Data Scientist II - Collections Analytics at FNB South Africa

Job Description

• To plan, build, optimise and implement innovative quantitative analytical methodologies, procedures, products and advanced mathematical models that provide analytical support and interpret insights, to address business opportunities and problems and implement business strategy, with minimal guidance.

Are you someone who can:

• Use statistical methods and tools to analyse data and identify trends, pattens and draw insights
• Build, implement and monitor a range of data driven statistical models and collections strategies to improve credit collections processes, customer experience and business profitability
• Drives process automation, optimization and productionalize existing and new business strategies and models into relevant platforms
• Thrives in high-pressure, fast-paced environments, maintaining a strong work ethic and focus to meet tight deadlines
• Thinks creatively and strategically, approaching problems with an open mind and a solution-focused mindset
• Communication, stakeholder management, and ability to present clearly, concisely to both technical and non-technical audiences.
• Intermediate coding skills in SAS is essential
• Delivers high-quality, reliable outputs within set timelines—prioritizing accuracy, clarity, and impact
• Experience with Model monitoring, optimization and/or deployment will be advantageous
• Prior experience with technical documentation and process mapping will be advantageous.
• Has experience in Collections Analytics will be advantageous

You will be an ideal candidate if you:

• Have a relevant Degree in Mathematics, Statistics, Engineering, Computer Science, Econometrics, Physics or Actuarial Science, Mathematics, or equivalent
• Have a minimum of 2-3 years' relevant Data Science experience within a Credit risk environment.
• Intermediate to advanced level of proficiency in SQL
• Intermediate to advanced level of proficiency in SAS
• Proven experience within Collection Analytics will be preferred

End Date: October 21, 2025