Data Scientist-II

About the Role

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. Hello Future Data Scientist II 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.

Responsibilities

• You will be an ideal candidate if you:
• You will have access to:
• We can be a match if you are:
• Deliver on model development, implementation, and governance for financial crime risk analytics (AML/CFT, transaction monitoring, sanctions screening).
• Proactively identify analytical opportunities and solve unstructured problems with minimal guidance.
• Translate technical solutions into actionable insights for non-technical stakeholders.
• Deliver clear and comprehensive technical documentation for models and processes.
• Collaborate with business, risk, and technology teams across the FirstRand group to drive model effectiveness and compliance.
• Support junior Data Scientists in developing both technical and business skills.
• Apply SAS, SQL, and Python scripting for data manipulation, modelling, and automation.
• Uphold model and rule governance standards and participate in periodic monitoring and reviews.
• Demonstrate initiative and a solution-oriented mindset in high-stakes, regulated environments.
• Hold an Honours Degree in Mathematics, Statistics, Computer Science, Actuarial Science, Engineering, Physics, or a related field.
• Have 2+ years of hands-on experience in developing and implementing analytical models, preferably in financial services.
• Possess strong scripting skills in SAS, SQL, and Python.
• Have experience in collaborating across multiple teams.
• Experience in financial crime, fraud detection, or AML/CFT is a strong advantage.
• Opportunities to network and collaborate.
• Challenging Work.
• Opportunities to innovate.
• Curious & courageous - you're driven by always wanting to know more and learn more and you're brave enough to.
• Obsessed with mastery - you know what it takes to become good at what you do and are constantly pushing yourself to do it.
• Adaptable, curious and willing to learn.
• Passionate in providing insights.
• Thrive in a collaborative environment.