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  • Posted: Sep 21, 2017
    Deadline: Not specified
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  • DirectAxis is a specialist financial services company that provides customers with a direct connection to loans and insurance. Launched in January 1995, we give you direct access to the financial products you need, in a way that is most convenient for you. To help us do this, we draw on the diverse knowledge and expertise of our shareholder FirstRand Bank Li...
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    Decision Optimisation Analyst

    Job description

    The core responsibilities consist of building predictive models to assist marketing, operations and credit risk departments. Ad hoc analysis work to support strategic decisions will also form part of responsibilities.

    Requirements

    Minimum

    A degree majoring in Statistics, Actuarial, Mathematics or Engineering preferred. Undergrad is a minimum requirement, but preference will be given to post graduate qualifications.

    Experience

    2 -3 years’ experience in a predictive model building role

    Duties & Roles

    • Model Development
    • Data Extraction and Manipulation
    • Recommendations on outcome definitions and Windows
    • Segmentation
    • Model development (e.g. regression)
    • Validation
    • Model documentation
    • Optimisation Strategy Development
    • Set up scenarios and constraints
    • Arrive at implementable solutions that add measurable business value
    • Specify implementation and test plans
    • Present recommendations to Credit Committee or decision makers in area of concern and get go ahead for implementation
    • Create specifications required for implementation
    • Performance Tracking and maintenance
    • Monitor performance of strategies against champion and other strategies
    • Update models or strategies where required
    • Recommend rollout strategy for successful tests
    • Adhoc Analysis
    • Provide analytical insight for ad hoc analytical tasks

    Check how your CV aligns with this job

    Method of Application

    Interested and qualified? Go to DirectAxis on www.linkedin.com to apply

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