Position Summary:
To plan, build, optimise and implement innovative quantitative analytical methodologies, procedures, products and advanced mathematical models that provide analytical support and interpret insights, using advanced analytics technologies, to address business opportunities and problems and implement business strategy.
Required Education & Experience:
- Database management
- Concepts such as: Exploratory data analysis, Data Science Pipeline lines
- Monte Carlo techniques
- Big data modelling
- Dimensionality Reduction
- Experience – 3 – 5 years’ experience in a data environment, of which 1 – 2 years ideally at a at junior (entry level) management level
- C++ (used for high-frequency trading applications)
- Python, SQL, MATLAB, SAS, S-PLUS or R (used for statistical analysis)
- Object-oriented programming
- Data mining and data modelling
- Design thinking
- Scala and Spark
- Hands on experience using model such as: Naïve Bayes, Support Vector Machines, Classifications, Boosting Algorithms, Time Series, Feature Engineering and
- Analytics Ops, Agile and SAFe concepts will assist
- Machine learning
- Minimum Qualification – B Degree Maths, Stats, Engineering, Computer Science, Econometrics, Physics or Actuarial Science
- Data and Information Management topics e.g. structure, dimensions, storage
- Preferred Qualification – Honours Degree