Lead: Decision Science at wePlace

Purpose Statement

• To ensure the deliverables within the area of responsibility aligns with the objectives, plans, processes and standards of Credit Decision Science (Collections, Recoveries, Account Management)
• To lead a team of specialists within the (Collections, Recoveries and Account Management) function to perform analysis to translate active business data into usable strategic information to inform the business on any critical and measurable credit and risk indicators.
• To perform analysis to translate active business data into usable strategic information to inform the business on any critical and measurable credit and risk indicators.

Experience

• 4 years’ relevant experience in data science
• Experience must include the following (within the Retail Credit Risk Management Environment):
  • Extracting and Aggregating Data from Large Relational Databases
  • Data Mining and Predictive Modelling
• Preferred:
  • Leadership demonstrates in project/ leading of analyst/ data scientist

Qualifications (Minimum)

• Honours Degree in Mathematics or Data Science

Qualifications (Ideal or Preferred)

• Master’s Degree in Mathematics or Data Science

Knowledge

• Analytics
• Predictive Modelling and Machine Learning
• Project management methodologies
• IT implementation cycle
• Credit cycle
• Technical understanding and knowledge (different operating systems / databases / programming languages)
• General business acumen to identify the impact technical issues may have on design and delivery of solutions.
• Best practices and tools in credit risk
• Interpretation of user requirements and translation into business requirements specifications
• Retail credit environment / industry
• Confidentiality and intellectual property implications and constraints
• Interpretation of user requirements
• Translation of business requirements into business requirement specifications

Skills

• Communications Skills
• Numerical Reasoning skills
• Analytical Skills
• Reporting Skills
• Computer Literacy (MS Word, MS Excel, MS Outlook)
• Attention to Detail
• Programming skill (SAS, SQL, R, Python)
• Commercial Thinking Skills
• Interpersonal & Relationship management Skills
• Leadership Skills