Risk Analyst: Decision Science (CPT)

SUMMARY:
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POSITION INFO:
ENVIRONMENT: A dynamic Financial Services Group seeks a solutions-driven Risk Analyst: Decision Science whose core role will focus on ensuring continuous fostering and disseminating of the credit portfolio intellectual property through the application of advanced statistical analysis. You will develop predictive models aimed at the optimisation of risk decision-making, present ideas via reports and presentations while investigating data integrity issues and performing complex statistical analysis. Applicants will require a Bachelor’s Degree or higher in Mathematics\/Engineering\/Statistics\/ Actuarial Science or Finance (CA (SA), CIMA, CFA or similar field with 5 years’ experience in the following: scoring techniques in consumer lending; credit risk analysis on unsecured lending products & manipulating and analysing data using SAS, SQL and SAS Macros.   DUTIES: 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 for improvements to senior stakeholders. Investigate data integrity issues, test assumptions and validate analytical results, ensuring accuracy and sensitivity of findings. Use 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. 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.   REQUIREMENTS: Qualifications – Bachelor’s Degree or higher in an applicable field of study: For example: Mathematics, Engineering, Statistics, Economics, Operational Research, Actuarial Science or Finance (CA (SA), CIMA, CFA etc.)   Experience\/Skills – Minimum of 5 years’ relevant experience in the following: Scoring 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 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. Additional - Knowledge of statistical and mathematical models and methodologies. Draw data from systems and do analysis on information retrieved. Quality control of output data. Compilation of reports based on information retrieved and analysed. Advantageous - Exposure to Python.   ATTRIBUTES: Strong analytical, problem solving and conceptual thinking skills. Ability to explain complex statistical information. Planning and organisational skills. Must be able to work to, and manage, deadlines. Attention to detail and commitment to delivery is vital.