Manager - Financial Decisioning
Key Performance Areas : Credit Analysis
Data Mining and Machine Learning Initiatives
Forecasting, Simulation and Optimisation Initiatives
Information and Knowledge Sharing
Customer Relations and Satisfaction
Quality Management and Improvement
Minimum Requirements : Education :
3yr Bachelor's degree / Diploma or equivalent in Finance / Economics / Maths
Honours Degree in Statistics / Maths / Actuarial will be an added advantage
Experience leveraging tools like SAS, SAS Enterprise Miner, R, PHP, Python, Hadoop & SQL to drive efficient analytics
Technical knowledge of data centre operations and production servers in an analytical context.
Global Experience Standards (5)
Minimum of 5 years’ experience in credit and risk, analytical and statistical analysis
Experience working in a medium to large organization
Experience in management of analytical resources to deliver sound and accurate analytical driven solutions
Job related Experience :
Working knowledge of data mining principles : predictive analytics, mapping, clustering, collecting data from multiple data systems on premises and cloud-based data sources.
Working knowledge of machine learning techniques, for example : Support Vector Machine, Naïve Bayes, K-Nearest Neighbours, K-
Means, Random Forest, Dimensionality Reduction Algorithms, Deep Learning techniques and Gradient Boosting Algorithms.
Experience and knowledge of statistical modelling techniques : GLM multiple regression, logistic regression, log-linear regression, variable selection, etc.
Understanding of and experience using analytical concepts and statistical techniques : hypothesis development, designing tests / experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.
Strong SQL and SAS skills, ability to perform effective querying involving multiple tables and subqueries.
Experience writing advanced SAS code statements, models, and macros.
Experience using analytics techniques to contribute to company growth efforts, increasing revenue and other key business outcomes.
Strong problem solving, quantitative and analytical abilities.
The right candidate will also be proficient and experienced with the following tools / programs : Strong programming skills with querying languages : SQL, SAS, R, Python, etc.
Experience with big data tools : Teradata, Aster, Hadoop, etc. Experience with other Analytics tools will be beneficial : C, C++, JAVA, or other programming languages
Experience with Excel (incl. VBA), Word, Access and PowerPoint.
R500 000 - R700 000 pa