Data Scientist

3 weeks ago

Centurion, South Africa Risk Management Full time

**Introduction**

Through our client-facing brands Metropolitan and Momentum, with Multiply (wellness and rewards programme), and our other specialist brands, including Guardrisk and Eris Property Group, the group enables business and people from all walks of life to achieve their financial goals and life aspirations.

**Role Purpose**

The Data Science and Analyst Audit Lead is currently recruiting for a Data Scientist to assist in creating and delivering data-driven solutions that will add business value through the use of statistical models, machine learning algorithms, data mining and visualisation techniques throughout the Internal Audit (IA) cycle.

**Requirements**:

- Post graduate degree in Mathematics, Economics, Statistics, Engineering or Computer Science field.
- 4 years data analysis experience within the financial services environment.
- Experience with at least one programming language (e.g. Python), business analytics software (e.g. SAS) statistical package (e.g. R).
- Experience in database language (e.g. SQL).
- Exposure to Audit and assurance (IT related Audit and Advisory) and Risk Management disciplines is an advantage.

**Duties & Responsibilities**
- Assist the function in strategic recommendations on data collection and experimental design incorporating business requirements and knowledge of best practices.
- Collaborate with business to define approach to resolution of key business problems or development of new business strategies.
- Be able to identify, understand and interpret data structures across various databases within the business to facilitate data analysis and continuous monitoring activities.
- Present data analysis (trends, insights, forecasts), to show tangible business impact to be derived from the data science process.
- Contribute to the development of differentiated; superior solutions that meet stakeholder and business requirements through analysis; business requirements gathering and designs validation.
- Adopting of agile work practices and working closely with senior members of the IA team to collate, consolidate and visually present data-led insights for reporting and planning.
- Assist in modelling and framing business scenarios that are meaningful and which impact on critical business processes and/or decisions.
- Participate in the discovery of processes with business stakeholders to identify problems and opportunities that may be addressed with statistical modelling or machine learning.
- Use advanced data science skills to mine and interpret IA data. These include but are not limited to: advanced statistics, data wrangling, data mining, data analysis, feature engineering and predictive modeling, distributed computing, machine learning tools and data intuition, to analyse and interpret complex IA data-sets for reporting and planning.
- Have ability to collaborate within a multi-disciplinary and specialist environment. To co-create with other teams across different business units.
- Experience in translating statistical findings into business recommendations.
- Formulating business problems and scenarios to enable statistical modelling.
- Have ability to communicate the outputs and insights to the relevant stakeholders.
- Assist in coming up with solutions to enhance cost effectiveness and increase operational efficiency.

**Competencies**
- Business Acumen
- Client/ Stakeholder Commitment
- Drive for Results
- Leads Change and Innovation
- Problem solving
- Analytical thinking
- Attention to detail
- Process and Technical Thinking
- Data Mining
- Collaboration
- Self-Awareness and Insight
- Communication
- Written skills

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