Data Scientist

2 weeks ago

Johannesburg, Gauteng, South Africa WesBank Full time
Job title : Data ScientistJob Location : Gauteng, JohannesburgDeadline : March 17, 2025Quick Recommended Links
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Job Description

  • To plan, build, optimise and implement innovative quantitative analytical methodologies, procedures, products and advanced mathematical models that provide analytical support and interpret insights, to address business opportunities and problems and implement business strategy, with minimal guidance.

Hello, Data Scientist

  • Welcome to WesBank, the home of the #Changeables.
  • We design for the shapeshifters and deliver products and services that make us incredibly proud of the people that make it happen. We are creating a world class lending and credit risk capability, establishing the gold-standard through thought leadership and execution. As part of our credit community, you get to apply your skills to a diverse lending market, adapting and thriving while doing so. We strive to consistently develop better ways to partner with customers through lending, lifting society in doing so.

Role Purpose

Are you someone who:

  • Enjoy using data to gain an in-depth understanding of business objectives, the development of solutions to translate new business acquiring, to strategic objectives (This starts with setting risk appetite and stretches all the way to setting limits that we should offer at a competitive interest rate.) 
  • The role will also require an understanding of the quantitative balance between risk and reward, to enable risk based analytical decisions.
  • Working closely with product owners to ensure alignment on the value proposition that will impact the future of the business.
  • As solutions mature, performance monitoring and enhancement of new business strategies will be key.
  • Work closely with the greater credit analytics team and community to continuously evolve and adapt to the multiple changes in the economy and competition. As such, Innovation is at the forefront of how we do business and putting our customers first.
  • Understand how to work with big data and transform data to be suited for modelling or other analytical insights.
  • Strong coding proficiency (preferably SAS).
  • Can work well under pressure.
  • Able to translate business requirements into tangible, creative solutions with guidance.
  • Perform end-user scorecard, credit strategy testing and propose refinement and/or adjustments.

We can be a match if you are:

  • Curious & courageous – you're driven by always wanting to know more and learn more and you're brave enough to take action.
  • Obsessed with mastery – you know what it takes to become good at what you do and are constantly pushing yourself to achieve this.
  • A team player – you believe in the power of teams, building and leveraging your networks.
  • Emotionally intelligent – you are able to connect with people to build trust

As a #Changeable you will have access to:

  • Opportunities to network and collaborate.
  • Opportunities to innovate.
  • Flexible working environment
  • Focus on health and wellbeing.
  • Coaches and mentors to help with your professional development.
  • A very generous leave policy to cater for your individual needs.
  • Preferential employee banking rates that include Vehicle and Home loans

Qualifications and Experience

  • Do you have experience in any of these parts of the credit value chain:
  • Setting or optimising of credit risk appetite and/or product strategies
  • Using data and analytics to provide insights into a credit portfolio or product
  • Model development and maintenance / optimisation of existing models
  • Intermediate to advanced coding skills in SQL essential
  • Intermediate to advanced skills in SAS and Python would be beneficial.
  • Understand how to work with big data and transform data to be suited for modelling or other analytical insights.
  • Interested in the relation between risk & reward in optimising the portfolio or product
  • Minimum Qualification: Have a relevant Degree in Mathematical Sciences, Statistics, Data Engineering and/or Actuarial Science.
  • Preferred Qualification: Honours Degree
  • Experience: A minimum of 3 year's relevant experience within a similar environment 
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