Risk Graduate Programme at Standard Bank (Grads: Stats, Maths, Data Science, Computer/Actuarial Science, Information Systems, Computational and Applied Mathematics, Econometrics)
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Risk Graduate Programme at Standard Bank (Grads: Stats, Maths, Data Science, Computer/Actuarial Science, Information Systems, Computational and Applied Mathematics, Econometrics)

Personal & Private Banking (PPB) Risk Graduate Programme

Job Overview

Business Segment: Personal & Private Banking

Location: ZA, GP, Johannesburg, Baker Street 30

Job Type: Full-time

Job ID: 80424479

Application closing date: 30 June 2024


Job Description

We’re looking for talented individuals to join our Risk Management division as Graduate Trainees.

The aim of our 18-month graduate programme is to equip you with skills and experiences deemed necessary to set you up for becoming a skilled Risk Practitioner, with guidance and support from Senior Executives & Managers who run the Risk Management portfolios.

Through a series of rotations, you will learn how risk is managed in the bank and gain extensive experience in a wide range of analytical areas within the Personal & Private Banking (PPB) Risk business unit. These areas include Decision Science, Credit Solution Engineering, Lending portfolios (i.e., Credit Card, Home Finance, Car Finance and Personal Loans), Fraud Risk Management and Non-financial risk.

You will be recruited as a permanent employee from the start of the program and placed into a team of choice, after rotations conclude.

During this 18-month programme you can look forward to:

  • Learning about the Credit Lifecycle

  • Participating in value adding projects

  • Ad hoc reporting, insights and analytics to inform business decisions

  • Collaborating with various teams

  • Learning/improving coding skills

  • Driving modernisation of digital credit solutions/strategies in Africa Regions

  • Contributing to fraud insights and analytics

  • Scorecard, capital, impairments and/or machine learning model monitoring and/or development

  • Building credit strategies

  • Using data science tools to automate risk assurance processes


Qualifications

Masters or Honours in:

BSc / BCom / BDatSci 

  • Statistics

  • Data Science

  • Pure Mathematics

  • Actuarial Science

  • Informatics/ Information Systems

  • Computer Science

  • Computational and Applied Mathematics

  • Econometrics

  • Behavioural Economics


Additional Information

Minimum requirements:

  • South African Citizen

  • Should you have work experience, it should not exceed 18 months 

  • Full academic transcripts to be submitted with application for undergraduate and postgraduate studies



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