Team Leader: Decision Science (Sandton)

Capitec; Sandton; On-site; ZAR 80,000 - 110,000; Full time

Job summary

Capitec is seeking an experienced leader to guide their Decision Science team. The role focuses on turning business data into strategic insights, requiring an honours degree in Mathematics or Statistics and extensive analytic experience. Ideal candidates will have a strong background in the banking sector with well-developed leadership and analytical skills.

Qualifications

• Over 6 years’ experience in an analytical role, with at least 3 in a leadership setting.
• Expertise in data mining and predictive modeling.
• Ability to manage stakeholder relationships effectively.

Responsibilities

• Lead the Decision Science team to translate data into strategic information.
• Ensure compliance with objectives and standards in analysis.
• Manage and deliver within a fast-moving environment.

Skills

Numerical Reasoning

Analytical Skills

Problem Solving

Decision Making

Researching

Presentation

Planning and Organising

Attention to Detail

Communication

Interpersonal & Relationship Management

Leadership

Education

Honours Degree in Mathematics or Statistics

Grade 12 National Certificate

Masters Degree in Mathematics or Statistics

Tools

SAS

SQL

R

Python

Job description

Apply By

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:

• To see what life at Capitec is all about and complete a short assessment, please click here!
• 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
• Credit 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
• Credit environment / industry
  
  

Skills

• Numerical Reasoning skills
• Analytical Skills
• Problem solving skills
• Decision making skills
• Researching skills
• Presentation Skills
• Planning, organising and coordination skills
• Attention to Detail
• 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.