services firms such as Old Mutual, Sanlam, Momentum Metropolitan, FSDA, Deloitte, and KPMG. (Please note: We
Experience with System Development Life Cycle models (Waterfall, Rapid Application Development, Spiral practices, and procedures for full product development life-cycle desired. Highly adaptive and flexible to a
latest frontend technologies to bring our visions to life
Skills & Experience:
life
Qualification:
Bachelor's
transport Experience in business software Individual life Insurance or funeral Risk Insurance advantage Must gained working experience in Software development life cycle knowledge experience essential (SDLC) Must experience gained in IT software and in Individual Life insurance and Risk Industry in IT Software Industries level. Present functional area capabilities to the Life Insurance software teams with TechArchs. Create possible new development. Present business Individual life insurance and funeral Risk Insurance training at
Software development within the Personnel Life Insurance OR Life Risk Industries or Funeral or Disability qualification Must have very good IT Software Development Life Cycle (SDLC) working experience gained Agile working Software development within the Personnel Life Insurance OR Life Risk Industries or Funeral or Disability
player in South Africas life insurance industry, who is passionate about life insurance and are good at at what they do while creating life insurance cover to create products that better meet clients needs
latest frontend technologies to bring our visions to life Skills & Experience: Proven experience as a effectively with designers to bring their visions to life Qualification: Bachelor's degree in Computer Science
qualification, preferably all A200s and A100s completed Non-life experience would be beneficial. At least 3 years'
activities adhere to the defined Software Development Life Cycle (SDLC) processes and that each deliverable 3 years of experience with Software Development Life Cycle (SDLC) processes. Knowledge of Agile environments
range of predictive models across the entire credit life cycle. Responsibilities: Understand and interpret application of predictive models across the entire credit life cycle. Conduct continuous research aimed at identifying