fraud patterns.
    • Attend where required, membership or strategic partnership meetings such as Payments Association of South Africa (PASA), South African Banking Risk Information Council (SABRIC), South African Insurance Crime Bureau (SAICB), Visa, MasterCard and other Industry recognised Vendor based forums
    • Identify Industry trends and Risk Analysis
    • Drive the analysis to support Return on Investment (ROI) in fraud savings relative to Expected Loss Forecast, and put together a strong business case for review, discussion, and decisioning by the Executive Head of GFCC Insights and Analytics
    • Support the Portfolio Managers in the Fraud Rules Governance Forums with respective business partners
    • Educate Executive Business Partners on the evolving Fraud Threat Landscape at a Macro and Micro level. This primarily includes Senior Management of Business units directly responsible for the P&L and Risk Enabling Partners (Internal and External)
    • Review Fraud Strategy and Policy decisions with business partner alignment and acceptance of the risk / reward trade-off. Supported by statistical fact to enable data driven decisions.
    • Agree strategic fraud risk management capability levers and requirements for competitive advantage
    • Directly interact with Senior Management in Business, IOR, Audit and Compliance to ensure fraud practices and policies are in line for a sound fraud organisation with appropriate practices and policies
    • Achieve Shareholder and Customer goals with a particular focus on fraud prevention, and the optimal balancing between fraud write-offs and minimizing authorizations declines.
    • Evaluate potential control enhancements which will improve business controls or reduce impacts to good customers as needed.
    • Articulate mitigation projects and overall approach to Fraud related issues

    Preferred Qualification

    • Reputable Data Scientist Degree , Data Mining/Machine Learning/Statistics Expertise
    • Degree IT and Computer Sciences or Mathematical Sciences
    • Reputable Data Scientist Degree Certification on Data Analytics and Statistical Tools Data Mining/Machine Learning/Statistics Expertise (MS Azure, Cortana Intelligence Suite, SQL, R, Python, C# and SAS Analytics Suite)

    Experience

    • 5-7 Years Expert Experience in Financial Services, Predictive Modelling and Analytics capability development and management with a well-developed risk management knowledge of the personal and business banking, corporate and investment banking and wealth environments and related fraud through practice. Proven Predictive Fraud Modelling and Analytics experience
    • 5-7 Years Experience Description: Strong IT Background through proven experience.
    • 7-10 Years Data Science Expert
    • 5-7 Years Programming Expert

    Knowledge/Technical Skills/Expertise:

    • Business Acumen
    • Understand the banking industry and the impact that the economic and regulatory environment have on the organisation. Apply this knowledge in your assessment of risks and recommendation of appropriate control and quality frameworks.
    • Effective Business Communication
      • The ability to communicate information and ideas in a clear and concise manner appropriate for the audience in order to explain, persuade, convince and influence others to achieve the desired outcomes
      • Fraud Detection and Management
      • The ability to apply risk management tools, assess, process and identify possible fraud within a defined system or core process.
    • Risk/ Reward Thinking
      • The ability to provide due consideration to risks, rewards and the cost of control measures in evaluating business opportunities, process and system changes.
      • (Economic) Sustainability Research
      • Ability to acquire a greater understanding of trade, economics or relevant subject under study through the application of formal research methodologies.
    • Project management
      • Ability to plan, initiate, execute, control and close projects related to a relevant function

    Method of Application

    Interested and qualified? Go to Standard Bank Group on careers.peopleclick.eu.com to apply

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