Crime Analyst at Nedbank

Job Purpose

• To support  Group Financial Crime, Forensics and Security through transforming raw financial and third‑party data into actionable anti‑money laundering (AML) intelligence to prevent, detect, and disrupt money laundering activity and related predicate offenses supporting Money Laundering investigations, Subpoena team, High Risk Advisory committee, and External Stakeholders being the Financial Intelligence Centre and South African Anti-Money Laundering Integrated Task Force (SAMLIT). 

Job Responsibilities

Data Acquisition & Management

• Source & integrate internal datasets (customer, KYC/CDD/EDD, transactions, channels, geographies, alerts, case outcomes) and 
• External datasets (FIC, SAMLIT typologies, law-enforcement requests, sanctions lists, adverse media).
• Intelligence Development (Strategic, Tactical, Operational)
• Strategically identify emerging criminal, money laundering and financial crime risks and typologies.
• Tactical: Generate target packages network maps, priority subjects, high-risk corridors, facilitators, and enablers.
• Produce timely reports while supporting live investigations, and ensure case escalation (Section 27s, 29, 32 and 34) and review is done timeously.

Typology & Red Flag Management

• Share knowledge of trends and identified risks with team and stakeholders so that relevant upskilling takes place.
• Obtain buy-in for developing new and/or enhanced processes that will improve the functioning of stakeholders' businesses.
• Maintain a typology library mapped to scenarios and controls; update red flags, indicators, and keywords across products and channels.
• Translate SAMLIT/FIC guidance into detection logic.
• Essential Qualifications - NQF Level
• Matric / Grade 12 / National Senior Certificate

Preferred Qualification

• Bachelor’s Degree. Preferably within the field of data analysis, forensic investigation and/or auditing.
• Preferred Certifications: Institute of Commercial Forensic Practitioners (ICFP) and/or Association of Certified Fraud Examiners (ACFE) 
• Association of Certified Anti-Money Laundering Specialists (ACAMS) 

Minimum Experience Level

• Minimum 5 years in the Anti Money Laundering field, and/or conducting forensic investigations.
• AML monitoring, investigations, or financial crime analytics
• Exposure and understanding of banking environment.
• Team player with an investigative mindset.
• Strong analytical and problem-solving skills
• Technical / Professional Knowledge
• SQL / Python, graph analytics, feature engineering, BI dashboards (Power BI/Tableau), data modelling.
• AML knowledge: FATF recommendations, FIC Act, STR standards, POCDATARA awareness, sanctions screening principles.
• Investigative: Hypothesis-driven analysis, narrative drafting, evidentiary standards, linkage analysis.
• Communication: Clear written intel products, concise briefings, stakeholder engagement.
• Governance & Ethics: Data protection, audit readiness, control documentation

Behavioural Competencies

• Communication
• Self-management
• Continuous Learning
• Decision Making
• Quality Orientation
• Technical/Professional Knowledge and Skills