Fincrime Systems Analyst: Fraud & AML Automation

Digital Outsource Services

Cape Town

On-site

ZAR 700,000 - 1,000,000

Full time

14 days+

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Benefits offered by this job

Group Life Cover
Funeral Fund Benefit
Income Continuation Benefit
Medical Aid Subsidy
Retirement Annuity Subsidy
Employee Assistance programme

Job summary

DigiOutsource, part of Super Group, seeks a Fincrime Systems Analyst to develop automated detection controls for fraud, money laundering and other financial crime risks. You’ll enhance detection rates, reduce losses, and improve regulatory compliance.

Responsibilities include designing rules, tuning workflows, collaborating with Compliance and Engineering, and ensuring timely incident response. 2–3 years’ experience and strong SQL/Excel skills are essential.

Qualifications

  • Bachelor's degree or equivalent in a relevant field.
  • 2–3 years of hands-on experience in financial crime analytics.

Responsibilities

  • Design, configure, test and optimize financial crime detection rules and workflows.
  • Monitor and maintain transaction monitoring and screening systems for regulatory compliance.
  • Collaborate with cross‑functional teams to translate risk requirements into effective controls.
  • Analyze alerts and incidents to improve detection outcomes and reduce false positives.
  • Support audits, governance activities and regulatory reporting.

Skills

SQL
Excel
Power BI
Tableau
APIs
Jira/Confluence
AML monitoring
KYC
Risk scoring
Data analytics

Education

Bachelor's degree in business/Finance/CS/Math/Data Analytics/IS

Tools

Elastic
Coralogix
Transaction monitoring tools
Jira
Confluence
Power BI

Job description

DigiOutsource, part of Super Group, seeks a Fincrime Systems Analyst to develop automated detection controls for fraud, money laundering and other financial crime risks. You’ll enhance detection rates, reduce losses, and improve regulatory compliance.

Responsibilities include designing rules, tuning workflows, collaborating with Compliance and Engineering, and ensuring timely incident response. 2–3 years’ experience and strong SQL/Excel skills are essential.

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