Team Leader: Decision Science (Stellenbosch)

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We're on the lookout for energetic, self-motivated individuals who share our passion for service in the banking industry. To be part of the journey, follow the steps below:

1. To see what life at Capitec is all about and complete a short assessment, please click here!

2.  Once you have completed the above finalize your application by clicking apply below

Purpose Statement

• To Lead a Decision Science team, prioritising and overseeing analysis to translate active business data into usable strategic information which informs the business regarding critical and measurable Credit and risk indicators.
• To ensure that the delivery within the area of responsibility aligns with the objectives, plans, processes, and standards of Decision Science.

Qualifications (Minimum)

• Honours Degree in Mathematics or Statistics
• Grade 12 National Certificate / Vocational

Qualifications (Ideal or Preferred)

• Masters Degree in Mathematics or Statistics

Experience and Knowledge

Minimum Experience:

• Over 6 years’ proven work experience in an analytical science role (of which, at least 3 years' experience in a Leadership or Management role requiring validating work)
• Extracting and aggregating data from large relational databases
• Data mining and predictive modelling
• Programming (SAS, SQL, R, Python)
• Stakeholder relationship engagement and management
• Responsibility for delivery in a fast-moving environment
• Developing scorecards from scratch

Minimum Knowledge:

• Advanced analytics
• Interpretation of user requirements and translation into business requirements specifications (business analysis requirements gathering)
• Business acumen to identify the impact technical issues may have on design and delivery of solutions
• People management practices and principles
• Project management methodologies
• IT implementation cycle
• Best practices for Decision Science (such as reusability, reproducibility, continuous monitoring, etc.)
• Deep technical understanding of state of the art statistical (predictive and classification) model development and deployment principles and techniques including traditional Scoring (logistic regression with binning and missing value replacement (e.g., reject inference), Machine Learning (neural networks, SVM, random forests, etc.), and Quantitative Analysis (time value of money, etc.) - and able teach to a broad technical audience
• Underlying theory / principles and application of Machine Learning models / language

Ideal Experience and Knowledge:

• Banking / Financial sector
• Retail credit environment / industry (Credit cycle)

Skills

• Planning, organising and coordination skills
• Numerical Reasoning skills
• Attention to Detail
• Researching skills
• Analytical Skills
• Problem solving skills
• Decision making skills
• Presentation Skills
• Communications Skills
• Interpersonal & Relationship management Skills
• Leadership Skills

Conditions of Employment

• Clear criminal and credit record

Capitec is committed to diversity and, where feasible, all appointments will support the achievement of our employment equity goals.