Data Scientist II: AML & Financial Crime Analytics

RMB; Johannesburg; On-site; ZAR 543,000 - 650,000; Full time

Job summary

FNB in Johannesburg is seeking a Data Scientist II to plan, build, and implement quantitative analytics for financial crime risk analytics (AML/CFT, transaction monitoring, sanctions screening). You will develop models, drive governance, and translate insights for business stakeholders.

You should have an Honours degree in a quantitative field and 2+ years of hands-on modelling experience, with SAS, SQL and Python proficiency. The role offers a dynamic, collaborative environment.

Qualifications

• Honours degree in a quantitative field.
• At least 2 years hands-on experience building analytical models.
• Experience with SAS, SQL and Python for data manipulation and modelling.

Responsibilities

• 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.

Skills

SAS

SQL

Python

Analytical modelling

Cross-team collaboration

Education

Honours Degree in Mathematics/Statistics/CS/Actuarial Science/Engineering/Physics

Job description

FNB in Johannesburg is seeking a Data Scientist II to plan, build, and implement quantitative analytics for financial crime risk analytics (AML/CFT, transaction monitoring, sanctions screening). You will develop models, drive governance, and translate insights for business stakeholders.

You should have an Honours degree in a quantitative field and 2+ years of hands-on modelling experience, with SAS, SQL and Python proficiency. The role offers a dynamic, collaborative environment.