Data Scientist I needed at WesBank

Job Description

• To build, optimise and implement innovative quantitative analytical methodologies, procedures, and advanced mathematical models that provide analytical support and interpret insights, to address business opportunities and problems and implement business strategy, under guidance against predicted results and deliver according to set processes and procedures.

Hello, Data Scientist I

• 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

• This role is within the WesBank Data Office team. The purpose is to deliver analytical insights that supports the retail business at large, with special focus on Private Banking and Advisory as our main stakeholder. Some of the core team deliverables refer to Customer Segmentation and Data Feature Engineering. This is achieved through robust data modelling and analysis as well as statistical modelling.

Key responsibilities

• Good understanding of Data Analytics in a large financial services organisation.
• Understand both the technical points of Data Management and Analytics, as well as the business drivers and needs.
• Understands how to work with big data and transform data to be suited for modelling or other analytical insights.
• Strong technical and coding proficiency (SAS & SQL).
• Hard working individual that can work well under pressure.
• Able to translate business requirements into tangible, creative solutions with guidance.
• 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 generous leave policy to cater for your individual needs.
• Preferential employee banking rates that include Vehicle and Home loans

Qualification and Experience

• Minimum Qualification: B Degree in Mathematical Sciences, Statistics, Actuarial Science or related degree
• Preferred Qualification: Honours Degree
• Experience: 1 – 2 years’ experience within Data Analytics or Customer Analytics
• Experience in Model development, maintenance and optimisation of existing models will be advantageous.
• Intermediate level of proficiency to code in SQL is required
• Intermediate level of proficiency to code in SAS will be advantageous
• Intermediate skills in Python or R would be beneficial