People Curated

Data Scientist/Quantitative Analyst

📍 Sandton, Gauteng, South Africa

💼 full-time

💰 ZAR 900,000 - 1,200,000 / year

The incumbent will use their analytical, statistical and programming skills to collect, analyze and interpret large data sets in order to provide insights and data-driven solutions to solve difficult and strategic business challenges. To a lesser extent, the incumbent be responsible for developing and deploying new predictive and prescriptive models. Required Minimum Education / Training • Honour’s degree in a mathematical, statistical or actuarial field. Required Minimum Work Experience • 4+ years Technical and Behavioral Competencies Required Technical Behavioral • SAS (Base, Enterprise Guide and Enterprise Miner) • Python • Excel • Innovative thinking • Deciding and initiating action • Applying expertise and technology • Analysing • Developing results and meeting customer expectations • Coping with pressures and setbacks Nice to Have: • Working with people • Adhering to principles and values • Relating and networking • Persuading and influencing • Planning and organizing • Adapting and responding to change Key Performance Areas Predictive Modelling • Manage aspects of current scorecards/models. • Maintain and re-calibrate current scorecards and/or predictive models. • Develop new predictive models. • Utilises advanced data analytics and mining techniques to analyse data, assessing data validity and usability; reviews data results to ensure accuracy; and communicates results and insights to stakeholders. • Identifies trends, patterns, relationships and discrepancies in data and determines additional data needed to support insight. Processes, cleanses, and verifies the integrity of data used for analysis. • Identifying, interpreting & explaining the factors giving rise to specific business outcomes. • Predicting & forecasting probable future business outcomes. • Identifying key factors of business operations to transform/eliminate/introduce in order to improve business outcome. • Develop, maintain and refine advanced mathematical and statistical models pertaining to various aspects of the business. • Apply various supervised and un-supervised learning techniques to various problems. • Predictive and Prescriptive modelling. • Solving hard analytical problems for the business. • Designs various mathematical, statistical, and simulation techniques to large and unstructured data sets in order to answer critical business questions and create predictive solutions which drive improvement in business outcomes. • Use data profiling and visualization techniques using various tools to understand and explain data characteristics that will inform modelling approaches. • Mines data using state-of-the-art methods. Enhances data collection procedures to include information that is relevant for building data models. • Performs data pre-processing including data manipulation, transformation, normalisation, standardisation, visualisation and derivation of new variables/features. • Create and deliver business insights. • Maintain and enhance predictive models currently in production. • Identify, define and translate business needs/problems into analytical questions. • Apply statistical and computational methodologies to provide actionable insights and identify opportunities that optimize Gross Profit. • Assist with the development of scalable, efficient, and automated processes for large scale data analyses and model development, validation, and implementation. Other KPI's • Utilises advanced data analytics and mining techniques to analyse data, assessing data validity and usability; reviews data results to ensure accuracy; and communicates results and insights to stakeholders. • Identifies trends, patterns, relationships and discrepancies in data and determines additional data needed to support insight. Processes, cleanses, and verifies the integrity of data used for analysis. • Identifying, interpreting & explaining the factors giving rise to specific business outcomes. • Predicting & forecasting probable future business outcomes. • Identifying key factors of business operations to transform/eliminate/introduce in order to improve business outcome. • Develop, maintain and refine advanced mathematical and statistical models pertaining to various aspects of the business. • Apply various supervised and un-supervised learning techniques to various problems. • Predictive and Prescriptive modelling. • Solving hard analytical problems for the business. • Designs various mathematical, statistical, and simulation techniques to large and unstructured data sets in order to answer critical business questions and create predictive solutions which drive improvement in business outcomes. • Use data profiling and visualization techniques using various tools to understand and explain data characteristics that will inform modelling approaches. • Mines data using state-of-the-art methods. Enhances data collection procedures to include information that is relevant for building data models. • Performs data pre-processing including data manipulation, transformation, normalisation, standardisation, visualisation and derivation of new variables/features. • Create and deliver business insights. • Maintain and enhance predictive models currently in production. • Identify, define and translate business needs/problems into analytical questions. • Apply statistical and computational methodologies to provide actionable insights and identify opportunities that optimize Gross Profit. • Assist with the development of scalable, efficient, and automated processes for large scale data analyses and model development, validation, and implementation.