Technology Lead, AI & ML (Corporate & Investment Banking)

  • Full-time
  • Business Segment: Corporate & Investment Banking

Company Description

Standard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers a variety of career-enhancing opportunities – plus the chance to work alongside some of the sector’s most talented, motivated professionals. Our clients range from individuals, to businesses of all sizes, high net worth families and large multinational corporates and institutions. We’re passionate about creating growth in Africa. Bringing true, meaningful value to our clients and the communities we serve and creating a real sense of purpose for you

Job Description

To shape the Standard Bank Group (SBG) artificial intelligence (AI) strategy and drive the creation of AI and machine learning (ML) solutions and projects; prioritising the delivery of new AI initiatives. To apply deep domain expertise in driving the AI strategy to enable SBG to be a business and thought leader in its desired markets.

  • Advise, maintain and implement the Engineering standards, methods and procedures across Portfolio to ensure a consistent and best practice approach in the development of end-to-end solutions.
  • Collaborate with Platform Owners in ensuring that the platform is engineered to be secure, meet service level objectives in terms of availability, reliability and performance. Set-up appropriate processes to quality assure all code deployed onto the platform.
  • Conduct quality assurance and approve developed code linked to supplied specifications and ensure  that applications are built in line with continuous delivery/ continuous integration standards.
  • Continuously develop and mature competency of the Engineering team by overseeing the provision of support in the form of training, mentoring, coaching, etc. for practice team members to allow them to attain mastery in their technical skills. Collaborate and create opportunities for team members to acquire adjacent skills (T-shaped employees ) and emergent skills as well as actively driving cross skilling as a strategic initiative in conjunction with other technology engineering practices.
  • Contribute deep, specialist knowledge of the technological landscape to the team, thereby developing and enhancing the technical capabilities of the team, and building a pipeline of expertise.

Qualifications

  • Masters Degree: Information Technology

Additional Information

Experience Required: Software Engineering

8-10 years: Experience in the AI and ML area.

Behavioural Competencies:

  • Articulating Information
  • Challenging Ideas
  • Developing Expertise
  • Developing Strategies
  • Embracing Change

Technical Competencies:

  • Data Analysis
  • Emerging Technology Monitoring
  • IT Design Driven Development
  • Knowledge of Banking & Financial Service
  • Systems Design

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