| Date | 2024-07-08 |
|---|---|
| Job Title | Quantitative Analyst |
| Employer | Hire Resolve More Information |
| Salary | 0 |
| Category | Finance Accounting |
| Location |
Kwazulu Natal / Durban |
Job Summary
An industry-leading company located in La Lucia, KwaZulu-Natal is currently seeking the expertise of an experienced Data Scientist/Quantitative Analyst.
Key Purpose
To develop, manage and monitor advanced and relevant predictive models, to provide advanced analytical support to business units, to critically analyze and advise the business on data-driven value adds, and create and maintain accurate data, dashboards, and management reports.
Key Outcomes
- Model Development
Development of new predictive models in line with business requirements.
Successful deployment of predictive models.
Engagement with key stakeholders around business requirements for models - Model Management
Manage monthly monitoring and regular updates of existing predictive models.
Prepare analysis/commentary for model management meetings.
Reporting to 3rd party funders on model management.
Ensure the model management process is conducted according to the policies defined.
Interrogate existing models and identify possible red flags
Research the latest model building methodologies - Data Analytics to support business needs
Ad-hoc analytics/data science projects as required by business
Monthly analysis of key credit risk areas (loss control/credit)
Assist in building the Data science capabilities of the analytics team
Proactive business engagement to understand the analytical requirement
Proactive feedback to the business on value-added data-driven analytics
Automation - Data development and maintenance
Assist and advise on creating and maintaining data in an optimal manner
Requirements:
Education
- Honours degree in Statistics/Mathematics
- Preferred – Masters Degree in Statistics/Mathematics
Experience
- 2-5 years experience in scoring system development and credit risk analytics (retail)
- Preferred: 5-8 years of experience in scoring system development and credit risk analytics (retail) – 2 of which are at senior level
Preferred Industry – Financial / Credit risk analytics
Skills
Technical (at least some of the below skills will be necessary)
- SQL coding
- Advanced Excel
- Python (advantageous)
- Denodo (advantageous)
- SAS (advantageous)
- Predictive modelling or financial modelling
- Machine learning (advantageous)
- Exposure to IFRS9 modelling (highly advantageous)
- Ability to work with large amounts of data
Generic competencies
- Analytical, critical and logical thinker
- Understands the need for data-driven decisions
- Ability to read and assimilate a specification of data requirements
- Proactive personality
- Tolerance to change
- Attention to detail
- Accountability and ownership of work tasks
- Self-motivated
- Ability to work within a team and as an individual
- Comply with project management protocol
- Enthusiasm/interest in credit risk management
- Sense of humour
- Resilience
- Tenacity
- Ability to work under pressure
- Good time management.
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