Senior Quantitative Analyst

Minimum requirements: 3-5 years relevant of professional experience in an analytical and technical environment, with a focus on innovation and applying data-driven 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. Master's 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. Problem-solving mindset: Proven track record of identifying innovative solutions to business challenges using data-driven 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 an