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  • Posted: Nov 14, 2019
    Deadline: Not specified
  • We are passionate about enhancing peoples lifestyles and we achieve this by offering a range of responsible consumer finance solutions that are innovative, accessible and desirable. We are based in Southern Africa but we operate beyond these borders being part of BNP Paribas a leading Bank in Europe with an international reach. To learn more about the Gr...
    Read more about this company

    Senior Analyst (Decision Science)

    You will be performing analysis and developing predictive models to optimise risk decisions.

    What you’ll be doing?

    • Performing analysis to determine the impact of strategy changes to areas of application and account management strategies
    • Presenting ideas via reports and presentations, outlining findings and making recommendations for improvements to senior stakeholders
    • Investigating data integrity issues, test assumptions and validate analytical results, ensuring accuracy and sensitivity of findings
    • Using advanced analytical techniques such as modern data mining, pattern matching, data visualisation and predictive modelling tools to produce analyses and algorithms that assist with the business decisions
    • Setting up experimental designs to answer key business questions
    • Forecasting and monitoring market trends using statistical techniques
    • Assisting in implementing strategy changes to live decision systems
    • Assisting with Application and Behavioural Scorecard development and testing
    • Performing complex statistical analysis to support decision-making and mitigate credit risk
    • Working within a team of Risk Analysts on best practice credit risk management principles and statistical analysis

    What’s the culture like?

    • Passionate | Optimistic | Informed | Uncomplicated

    What you’ll need?

    • Bachelors Degree or higher in an applicable field of study:
    •  For example: Mathematics, Statistics, Economics, Operational Research, Actuarial Science or Finance (CA (SA), CIMA, CFA etc.)
    • At least 4 years’ relevant experience:
    • in scoring and bad debt provision techniques in consumer lending
    • in credit risk analysis on unsecured lending products
    • preparing data-driven credit policy recommendations for Senior Management and delivering compelling presentations
    • manipulating and analysing data using SAS, SQL, SAS Macros or other data analysis tools for complex modelling purposes or forecasting, i.e. ability to perform statistical analysis on large datasets
    • database architecture, i.e. understanding of database and data warehouse concepts and functions
    • Strong analytical, problem solving and conceptual thinking skills
    • Knowledge of statistical and mathematical models and methodologies
    • Ability to explain complex statistical information

    Method of Application

    Interested and qualified? Go to RCS on to apply
  • Send your application

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