Looking for a job

Afrah Aslam

@afrahaslam

FinCrime & Risk Analyst advising fintech and web platforms on transaction monitoring, fraud patterns, and risk dashboards.

Qatar

Message

As an independent Fraud & Risk Consultant, I advise digital fintech and web platforms on transaction monitoring safeguards and risk tier frameworks. I use SQL auditing workflows to assess GRC models and design risk monitoring dashboards.

At Amazon, I analyzed global marketplace data to uncover transaction anomalies and fraudulent merchant rings, and built compliance dashboards in Power BI and Tableau. I also investigated high-risk user journeys and worked with compliance and engineering teams on vulnerability patching and data security.

Experience

Work history, roles, and key accomplishments

Current

Fraud & Risk Consultant

Current

Independent

Nov 2023 - Present (2 years 11 months)

Advised digital fintech and web platforms on optimizing transaction monitoring safeguards and implementing risk tier frameworks. Utilized SQL auditing workflows to evaluate GRC models and engineered dynamic risk monitoring dashboards.

SQL GRC Transaction Monitoring Risk Frameworks Dashboarding Threat Detection

Transaction Risk Investigator / Data Analyst

Amazon

Jul 2020 - Nov 2023 (3 years 4 months)

Extracted and modeled multi-million row global marketplace datasets using SQL Server and MySQL to uncover transaction anomalies and fraudulent merchant rings. Built real-time compliance dashboards in Power BI and Tableau and investigated high-risk user journeys.

SQL Server MySQL Power BI Tableau AML KYC Fraud Detection Data Analysis Compliance Investigation

Junior Tech Admin / Systems Security Associate

Diya Systems

Dec 2017 - Sep 2018 (9 months)

Administered internal Windows Server architectures and secured relational databases while assisting hybrid network transitions to Azure cloud environments. Audited system log endpoints and executed stress tests to optimize network resilience.

Windows Server Azure Network Security System Auditing Relational Databases Performance Testing