Data Scientist I: AML Analytics & Modeling

FNB South Africa; Johannesburg; On-site; ZAR 350,000 - 550,000; Full time

Benefits offered by this job

Networking opportunities

Challenging work

Opportunities to innovate

Job summary

FNB South Africa is seeking an early-career Data Scientist to build and implement quantitative analytical methods and models. You will work with senior data scientists to solve financial crime analytics challenges and translate insights for business stakeholders.

Ideal candidates have 1–2 years’ experience, knowledge of SAS/SQL/Python, and a degree in a quantitative field. This role offers growth in a collaborative environment within the FirstRand group.

Qualifications

• 1–2 years hands-on experience in data analysis, modeling, or analytics-related roles, preferably in financial services.
• Working knowledge of SAS, SQL and Python.
• Exposure to financial crime concepts is an advantage.

Responsibilities

• Support senior data scientists and managers in end-to-end model development, implementation, and governance for financial crime risk analytics (AML/CFT, transaction monitoring, sanctions screening).
• Assist with analytical problem-solving and data exploration to identify trends, patterns and risks.
• Translate technical analyses into actionable insights for non-technical stakeholders.
• Contribute to clear technical documentation for models and processes.
• Collaborate with business, risk, and technology teams under guidance from senior members.
• Continue to develop technical and business skills through hands-on project support.

Skills

Data analysis

Modeling

Analytics

Team collaboration

Education

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

Tools

SAS

SQL

Python

Job description

FNB South Africa is seeking an early-career Data Scientist to build and implement quantitative analytical methods and models. You will work with senior data scientists to solve financial crime analytics challenges and translate insights for business stakeholders.

Ideal candidates have 1–2 years’ experience, knowledge of SAS/SQL/Python, and a degree in a quantitative field. This role offers growth in a collaborative environment within the FirstRand group.