Senior Quantitative Analyst

**Job Requisition Details**
- REQ#137143- Location: Sandton, Johannesburg- Closing Date: 04 December 2024- Talent Acquisition: Bongiwe Mchunu- Job Family- Quantitative - Investment Banking- Department- Pricing and Credit Analytics
- Leadership Pipeline- Manage Self: Professional
- FAIS Affected**Job Purpose**
- To develop and maintain best practice models and assessment strategies in line with regulations (where applicable) in order to facilitate world class risk managementand attainment of strategic objectives. Provide input into strategic objectives and ensure delivery thereof.

**Responsibilities**:

- Contribute to a culture conducive to the achievement of transformation goals by participating in Nedbank Culture building initiatives (e.g. staff surveys etc).
- Research and make recommendations for corporate citizenship initiatives in area of influence
- Participate and support corporate responsibility initiatives for the achievement of business strategy (e.g.. Green Strategy).
- Seek opportunities to improve business processes; models and systems by identifying and recommending effective ways to operate and adding value to Nedbank.
- Contribute to the development of differentiated; superior solutions (solution engineering) that meet stakeholder and business requirements through analysis; business requirements gathering and designs validation.
- Ensure product and/or solution design is congruent with the required business specifications through meeting stakeholder requirements timeously.
- Enable the realisation of the financial business benefits accruing including minimisation of operational costs by ensuring that solutions are implemented effectively.
- Contribute to the development of differentiated; superior solutions (solution engineering) that meet stakeholder and business requirements through analysis; business requirements gathering and designs validation.
- Ensure product and/or solution design is congruent with the required business specifications through meeting stakeholder requirements timeously.
- Enable the realisation of the financial business benefits accruing including minimisation of operational costs by ensuring that solutions are implemented effectively.....
- Ensure accuracy through analysis and research by updating model assumptions/parameters.Impact business strategy through collating data and by creating reports that serve as a strategic decision making tool.
- Enhance business requirements by analysing data and monitoring processes.Ensure business process consistency through formal communication; updating and maintaining policies.
- Providing advice to key operational areas ensuring optimal resource allocation and desired results through analysis and communication.
- Provide assistance to internal clients to manage
- Credit Risk exceptions by analysing data upport the achievement of the business strategy; objectives and values by reviewing Nedbank and Business Unit Plan and ensuring delivered systems; process; services and solutions are aligned.
- Improve personal capability and stay abreast of developments in field of expertise by identifying training courses and career progression for self through input and feedback from managers.
- Ensure personal growth and enable effectiveness in performance of roles and responsibilities by ensuring all learning activities are completed; experience practiced and certifications obtained and/or maintained within specified time frames.
- Enable skilling and required corrective action to take place by sharing knowledge and industry trends with team and stakeholders during formal and informal interaction
- Obtain buy-in for developing new and/or enhanced processes (e.g. operational processes) that will improve the functioning of stakeholders' businesses by highlighting benefits in support of the implementation of recommendations.

**Professional Exposure**
- **Model Development**: Proficient in building predictive models for credit risk assessment, including logistic regression, decision trees, and machine learning algorithms.
- **Data Analysis**: Skilled in analyzing large datasets to identify trends, patterns, and insights that drive strategic decision-making.
- **Python Programming**: Advanced knowledge of Python for data manipulation, statistical analysis, and model development, utilizing libraries such as pandas, NumPy, scikit-learn, and stats models.
- **Risk Management**: Experience in assessing and mitigating credit risk through quantitative analysis and model validation.
- **Reporting and Visualization**:Adept at creating comprehensive reports and visualizations to communicate findings and recommendations to stakeholders.
- Essential Qualifications - NQF Level- Advanced Diplomas/National 1st Degrees
- Matric / Grade 12 / National Senior Certificate
- Preferred Qualification- Postgraduate degree in Statistics/Mathematics, CFA/ FRM/CQF
- Minimum Experience Level- 6 years relevant Analytical experience in the Financial industry

**Technical