Head: Client Insights - Emerging Markets

Job description:
Who We Are
Were a bank, but were more than that too. We believe that banking is about people and that there's a simpler way to bank, and that by helping our clients manage their financial lives better, we enable them to live better.

Why Choose Us
At Capitec, we offer our best by being a CEO in every situation we always put the Client first, act with Energy and take Ownership. And to support people in being their best, Our Employee Value Proposition offers every member of our team value by encouraging their involvement in our organisation, creating cohesive teams, and providing growth opportunities as well as employee benefits and savings. We make it a priority to ensure that each Capitec person feels known, valued, focused and has the opportunity to grow.

Join Us in Becoming the Best Bank in the World
We appoint people for their potential and continuously look for talented, driven individuals to help us innovate and evolve the banking industry. Thats why we focus on finding the right people for the right jobs. We love what we do it takes a great team, commitment and dedication to build a brand that we are proud of and that our clients trust

You will manage the Client Insights Department by providing client insights that inform the Emerging Markets strategy to enable and deliver the organisational strategy. You will be designing, deriving and building client insights, predictive models and algorithms to optimise client experience and business portfolio performance. To integrate and enable client insights to be the core input into business decision making, including prioritisation and client experience impact.

You are experienced in:
Managing a team and function to build, develop and deliver Client Insights services in an agile and high performing environment, including:
Business relationship management, especially at a senior/executive level
Influencing and changing internal culture in respect of Client Insights
Conceptualising and developing innovations and data opportunities and initiatives
Building machine learning models
Business analysis and requirements gathering
Experience in developing and deploying machine learning models into production
Working in remote environments, e.g. Docker, Linux
Working in cloud environments, preference for AWS
At least 5 years proven technical experience in;
Project and task planning and execution at a large scale within a complex and dynamic environment
Proven experience within one or more of the Client Insights and Data Management portfolios
Management experience in a team of technical experts
Proven track record of delivering on complex Client Insights projects
Proven track record of business relationship management, especially at a senior/executive level

Preferred experience in:
Experience preferably gained in a financial environment
Practical experience in applying Agile way of working methodologies within Client Insights
Proven experience of using influence and relationships to drive and achieve objectives.
Experience of successfully leading, planning and managing Client Insights initiatives across a large organisation
You have a relevant tertiary qualification in Statistics or Mathematics, ideally an honours degree.

Knowledge required:
Broad business acumen, in-depth understanding of complex and large organisations; understanding of the full range of business functions and their integration
Business application of data and analytics at a strategic and tactical level
How to use consulting and stakeholder relationships, together with change concepts and communication to build an understanding and acceptance of Client Insights as a fundamental business tool
Knowledge of data and analytics within the banking or finance industry
Interlocking and integrating goals, roles, processes, values, communications practices, attitudes and assumptions in relation to organisational culture
Underlying theory and application of machine learning models must be able to understand underlying principles and theory and be able to teach others
Best practices for Client Insights
Ethical AI design principles
Familiar with machine learning applications, solution design and integration to production systems
Client Insights & Data Product Life Cycle
Client Insights practices, business and technology issues related to management of enterprise information assets and approaches related to data protection