AML, CFT, CPF, Sanctions and Excon Data Analyst

Requisition Details & Talent Acquisition

REQ: 142208

Talent Acquisition Contact: Thembi Mtshali 

Location: 135 Rivonia Road, Nedbank Head Office, Sandton 

Closing Date: 6 October 2025

Job Family

Career Stream

Leadership Pipeline

FAIS Affected

Job Purpose

We are currently looking for a qualified candidate to assist the AML, CFT, CPF, Sanctions & Excon Monitoring Team’s operational and analytical needs. The Data Analyst will collaborate with Group Technology (GT), Group Risk Analytics and Clusters to provide data related support, data investigation, data management, data reporting and data solutioning. The Data Analyst’s role will be to troubleshoot and investigate data anomalies and issues along with working directly with GT and Clusters to follow through and get the issues resolved. 
This person will also assist in building predictive systems to help catch issues before they arise and support financial reporting. As our AML, CFT, CPF, Sanctions & Excon Data Analyst you will be instrumental in developing sustainable dashboards, analysing data discrepancies and data lineage as well as assist with solving data problems.

Job Responsibilities

•  Interpret data, analyse results using statistical techniques and provide ongoing reports
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
• Develop PowerBI dashboards for ongoing reporting needs aligned to development standards and best practices
• Acquire data from primary or secondary data sources and maintain databases/data systems required for reporting
• Identify, analyse, and interpret trends or patterns in complex data sets
• Work with management to prioritize business and information needs
• Ability to analyse large datasets
• Ability to organize and lead meetings with business and operational data owners
• Coordinate and communicate between business users and the data warehouse organization, balancing requirements and resources to solve business problems
• Strong ability to troubleshoot and resolve data issues
• Ability to build tabular and/or visualization reports as needed
• Work independently and with team members to understand database structure and business processe
•  Identify opportunities to improve data and business processes utilizing SQL, SAS Enterprise Guide, Denodo, PowerBI, Python, R, or C#
• Help form data management and governance processes
• Build and establish a discipline of exceptional AML analytics, enabling stakeholders at making Nedbank world class at tackling AML
• Work with stakeholders across the bank to identify opportunities for leveraging Nedbank’s data to drive risk management solutions that address AML
• challenges within the organisation. 
• Work with stakeholders, to build and implement the most appropriate models that provide actionable insights on banks AML Landscape.
• Optimise decision making to response to risks posed by AML incidents
• Anticipate the occurrence of AML incidents through data
• Mitigate the impact of AML incidents through analytical solutions 
• Conduct high quality research to proactively identify areas for improvement to reduce the risk of AML and recommending changes to procedures and
• standards where appropriate
• Keep abreast with the latest trends in risk and AML analytics with the intention to enhance internal tools, models, and methodologies on a continuous basis
• Apply mature and sound judgment in the selection of methods that provide a balanced approach to address both the theoretical and practical issues when faced with very difficult choices
• Research, present and resolve issues emanating from the implementation of AML models 

Preferred Qualification

Preferred Qualification
Post Graduate Diploma: Risk Management, Advanced Diplomas/National 1st Degrees, Statistics, Computer Science

Preferred Certifications

Compliance Institute of South Africa (CISA) - preferred, not essential
Associated Certified Anti-Money Laundering Specialist (ACAMS) or Anti - Money Laundering certification - preferred, not essential

Minimum Experience Level

• Minimum required qualification: BSc or BCom related IT degree.
• Strong knowledge of and experience with data analysis tools, reporting packages (Business Objects etc), databases (SQL etc), programming (XML,
• JavaScript, or ETL frameworks), PowerBI, Excel using Pivot tables
• nowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
• trong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy
• dept at queries, report writing and presenting findings

Types Of Exposures

Analysing situations or data that require an in-depth evaluation of multiple factors 
Drafting reports 
Influencing stakeholders to obtain buy-in for concepts and ideas 
Comparing two or more sets of information Working with a group to identify alternative solutions to a problem 
Consolidating data from various sources and identify/interpret trends 
Identifying and interpreting regulatory risk trends 
Managing stakeholder expectations 
Monitoring adherence and compliance 
Working across all risk categories 
Model Development and solution development
Presenting to senior leaders.

Technical / Professional Knowledge

Compliance reporting
Reputational risk management
Risk management process and frameworks
Stakeholder management
Relevant software and systems knowledge

Behavioural Competencies