Risk Analyst: Decision Science (CPT)

ENVIRONMENT:

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:

• 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.

• 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.

• 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.