Data Science Head

1 First Place, Cnr Simmonds & Pritchard Streets, Johannesburg, 2001, South Africa

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Job Description

Hello Future Data Science Head

Welcome to FNB, the home of the #changeables. We design for the shapeshifters and deliver products and services that make us incredibly proud of people that make it happen.

As part of our talent team, you will be surrounded by unique talents, diverse minds, and an adaptable environment that lives up to the promise of staying curious. Now’s the time to imagine your potential in a team where experts come together and ignite effective change.

Are you someone who can:

  • Establish, align and manage target and budget goals whilst ensuring effective control of costs for a range of functional areas to increase cost efficiency.
  • Deliver exceptional service that exceeds customers' expectations through proactive, innovative and appropriate solutions.
  • Cultivate and manage objective working relationships with a variety of stakeholders, including end-users, SME’s, project managers and senior staff members by participate in the Retail Credit Risk technical committee.
  • Provide guidance on Credit Risk modelling technical issues by maintaining a center of credit risk modelling expertise within the Group.
  • Develop business strategies based on data analysis in the Credit Risk environment to proactively identify risks to the bank.
  • Monitor changes in legislation, regulations, initiatives and relevant industry practices.
  • Ensure drafting and implementation of appropriate interventions.  
  • Ensure compliance with audit requirements.
  • Provide guidance on credit risk modelling technical issues through implementing processes and by driving innovation within the credit risk modelling environment.
  • Control the quality and accuracy of all the Actuarial outputs of the team, and ensure the outputs are delivered on time by reporting on increased efficiencies.
  • Benchmark current practices against the risk management framework and adjust practices as and when necessary.
  • Ensure team implemented and maintained sound business processes that minimize risk and deliver quality requirements specifications.
  • Report on and / or find solutions to items resulting from findings by internal or external audit and client management risk by presenting at several senior level ExCo’s.
  • Plan and manage performance, skills development, employment equity, talent and culture of team to improve innovation, achieve efficiencies and increase competencies.
  • Manage personal development to increase own skills and competencies.
  • Create strategic roadmaps and plans for achievement of outputs/ deliverables in collaboration with business stakeholders.
  • Lead and co-ordinate new data-driven approaches for the purpose of generating business insights through data analytics, information visualization and addressing unanswered business issues in a proactive manner.
  • Lead, co-ordinate and provide input into the development of governance and compliance procedures and processes and identify risk within assigned area of accountability.
  • Create line of business partnership model with relevant CDAO offices, business leaders and stakeholders to mature analytics within assigned area of responsibility.
  • Ensure adoption and localization of common frameworks, practices, processes, standards and integration of analytics value chain at relevant enabler level.
  • Accountable for monetization of analytics and insights at the relevant Exco level within area of responsibility.
  • Accountable for metadata; data quality; security and analytics practices as it relates to specific analytics products across line of business leveraging existing structures and capabilities.
  • Lead analytics function for big complex areas (i.e., spans multiple domains/ segments/ sub-segments, size of projects, touchpoints, etc.) to create actionable insights that informs business decisions across line of business within area of responsibility.
  • Ensure analytics is in accordance with the approved FirstRand architecture.
  • Ensure Platform alignment, governance, policy standards alignment and integration across segment and cross-segment BUs within assigned area of responsibility.
  • Lead and encourage business conversation regarding use cases, model usage, implementation of relevant practices etc.
  • Lead prioritization of analytics projects within area of responsibility.
  • Chair relevant analytical forums as necessary (e.g. technical committees).
  • Ensure ethical usage of data insights that complies to restrictions applied for privacy and sensitivity classification.
  • Understand and ensure implementation and adherence to Privacy business requirements, legislation and policy.
  • Provide subject matter expertise and thought leadership in area of expertise.
  • Build relationships that allow for the managing of expectations; the sharing of knowledge and diverse insights; and the creation of buy-in.
  • Engage in cross-functional relationships to obtain and to provide work support.
  • Contribute to sustaining a competitive edge through external networking, benchmarking and representation on related forums.
  • Demonstrate leadership behaviour through personal involvement, commitment and dedication in support of organizational values.
  • Manage team or teams in areas of responsibility in delivery against performance targets and achievement of wider human capital objectives.
  • Develop, encourage and nurture collaborative relationships across business areas and across the group.

You will be an ideal candidate if you have:

  • Minimum Qualification: Minimum Qualification bachelor’s degree in actuarial sciences or data sciences
  • Experience:  5 – 8 years of experience, 3 – 5 years in a management position leading analytical and/or data professionals
  • Preferable candidates will have a post graduate qualification and or be a Qualified Actuary.

       You will have access to:

  • Opportunities to network and collaborate.
  • Challenging work environment.
  • Opportunities to innovate.
  • Work with leading edge tools within data science

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.
  • Obsessed with mastery - you know what it takes to become good at what you do and are constantly pushing yourself to do it.

Are you interested to take the step? We look forward to engaging with you further. Apply now!

#post 
#fnb
#LI-GS1
 

Job Details

Take note that applications will not be accepted on the below date and onwards, kindly submit applications ahead of the closing date indicated below.

27/07/25

All appointments will be made in line with FirstRand Group’s Employment Equity plan. The Bank supports the recruitment and advancement of individuals with disabilities. In order for us to fulfill this purpose, candidates can disclose their disability information on a voluntary basis. The Bank will keep this information confidential unless we are required by law to disclose this information to other parties.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture Classification Credit risk Data analysis Data Analytics Data quality Privacy Security

Region: Africa
Country: South Africa

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