Analyst: FRM & Data Analytics

About

Description

The AML and Fraud Risk Data Analyst plays a critical role in the detection, prevention, and mitigation of AML and fraudulent activities within an organization. This role involves leveraging data analytics, statistical methods, and specialized software to analyse and interpret data, identify patterns, and provide insights that help prevent and combat fraud.

Responsibilities

• Data Collection: Gather and aggregate data from various sources, including transaction records, customer databases, and external data feeds
• Data Cleaning: Ensure data accuracy by cleaning and preprocessing data, removing duplicates, and correcting errors
• Pattern Recognition: Identify and analyse patterns, trends, and anomalies in data that may indicate fraudulent activity
• Algorithm Development: Develop and implement algorithms and rules-based models to detect potential fraud, using techniques such as AI, Machine Learning, statistical analysis, and predictive modelling
• Case Investigation: Assist in investigating suspected fraud cases by providing data-driven insights and supporting evidence
• Reporting: Prepare detailed reports and visualizations to communicate findings to stakeholders, including senior management, compliance officers, and risk officers

Qualifications

• Proficiency in tools such as SQL, Excel, R, and SAS for data extraction, manipulation, and analysis
• Experience with data visualization tools like Tableau, Power BI, or QlikView, etc
• Qualifications in (any combination of 2 or more): Information Technology, Data Analysis, or Artificial Intelligence and Machine Learning
• Experience in Data Analysis (12-18 Months)

Application instructions:

• Click 'Apply Now' button.