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Data Scientist Iii

2 weeks ago

Randburg, South Africa FirstRand Full time

About us, purpose, experience and qualifications

**about us**:
**purpose**:

- 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**experience and qualifications**:

- Minimum Qualification - B Degree Maths, Stats, Engineering, Computer Science, Econometrics, Physics or Actuarial Science
- Preferred Qualification - Honours Degree
- Experience - 3 to 5 years experience in a data environment, of which 1 to 2 years ideally at a at junior entry management level
- AdditionalKnowledge - Additional Knowledge - Deepdomain knowledge with regards to financial services: Credit, Pricing,Marketing, CVM, Trading etc.
- Designthinking
- AnalyticsOps, Agile and SAFe concepts will assist
- Conceptssuch as: Exploratory data analysis, Data Science Pipeline lines
- Handson experience using model such as: Naïve Bayes, Support Vector Machines,Classifications, Boosting Algorithms, Time Series, Feature Engineering and
- DimensionalityReduction
- Dataand Information Management topics e.g. structure, dimensions, storage
- Object-orientedprogramming
- Bigdata modelling
- Databasemanagement
- Python,SQL, MATLAB, SAS, S-PLUS or R (used for statistical analysis)
- MonteCarlo techniques
- Machinelearning
- Datamining and data modelling
- Scalaand Spark
- C#/Java,.NET or VBA, Excel
- Mathematicalskills
- Calculus(including differential, integral and stochastic)
- Linearalgebra and differential equations
- Numericallinear algebra
- Probabilityand statistics
- Gametheory
- Portfoliotheory
- Equityand interest rate derivatives, including exotics
- Systematicand discretionary trading practices
- Credit-riskproducts
- Financialmodelling
- Datavisualisation and reporting**additional requirements**:

- No Referral plan is assigned to this job

**responsibilities**:

- Deliver customer experience excellence in own service delivery aligned to Organisational values and service standards
- Provide input into the budget and manage and report on budget usage that reflects delivery of planned work within agreed parameters
- Control expenditure and identify process improvements to contain and reduce costs
- Utilise, refine and enhance advanced statistical models and data analysis to inform decision making and address business needs
- Develop and implement advanced statistical models and data analysis to optimise processes, inform strategic decisions and meet current and future business requirements, reduce risk and generate profits
- Deliver value add outputs across the analytics value chain in delivery of business strategy
- Implement localised Analytics strategy to address business needs
- Participate in planned activities that are appropriate for own development
- Develop, encourage and nurture collaborative relationships across area of specialisation
- Manages risks in own area of responsibility
- Build working relationships across teams and functional lines to enhance work delivery, collaboration and innovation