JOB DETAILS:
Job Description
To assist in applying data mining techniques and conduct statistical analysis to large, structured, and unstructured data sets to understand and analyse phenomena. Model business problems, discovering insights and opportunities through statistical, algorithmic, machine learning and visualization techniques, working closely with clients, data, and technology teams to turn data into critical information used to make sound business decisions.

• Assist with gathering of data for use in Data Science models, ensuring that chosen data sets best reflect the organizations goals.
• Perform data pre-processing including data manipulation, transformation, normalisation, standardisation, visualisation, and derivation of new variables/features.
• Utilise advanced data analytics and mining techniques to analyse data, assessing data validity and usability; reviews data results to ensure accuracy; and communicate results and insights to stakeholders.
• Assist various mathematical, statistical, and simulation techniques to typically large and unstructured data sets to answer critical business questions and create predictive solutions which drive improvement in business outcomes.
• Code, test, and maintain scientific models and algorithms and identify trends, patterns, and discrepancies in data and determines additional data needed to support insight. Processes, cleanses, and verifies the integrity of data used for analysis.
• Liaise and collaborate with the Data Science Guild providing support to stakeholders in the department for its data centric needs. Collaborate with subject matter experts to select the relevant sources of information and translates the business requirements into data mining/science outcomes. Present findings and observations to team for development of recommendations.
• Develops modelling solutions that enable the forecast of quality data outcomes. Ensures that volumetric predictions are modelled so that resource requirements are optimally considered. Supporting reporting production ensuring sustainable and effective modelling solutions

Qualifications
• Bachelors Degree in Information Studies / Information Technology/Computer Science/ Data science or related from a reputable Institution.
• Proficiency in applications and web development. structured and unstructured query languages e.g., SQL, Qlik sense; Tableau, Python, C#, Java, C++, HTML, SaS
• Understanding of financial services data processes, systems, and products with experience in technical business intelligence. Knowledge of IT infrastructure and data principles.
• Experience in working with unstructured data (e.g., Streams, images), understanding of data flows, data architecture, ETL and processing of structured and unstructured data. Using data mining to discover new patterns from large datasets. Implement standard and proprietary algorithms for handling and processing data.

Additional Information
Behavioral Competencies:
• Articulating Information
• Challenging Ideas
• Checking Details
• Developing Expertise
• Developing Strategies
• Embracing Change
• Establishing Rapport
• Generating Ideas
• Interacting with People
• Interpreting Data
• Making Decisions
• Producing Output

Technical Competencies:
• Risk Reporting
• Quantitative and analytic
• Risk Response Strategy
• Project Management
• Building models (credit scoring, propensity models, churn, etc.).
• SAS, R, SPSS, etc.
• Power BI, Tableau, etc.
• Effective Communications