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To apply, click on the link at the end of the posts and all the best with your applications.

Behavioural Economics Graduate

Job Purpose

Nedbank is inviting ambitious, driven individuals eager to commence their career journey in behavioural economics to apply for our comprehensive Behavioural Economics Graduate Program. We are seeking a forward-thinking graduate, keen to leverage their skills to drive positive change and contribute meaningfully to helping our clients manage their money better.

This opportunity places you at the core of our strategic business objectives, enabling you to conduct in-depth research and provide beneficial insights to help shape our products and services. As part of this program, you form part of a team of trusted advisor, offering high-quality data and analysis that align seamlessly with our organisational vision, enhancing our client insights and fortifying our competitive edge.

With a focus on qualitative and quantitative research and experiments, you will delve into complex analysis, synthesising your findings into actionable recommendations to facilitate strategic, data-driven business decisions. This pivotal role will see you collaborating with diverse stakeholders, providing valuable insights and analyses in service of delivering a leading customer experience. 

Join our team and leverage your unique capabilities to make a palpable impact in the field of behavioural economics, promoting financial well-being for our clients and contributing to the ongoing success of our organisation. We eagerly anticipate your application and look forward to fostering your development as an expert in your field.

Job Responsibilities

  • Support the Behavioural Economics unit within Nedbank Retail and Business Banking to apply behavioural science to the design and execution of better money management solutions for clients across the bank.
  • Undertaking research, designing behavioural interventions, and undertaking business experiments to measure the impact of proposed solutions on client behaviours
  • Conduct literature reviews on existing behavioural science evidence on financial decision making and related behavioural interventions.
  • Effectively package and communicate the findings of primary and secondary research to business units.
  • Support training to business units on behavioural insights relevant to their business units.
  • Support the effective knowledge management and curation of primary and secondary research through an online library and internal newsletter.
  • Meet internal and external client needs by delivering quality and original research.
  • Establish relationships with clients through constant engagement.
  • Contribute to a culture conducive to the achievement of transformation goals by participating in Nedbank Culture building initiatives (e.g. staff surveys etc.).
  • Mitigate risk by managing research databases and meeting compliance and regulatory requirements through consultation with Compliance Division.
  • Assist in positioning the BE Unit as valued business partner through proactive engagement and networking with internal and external stakeholders.
  • Build and manage vendor relationships through engagement regarding business needs.
  • Monitor performance by aligning own contribution to delivery of departmental plan against expected outcomes.
  • Utilise resources by prioritising available resources versus stakeholder and regulatory requirements while being cognisant of cost.
  • Share knowledge and industry trends with team and stakeholders during formal and informal interaction.
  • Support the achievement of the business strategy; objectives and values by reviewing Nedbank and Business Unit Plan and ensuring delivered systems; process; services and solutions are aligned. Identify training courses and career progression for self through input and feedback from management.
  • Ensure all personal development plan activities are completed within specified timeframe.
  • Resolve work obstacles by managing on a case-by-case basis and early escalation where required.

Essential Qualifications

  • Hons Degree in economics, psychology, anthropology or the social sciences

Preferred Qualification

Successfully completed:

  • Master’s Degree in economics, psychology, anthropology, or social sciences
  • For psychology students if you want to register with the HPCSA you will have to do your own tailored programme

Minimum Requirement

You must: 
•    18 and above
•    be passionate about behavioural economics & behavioural science. 
•    Have a background in research; and
•    have a clear criminal and credit record.

Type Of Exposure

  • Building and maintaining effective relationships with internal and external stakeholders
  • Analysing and interpreting quantitative and qualitative data
  • Interacting with various levels of management
  • Managing multiple projects
  • Communicating complex information orally and in writing
  • Identifying trends and evaluating opportunities
  • Facilitating learning sessions on Behavioural Economics to business stakeholders

IT Graduate (Group Data & Analytics)

Job Purpose

Join us at Nedbank and embark on an exhilarating journey into the cutting-edge world of data, including fields such as data science, and engineering! Propel your career forward as you immerse yourself in a dynamic learning experience, honing your skills and mastering competencies that will set you apart. Dive into real-world business environments, where you’ll not only gather invaluable experience but also revolutionize the way divisions function. Be a driving force in transformative projects and initiatives, shaping the future of data-driven organisation!

Job Responsibilities

  • Utilize data science and engineering skills to optimize operations through data-driven decision-making, with a keen focus on cost reduction and eliminating non-value-added work and waste. Leverage these skills to meet targets, deadlines, and standards as defined in agreements with management, ensuring efficient execution.
  • Strive for excellence in data-driven service delivery to both internal and external clients, understanding and implementing world-class practices. Uphold consistent quality and productivity standards through meticulous data-driven monitoring and follow-through, drawing on data science and engineering expertise.
  • Actively contribute to a culture of transformation, participating in Nedbank’s data-centric initiatives. Support business strategy, including social responsibility and green initiatives, through data-informed approaches, leveraging data science and engineering capabilities.
  • Implement advanced data modelling techniques to extract meaningful insights from complex datasets.
  • Ensure robust data and AI governance by implementing best practices and compliance measures, safeguarding the integrity, privacy, and security of sensitive information. Provide regular feedback and updates to team leaders/supervisors on assigned tasks and duties, ensuring effective workload management. Embrace the Nedbank vision and exhibit the associated values through data-informed interactions with the team and stakeholders, incorporating data science and engineering proficiency.
  • Drive process enhancement and operational efficiency by researching and proposing data-backed improvement initiatives, utilizing data science and engineering techniques. Collaborate with internal stakeholders, leveraging these skills to achieve deliverables effectively.
  • Foster constructive internal relationships to ensure seamless workflow. Manage expectations of colleagues and clients, drawing on data science and engineering skills to deliver on agreed tasks. Execute assignments within specified time frames while maintaining high-quality standards in accordance with internal and external guidelines, regulations, and governance requirements.
  • Provide regular feedback and updates to team leaders/supervisors on assigned tasks and duties, ensuring effective workload management. Embrace the Nedbank vision and exhibit the associated values through data-informed interactions with the team and stakeholders, incorporating data science and engineering proficiency.
  • Stay ahead of industry developments in the field of expertise by identifying relevant training and career progression opportunities. Support personal growth by completing all learning activities, gaining experience, and obtaining certifications within specified time frames, with a focus on data science and engineering skills.
  • Take ownership of your career path with guidance and support from management, the department, and colleagues. Contribute to team goals through active participation and engagement, leveraging data science and engineering expertise.
  • Promote knowledge management and enhance team success by sharing data-driven insights and ensuring accurate information dissemination to stakeholders, utilizing data science and engineering knowledge.

Essential Qualifications – NQF Level

  • Advanced Diplomas/National 1st Degrees

Preferred Qualification

  • Relevant Degree/ Diploma/ Equivalent

Type of Exposure

  • Managed Relationships
  • Managed Self
  • Managed own Career
  • Provided Administrative Support

Minimum Experience Level

  • 0 to 12 months in IT related roles

Technical / Professional Knowledge

  • Data Science
  • Data Analysis
  • Data Engineering
  • Data Modelling
  • Data Governance

Behavioural Competencies

  • Adaptability
  • Continuous Learning
  • Collaborating
  • Customer Focus
  • Innovation
  • Work Standards

Click here to apply

All the best with your applications

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