Division Summary:

Standard Bank is a firm believer in technical innovation, to help us guarantee exceptional client service and leading edge financial solutions. Our growing global success reflects our commitment to the latest solutions, the best people, and a uniquely flexible and vibrant working culture. To help us drive our success into the future, we are looking for an experienced Data Scientist to join our dedicated IT team at our CVOP offices. Standard Bank is a leading African banking group focused on emerging markets globally.  It has been a mainstay of South Africa's financial system for 150 years, and now spans 16 countries across the African continent.
Job Purpose:

Responsible for the development, maintenance and 3rd level support of Analytical models.
Assists in creating new or enhanced components and frameworks of the data science stack.
Codes and documents scripts and stored procedures. Develops appropriate programs and systems documentation.
Work with business partners to understand their needs, and document these needs. 

Key Responsibilities/Accountabilities:

Work with IT teams, management and/or data scientists to determine organizational goals
Mine data from primary and secondary sources
Clean and prune data to discard irrelevant information
Analyze and interpret results using standard statistical tools and techniques
Pinpoint trends, correlations and patterns in complicated data sets
Identify new opportunities for process improvement
Provide concise reports and clear visualizations for management
Triage code problems and data-related issues
Develop conceptual designs or models to address requirements
Analyze problems to determine technical solutions
Decide what procedures will be required to solve technical problems
Identify new and existing products, technologies, and/or architectures to solve design, development, and operational problems
Identify new applications of known techniques
Analyze data using mathematical/statistical methods
Apply mathematical and computation methods and lines of reasoning
Document research processes, analyses and/or the results
Conduct analysis of metadata
Work with product leaders to design efficient experiments that help us decide what to build and whether what we built is working.
Be a champion for high quality data-driven decision-making throughout the company by helping other teams develop good metrics and their own data analysis skills.

Preferred Qualification and Experience:

Natural Language Processing: the interactions between computers and humans;
Machine learning: using computers to improve as well as develop algorithms;
Conceptual modelling: to be able to share and articulate modelling;
Statistical analysis: to understand and work around possible limitations in models;
Predictive modelling: most of the big data problems are towards being able to predict future outcomes;
Hypothesis testing: being able to develop hypothesis and test them with careful experiments.
Strong written and verbal communication skills;
Being able to work in a fast-paced multidisciplinary environment
Having the ability to query databases and perform statistical analysis;
Develop or program databases;
Advise senior management in clear language about the implications of their work for the organisation;
An understanding of how a business and strategy works;
Have a good understanding of design and architecture principles;
The ability to work autonomously
R /  Python / SAS / Hadoop / Spark experience
Science degrees (MSc, BSc) are typically best suited, but not a requirement

Knowledge/Technical Skills/Expertise:

Knowledge/Technical Skills/Expertise
BUSINESS KNOWLEDGE Level 1 – Entry - Aware of and understand banking from the perspective of their immediate role and Business Unit.
Level 2 – Intermediate – Demonstrates solid industry understanding with tactical insight into the broader Banks strategy and objectives. X
Level 3 – Expert – Has solid insight into local and global industry dynamics and associated value propositions. Utilises sophisticated business savvy and strategic thinking to position and reposition the business unit.
ANALYSING REQUIREMENTS Level 3 – Good exposure
Level4 – Extensive knowledge
Level5 – Can teach someone X
ADMINISTRATION Level 3 – Good exposure X
Level4 – Extensive knowledge
Level5 – Can teach someone
TECHINCAL DESIGN & CONSTRUCTION Level 3 – Good exposure
Level4 – Extensive knowledge X
Level5 – Can teach someone

Personal Attributes:

Good oral and written communication
Must be task orientated and driven
Innovative
Good initiative
Demonstrate problem analysis and solving skills
Stress Management
Good relationship building