Finance Modelling / Data Scientist at Absa Group Limited (Absa)

Job Summary

• The focus of the role includes advanced analytics on the Everyday Banking Customer base, including Segmentation and Clustering of customers and customer behavior. This includes the prediction of customer related KVD’s such as primacy, customer numbers, customer retention and other behavioral metrics.

Job Description

Analysis (including Business Case)

• Proactively build relationships, apply analytical techniques to elicit and validate business (product & service) needs ahead of demand
• Implement routines to get to know / become an expert in various business processes (e.g. spend time in business & with users)
• Translate elicited needs and knowledge acquired into user story format that is immediately usable for DevOps teams (right languaging, format for building & testing)
• Prepare and prioritise the backlog of requirements for the user stories linked to the proposed solutions
• Define measures of success & key outcomes for various solutions / changes including detailed acceptance criteria for all features
• Support the development of detailed business cases (including defining solution characteristics, effort estimations etc.)

Model Building (Data Science)

• Apply relevant research methodologies, tools and techniques to effectively and purposefully gather information.
• Understand and apply existing best practice frameworks to assist in the implementation of identified subject matter processes and standards.
• Provide specialist advice and support in area of accountability to ensure that identified solutions and recommendations are appropriate and effective.
• Develop and retain models on customer behavior, retention and segmentation
• Build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organization
• Use machine learning tools and statistical techniques to produce solutions to problems
• Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods
• Conduct research from which you'll develop prototypes and proof of concepts
• Look for opportunities to use insights/datasets/code/models across other functions in the organisation 
• Stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work.
• Development of standardised modelling of behaviour/retention/value in customers
• Maintenance of dictionaries: codes, dimensions, setting up tables etc
• Run and compare models on a regular basis
• Run Cluster specific scenarios to cover specific local issues
• Business process maintenance (segmentation, primacy etc)
• Produce appropriate documentation and training material to enable handover to a BAU team.
• KVD Predictions
• Using and deriving value from implemented models

People

• Provide coaching & mentoring across the team as well as to developing analysts across the estate
• Conduct peer reviews & problem solving within and across the broader team

The following degrees and/or subjects may be particularly useful:

• data science
• industrial engineering
• mathematics
• statistics
• actuarial science
• business mathematics and informatics

Education

• Bachelor's Degree: Information Technology