Manager - Financial Decisioning - 12200

Manager - Financial Decisioning
R725 577 Per Annum
Job No: 12200

Mission/ Core purpose of the Job: (Short description)
To implement the modelling, analysis, data mining and machine learning efforts within the Financial Analytics team. This includes support within the credit life cycle of acquisitions, maintenance, and legal collections as well as within the Supply Chain, Treasury, Revenue Assurance and Procurement.

Key Performance Areas:
Credit Analysis:
  • Conduct analysis and recommend risk mitigating initiatives utilising data mining and modelling techniques
  • implement and maintain credit scorecards within vetting, collections and billing environments
  • Advise on credit policy and strategy that includes acquisition, maintenance and collections
  • Conduct statistical analysis on all available data sources to evaluate risk 
  • Conduct continuous analysis on efficient affordability and credit limit assignment within post-paid portfolio
  • Implement alternative affordability metrics and algorithms to be used within Consumer, SME, Corporate and pre-paid portfolios.
  • Monitor reports and provide input into credit scoring strategies and models 
  • Monitor report on; and provide input into customer usage facility management strategies
  • Contribute to the development and implementation of credit related projects
Audit Engagement:
  • Assist with the Financial audits in fielding or referring questions and requests from the auditors, specifically relating, but not limited to the IFRS 9 impairment calculation.
  • Liaise with auditors around their requirements and give input into their requirements specifically around credit impairment
  • Address weaknesses identified by the auditors and implement recommendations for Financial Control and Support
Data Mining and Machine Learning Initiatives:
  • Implementation of methodologies and processes to organize and aggregate large datasets to expedite actionable insights from all available data sources.
  • Ensure the best tools and methodologies are being used in the extraction of data, as well as execution on advanced analytics initiatives within the finance organization. 
  • Continuous engagement with data management & integration and EIS teams on key metrics, calculated measures and data attributes that are required/developed for analytical use.
  • Leverage data, machine learning and business principles to identify and solve complex business problems for the wider finance organization.
  • Ensure that the return on investment in advanced financial analytics resources and technology is realised by keeping abreast with strategic requirements from senior management and that these are aligned to internal projects being actioned. 
  • Champion/Challenger (A/B Testing) of current implemented models and methodologies, incorporating innovative and market leading analytics to improve production models and processes. 
  • Leverage analytical models to identify insights that are used to drive key decisions across the finance organization.
  • The use of algorithms and programming techniques to efficiently go through large datasets and apply treatments, filters and conditions to identify inefficiencies and opportunities.
  • Enhance the value of datasets by feature engineering techniques, not only within the risk environment, but within all divisions in the finance organization.
  • Ensure that advanced financial analytics techniques that are relevant within non-traditional divisions are identified and actioned. 
Forecasting, Simulation and Optimisation Initiatives:
  • Continuous investigation into potential optimization opportunities within finance organization.
  • Design, development and scenario modelling on optimization models within operational, strategic or business disciplines. 
  • Conduct data manipulation, analysis and data extraction for forecasting and model building as and when required
  • Evaluate system solutions for optimization of credit vetting and collections.
  • Review and provide input to Financial Management policies & procedures, making recommendations as necessary.
  • Development of forecasting and simulation models within the finance and commercial environment to ensure that strategic planning, key value drivers and profitability can be stressed, evaluated and can drive decision making. 
Information and Knowledge Sharing:
  • Maintenance of expert knowledge on relevant legislative amendments, industry best practices and provision of proactive advice and solutions to relevant stakeholders.
  • Drive innovation within the financial modelling environment
  • Research into best practices regarding the development, maintenance and use of statistical and behavioural scorecards, machine learning and data mining techniques within finance
  • Recommend additional information that may be included in monthly and quarterly financial analytics reports.
  • Summarise findings, developing recommendations and presenting analyses to management in a clear, concise, convincing, and actionable format.
  • Keep abreast of technical updates relating to statutory and Consumer Shared Services issues and ensure compliance.
  • Provide training and guidance to less experienced members of the financial analytics team. 
  • Ensure that even though advanced financial analytics techniques are utilised, that simplicity and ease of use is still at the core of the modelling and insights initiatives within the financial analytics team. 
  • Management of decision engine (incorporated into Company vetting and case management solution)
  • Ensuring that acquisition strategy embedded in decisioning is in line with strategic direction of the Company and that maximum benefit is obtained from the investment into the decision engine.
  • Continuous enhancement of acquisition policy through simulation, champion/challenger and optimization of the credit, business and acquisition policy.
  • Ensuring that new initiatives within the scoring environment are tested and implemented within the decision engine to ensure market trends and opportunities can be capitalised on.
  • Maintain and improve decisioning capabilities within the post-paid environment and ensure that the decisioning environment remains dynamic, innovative and can respond quickly to market and sales demands.
  • Monitor rules and actions that are performed within the decision engine regularly to iron out inefficiencies and ensure a consistent application process for customers.
  • Implement of a optimization engine within the Finance organization to assist with optimization efforts within key strategic areas, for example profitability optimisation, feasibility studies, product feasibility analysis, collection strategy optimization, acquisition strategy optimisation, affordability and credit limit optimization, etc.
  • In addition to the core performance areas noted above, it is important that this role ensures internal client satisfaction, quality management and resource and process continuity.
Customer Relations and Satisfaction:
  • Liaise with the various customers on their finance and service/support requirements
  • Liaising with internal and external stakeholders to ensure the right solutions are developed and implemented
  • Provide input on request from other functional areas.
  • Align service delivery to changing environment
  • Understand customer needs and develop and fine-tune systems accordingly
  • Ensure customer needs and requirements are satisfied through appropriate systems / processes / procedures
  • Put contingency plans in place to prevent delays and enhance the customer experience 
  • Adopt a proactive approach to prevent problems from arising in the future
  • Drive continuous improvement as an important element of service delivery
  • Partner with and lead multiple cross-functional teams to define problem statements, collect data, build optimization models and make recommendations
Quality Management and Improvement:
  • Ensure compliance to rules and procedures to ensure sound risk management 
  • Input into the establishment of systems and sound practices to comply with best practices, legislation or other regulations/ guidelines
  • Establish and maintain quality standards that will enhance the customer experience and cost efficiency
  • Work consistently according to standard operating procedures 
  • Understand the quality standards of the job and the reason for these standards, and communicate these reasons to others 
  • Understand and communicate the consequences of not maintaining quality focus 
  • Identify processes and procedures where the quality of work may be improved 
  • Seek feedback from clients/ stakeholders and continuously seek ways of improving on quality and customer service standards
  • Ensure all operational plans by management for department are implemented within agreed deadlines 
  • Seek to be transparent, detailed and have well documented tasks within the job requirements, for the tasks to be taken over by other resources in your absence and to ensure continuity of modelling requirements and in-flight data and financial science projects within the CFO team.

  • 3yr Bachelor's degree /Diploma or equivalent in Finance/Economics/Maths
  • Honours Degree in Statistics / Maths / Actuarial will be an added advantage
  • Experience leveraging tools like SAS, SAS Enterprise Miner, R, PHP, Python, Hadoop & SQL to drive efficient analytics
  • Technical knowledge of data centre operations and production servers in an analytical context. 
Global Experience Standards :
  • Minimum of 5 years’ experience in credit and risk, analytical and statistical analysis
  • Experience working in a medium to large organization 
  • Experience in management of analytical resources to deliver sound and accurate analytical driven solutions