Risk Analyst: Modelling and Analytics
Star
Cape Town, Western Cape, ZA
2d ago
source : Work-Force

Responsibilities :

  • Work within a team of Risk Analysts on best practice credit risk management principles and statistical analysis
  • Undertake analysis to determine the impact of strategy changes to areas of application and account management strategies
  • Development of predictive models aimed at the optimisation of risk decision-making
  • Present ideas via reports and presentations, outlining findings and making recommendations
  • Investigate data integrity issues, test assumptions and validate analytical results, ensuring accuracy and sensitivity of findings
  • Use advanced analytical techniques (modern data mining, pattern matching, data visualisation and predictive modelling tools to produce analyses and algorithms that assist with the business decisions
  • Set up experimental designs to answer key business questions
  • Forecast and monitor market trends using statistical techniques
  • Assist in implementing strategy changes to live decision systems
  • Assist with Application and Behavioural Scorecard development and testing
  • Perform complex statistical analysis to support decision-making and mitigate credit risk
  • Duties Minimum Requirements :

  • Bachelors Degree or higher in an applicable field of study : (Mathematics, Engineering, 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
  • Credit risk analysis on unsecured lending products
  • Preparing data-driven credit policy recommendations for Senior Management and delivering compelling presentations
  • Experience / exposure to bureau data and developing customer insights from it
  • Manipulating and analysing data using SAS, SQL, SAS Macros or other tools for complex modelling purposes / forecasting
  • Ability to perform statistical analysis on large datasets
  • Database architecture, i.e. understanding of database and data warehouse
  • Behaviours :

  • Strong analytical, problem solving and conceptual thinking skills
  • Knowledge of statistical and mathematical models and methodologies
  • Ability to explain complex statistical information
  • Draw data from systems and do analysis on information retrieved
  • Quality control of output data
  • Compilation of reports based on information retrieved and analysed
  • Must be able to work to, and manage, deadlines
  • Attention to detail and commitment to delivery is vital
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