Senior Quantitative Analyst
Senior Quantitative Analyst
Posted on :
22-05-2025
Employer Active
1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
22-05-2025
Job Description
Minimum requirements:
- 35 years relevant of professional experience in an analytical and technical environment with a focus on innovation and applying datadriven approaches to solve complex problems.
- Advanced Diplomas/National 1st Degrees
- Professional Qualifications/Honours Degree
- Post graduate degree in mathematics/statistics/actuarial science/engineering/data science or a related quantitative discipline.
- Masters degree is preferred
Technical / professional knowledge:
- Business Acumen
- Microsoft Office
- Risk management process and frameworks
- Strong analytical skills: Demonstrated ability to analyse large datasets identify patterns and draw meaningful conclusions. Experience with statistical analysis data mining and machine learning techniques is essential.
- Problemsolving mindset: Proven track record of identifying innovative solutions to business challenges using datadriven approaches. Ability to think critically creatively and outside the box.
- Relevant software and systems knowledge:
- Programming languages: Proficiency in one or more programming languages commonly used in data science and quantitative analytics.
- Data analysis and visualisation: Experience with data analysis libraries and frameworks. Familiarity with data visualisation tools like Power BI is a plus.
- Machine learning: Strong understanding of machine learning algorithms and their applications.
- Extensive understanding in data pipelines with adequate knowledge of data and development/deployment systems and architecture
- Automation techniques: Experience in using advanced techniques and tools to automate processes.
- Model Governance: Knowledge of model governance principles the regulatory landscape and modelling best practices ensuring quality integrity and compliance throughout the model lifecycle.
- (Bonus) Credit process knowledge: Familiarity with credit assessment and evaluation processes in a business context.
- Understanding of credit risk modelling credit scoring and credit underwriting practices.
- Communication skills: Excellent verbal and written communication skills to effectively present findings and insights to both technical and nontechnical stakeholders.
- Ability to explain complex concepts in a clear and concise manner (business writing skills).
- Collaboration skills: Ability to work collaboratively with crossfunctional teams such as credit analysts business stakeholders and IT professionals to gather requirements and implement automated solutions effectively.
Responsibilities:
- Design and develop superior innovative quantitative solutions to service stakeholder and business requirements across the group encompassing AI/ML initiatives across clusters Credit Risk Financial Crime People Risk (HR analytics) Compliance and Conduct Risk analytics supporting Group Internal Audit (GIA) through analysis
- Drive multiple group wide strategic initiatives relating to AI and ML.
- Model and methodology advisory and support for all clusters (solution generator unlock business and client value).
- Challenge model builds through expert group and model technical forum participation contribute to the development of differentiated superior solutions and ensuring best practice.
- Seek opportunities to improve business processes models and systems by identifying and recommending effective ways to operate and adding value to the company.
- Build relationships with stakeholders by networking through targeted and informal interactions and consistent delivery of quality output to build trust.
- Enhance applicable group frameworks and policies and participated in annual review processes.
- Increase efficiencies through programming and automating processes.
- Build and formally present reports by monitoring business performance within the set risk appetite and through analysis.
- Report to monitor and advise operational areas to manage trends through analysis for adhoc requirements.
- Ensure personal growth and enable effectiveness in performance of roles and responsibilities through formal and informal learning activities and practical experience.
- Enable upskilling and required corrective action to take place by sharing knowledge and industry trends with team and stakeholders during formal and informal interactions.
- 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.
- Contribute to a culture conducive to the achievement of transformational goals by participating in Nedbank Culture building initiatives (e.g. staff surveys etc).
Employment Type
Full Time
Key Skills
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