Risk Analyst – Modelling/Analytics (Cape Town)
Remuneration: | negotiable Market related |
Location: | Cape Town, Pinelands |
Type: | Permanent |
Reference: | #1712213 |
Company: | Datafin Recruitment |
An innovative Financial Services company is looking for a Risk Analyst specialised in the areas of Modelling and Analytics. In this role, it will be expected you ensure continuous fostering and dissemination of the company’s credit portfolio intellectual property by applying advanced statistical analysis. The successful candidate must have a relevant Bachelors’ Degree or higher and at least 4 years’ relevant experience in among others, consumer lending and analysing data using SAS, SQL, SAS Macros or other data analysis tools.
Duties:
- Work within a team of 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.
- Develop 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 standard and ad hoc statistical analysis to support decision-making and mitigate credit risk.
Requirements:
Bachelor’s Degree/higher qualification in one of the following:
- Mathematics
- Statistics
- Economics
- Operational Research
- Actuarial Science or Finance (CA (SA), CIMA, CFA etc.
At least four years’ relevant experience:
- 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.
- 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 skills/attributes:
- Knowledge of statistical and mathematical models and methodologies.
- Able to explain complex statistical information.
- Draw data from systems and do analysis on information retrieved.
- Quality control of output data.
- Compile reports based on information retrieved and analysed.
- Planning and organisational skills.
- Able to work to, and manage, deadlines.
- Attention to detail and commitment to delivery is vital.
- Strong analytical, problem solving and conceptual thinking skills.
While we would really like to respond to every application, should you not be contacted for this position within 10 working days please consider your application unsuccessful.
When applying for jobs, ensure that you have the minimum job requirements. Only SA citizens will be considered for this role. If you are not in the mentioned location of any of the jobs, please note your relocation plans in all applications for jobs and correspondence. Please email a Word copy of your CV to
moc.nifatad@ellehcim
and mention the reference numbers of the jobs. We have a list of jobs on http://www.datafin.com. Datafin IT Recruitment – Cape Town Jobs.
Posted on 07 Dec 09:40
Michelle Roberts
Create your CV once, and thereafter you can apply to this ad and future job ads easily.
Datafin
DataFin was established in 1999. We pride ourselves on the fact that we have established relationships with industry leaders and a vast majority of our business is repeat business.
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