Data Analyst

• Play a critical role in detecting, investigating, analyzing and preventing financial crime by leveraging data analytics, reporting, and insights.
• Report directly into the Head of Investigations FCU and will principally work on investigative projects.
• Collaborate with the wider FCU function as required, and closely with IT, legal, and compliance teams to strengthen financial crime controls.
• Analyze data from several sources as it relates to reactive and proactive investigations.
• Provide data-driven insights to support investigations into fraud and money laundering.
• Collect, clean, and analyze large datasets to identify suspicious patterns and anomalies.
• Support fraud detection and monitoring.
• Collaborate with compliance officers to assess regulatory requirements and ensure adherence.
• Assist in the development of financial crime prevention strategies.
• Build and refine statistical models and machine learning tools to detect unusual activity, as well as presentation tools to demonstrate fraudulent activity.
• Present findings to senior management, regulators, and internal stakeholders.

Requirements

• Strong analytical skills and attention to detail.
• Deep understanding of financial crime typologies.
• Proficiency in SQL, Python, or other data analysis tools.
• Experience of fraud/financial crime investigations in either a first- or second-line role in financial services, legal or law enforcement sectors.
• Knowledge of data visualization platforms (Power BI, Tableau, or similar) is essential.
• Knowledge of AML, fraud detection, and financial crime typologies.
• Bachelor’s degree in Data Science, Statistics, Finance, Economics, or related field.
• Confidence to challenge existing ways of working to improve the overall approach.
• Excellent written and strong verbal skills.
• Negotiation and influencing skills are required to ensure that the business engages in investigations and discussions around remediating actions.

Core Competencies

Demonstrates expertise in data analysis and financial crime prevention, utilizing SQL, Python, and data visualization tools to identify suspicious patterns and support investigations. Strong understanding of AML regulations and financial crime typologies, combined with excellent communication and negotiation skills.

Highest-signal resume keywords

• SQL Proficiency
• Python Proficiency
• Data Visualization (Power BI, Tableau)
• Financial Crime Investigation Experience
• AML Knowledge

ATS Optimization Keywords

Hard Skills

• Data Analysis
• Statistical Modeling
• Machine Learning
• Fraud Detection
• Data Cleaning
• Data Insights
• Financial Crime Typologies
• Regulatory Compliance
• Investigative Reporting
• Data Collection

Soft Skills

• Analytical Skills
• Attention to Detail
• Written Communication
• Verbal Communication
• Negotiation Skills

Industry Keywords

• Financial Crime
• Fraud
• AML
• Compliance
• Financial Services

Tools & Technologies

• Power BI
• Tableau
• Data Analysis Tools

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