Data Scientist- II

Wesbank; Johannesburg; On-site; ZAR 387,000 - 646,000; Full time

Job summary

FNB is seeking a Data Scientist II in Johannesburg to plan, build, and implement quantitative models supporting financial crime analytics. You will work across AML/CFT, transaction monitoring, and sanctions screening with guidance and governance expectations.

You will collaborate with risk, technology, and business teams to translate complex models into actionable insights and provide robust documentation for governance and reproducibility.

Qualifications

• Honours degree in a quantitative field is required.
• 2+ years hands-on experience in developing and implementing analytical models.
• Strong scripting skills in SAS, SQL and Python.

Responsibilities

• Deliver on model development, implementation, and governance for financial crime risk analytics (AML/CFT, transaction monitoring, sanctions screening).
• Translate technical solutions into actionable insights for non-technical stakeholders.
• Provide clear technical documentation for models and processes and collaborate with business, risk and tech teams.

Education

Honours Degree in Mathematics, Statistics, Computer Science, Actuarial Science, Engineering, Physics, or a related field

Tools

SAS

SQL

Python

Job description

## Data Scientist- IIApply: Johannesburg: Full time: Posted Today: End Date: September 30, 2026 (6 days left to apply): R53793# **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.**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.**Are you someone who can:*** 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.**You will be an ideal candidate if you:*** 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.**You will have access to:*** Opportunities to network and collaborate.* Challenging Work.* Opportunities to innovate.**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 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.**Are you interested to take the step? We look forward to engaging with you further. Apply now!**