Detection Analyst

Nedbank Private Wealth; Johannesburg; On-site; ZAR 600 000 - 800 000; Full time

Job summary

A leading financial institution seeks a Talent Acquisition Consultant in Johannesburg to develop and enhance fraud alerts targeting internal fraud. The role requires 5 years of experience in risk management or data analytics and a relevant qualification. You will be responsible for gathering requirements, maintaining fraud alerts, and ensuring compliance with policies. This position is critical for reducing fraud losses through effective engagement and problem-solving.

Qualifications

• 5 years experience in a risk management, data analytics, or fraud detection environment.
• Proficiency in developing and implementing fraud alerts.
• Knowledge in data integration and compliance with policies.

Responsibilities

• Develop spec and implement new fraud alerts targeting internal fraud.
• Maintain and enhance existing fraud alerts for ongoing relevance.
• Gather requirements by engaging with forensic investigators.

Skills

Data analysis

Python

Relational Databases

Analysis Skills

Application Development

Education

Matric / Grade 12 / National Senior Certificate

Relevant tertiary qualification in IT, Data Analytics, Risk Management, Forensic Auditing or related field

Job description

Requisition Details & Talent Acquisition Consultant

REQ ID : 143015

Location : Johannesburg

Closing Date : 26 November 2025

Job Family

Risk Audit and Compliance

Career Stream

Forensics

Leadership Pipeline

Manage Self : Technical

FAIS Affected

Job Purpose

To reduce fraud losses through early detection focusing on internal fraud by developing maintaining and improving fraud alerts using data from various bank data warehouses and the Enterprise Logging Platform (Elastic Stack). The role requires independent problem-solving technical proficiency and effective engagement with stakeholders to identify and act on fraud risks.

Job Responsibilities

Develop spec and implement new fraud alerts especially targeting internal fraud (staff-related) using data from data warehouses and the Enterprise Logging Platform (Elastic Stack).

Maintain and enhance existing fraud alerts to ensure ongoing relevance and effectiveness.

Gather requirements for new alerts by engaging with forensic investigators and other business areas to understand new fraud methods and identify opportunities for detection.

Source and integrate new data feeds by collaborating with other departments and technical teams.

Independently research and solve technical problems using available resources (e.g. Google forums documentation).

Share knowledge ideas and technical solutions with the team to build intellectual capital.

Ensure compliance with relevant policies procedures and regulations.

Provide clear feedback and updates to stakeholders regarding alert status fraud trends and opportunities for improvement.

Contribute to a positive team culture and support transformation and corporate social responsibility initiatives.

Essential Qualification

Matric / Grade 12 / National Senior Certificate

Plus any relevant tertiary qualification (certificate diploma or degree) in IT Data Analytics Risk Management Forensic Auditing or related field

Minimum Experience Level

5 years experience in a risk management data analytics or fraud detection environment.

Technical / Professional Knowledge

• Administrative procedures and systems
• Business terms and definitions
• Cluster specific operations
• Data analysis
• Governance Risk and Controls
• Relevant regulatory knowledge
• Relevant software and systems knowledge

Behavioural Competencies

• Applied Learning
• Building Customer Loyalty
• Earning Trust
• Decision Making
• Work Standards
• Managing Work

Disclaimer

Preference Recruiting Team atwill be given to candidates from the underrepresented groups

Please contact the Nedbank.

Please contact the Nedbank Recruiting Team at

Required Experience :

IC

Key Skills

ArcGIS,Intelligence Community Experience,GIS,Python,Computer Networking,Data Collection,Intelligence Experience,R,Relational Databases,Analysis Skills,Data Management,Application Development

Employment Type : Contract

Experience : years

Vacancy : 1