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Team Leader: Decision Science

Capitec Bank Ltd.

Sandton

On-site

ZAR 900,000 - 1,200,000

Full time

2 days ago
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Job summary

A leading bank in South Africa seeks a self-motivated individual to lead their Decision Science team. This pivotal role involves analyzing business data to inform strategic decisions, ensuring adherence to organizational goals. Ideal candidates will possess an Honours Degree in Mathematics or Statistics and extensive analytical experience, including leadership. Join a forward-thinking bank committed to excellence and diversity.

Qualifications

  • Over 6 years’ experience in an analytical science role.
  • At least 3 years' in a Leadership or Management role.
  • Experience in data mining and predictive modelling.

Responsibilities

  • Lead the Decision Science team, prioritizing analysis for strategic insights.
  • Ensure alignment of delivery with goals and standards.
  • Engage and manage stakeholder relationships.

Skills

Numerical Reasoning
Analytical Skills
Researching
Presentation
Planning
Attention to Detail
Communication
Interpersonal Skills
Leadership

Education

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

Tools

SAS
SQL
R
Python

Job description

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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, pleaseclick here!

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

  • 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
  • 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
  • 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:

Skills
  • Numerical Reasoning skills
  • Analytical 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.

Capitec Bank is an authorised financial services provider (FSP 46669) and registered credit provider (NCRCP13). Capitec Bank Limited Reg. No: 1980/003695/06

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