eSmart Recruitment
One of our clients in the Banking sector are looking for a Quantitative Analyst to join their team.
BRIEF_DESCRIPTION
• To plan, build, optimise and implement innovative quantitative analytical methodologies, procedures, products and advanced mathematical models that provide analytical support and interpret insights
• To address business opportunities and problems and implement business strategy, with minimal guidance.
DETAILED_DESCRIPTION
• In accordance with National Credit Act (NCA) candidates applying for this role will require a credit record check.
JOB_REQUIREMENTS
• Assess own performance through seeking timely, and clear feedback and request training where appropriate
• Contribute to creative business solutions, optimisation of processes and conduct statistical modelling and data analysis to inform strategic decisions, under limited supervision
• Implement localised Analytics strategy to address business needs, under limited supervision
• Focus on providing optimal services and improving service delivery processes to meet or exceed customer expectations Ensure compliance to legislative and audit requirements and adherence to relevant processes
ADDITIONAL_DETAILS
• Minimum Qualification – Relevant Degree in Maths, Stats, Engineering, Computer Science, Econometrics, Physics or Actuarial Science Preferred Qualification – Honours Degree
• Experience – 3 – 5 years’ experience in a data environment, of which 1 – 2 years ideally at a junior specialist level
• Additional Knowledge – Deep domain knowledge with regards to financial services: Credit, Pricing, Marketing, CVM, Trading etc.
• Design thinking Analytics Ops, Agile and SAFe concepts will assist Concepts such as: Exploratory data analysis, Data Science Pipeline lines
• Hands on experience using model such as: Naive Bayes, Support Vector Machines, Classifications, Boosting Algorithms, Time Series, Feature Engineering and Dimensionality Reduction Data and Information Management topics e.g. structure, dimensions, storage
