Senior Data Analyst

K2 Integrity is seeking a Senior Data Analyst to perform forensic analytics for anti-money laundering and financial crime monitoring. The role involves analyzing large datasets with SQL and Alteryx, identifying suspicious patterns and emerging typologies, and developing defensible detection logic and monitoring enhancements.

Responsibilities:

• Design new AML monitoring scenarios or detection models from concept through implementation
• Conduct lookback analyses, typology development, threshold calibration, segmentation studies, and alert effectiveness reviews
• Leverage SQL and Alteryx to perform forensic transaction analysis and identify previously unknown financial crime risks
• Identify and evaluate transaction networks, customer relationships, and behavioral patterns to uncover previously unidentified financial crime risks
• Utilize statistical analysis, anomaly detection techniques, behavioral profiling, and risk-based segmentation      methodologies
• Provide supporting data analytics and documentation for SAR narratives, AML investigations, and regulatory responses

Requirements:

• Advanced degree in a related field (e.g., Data Science, Statistics, Finance)
• 5+ years of experience working with large datasets containing millions of records to analyze large-scale      transactional, customer, or financial datasets in support of AML, financial crimes, fraud, or investigative analytics initiatives
• Demonstrated ability to identify suspicious behaviors, emerging typologies, hidden relationships, and anomalous transaction patterns through exploratory data analysis
• Experience developing, enhancing, and validating AML detection strategies, scenarios, models, or monitoring rules based on forensic review of transactional activity
• Strong understanding of money laundering methodologies, including structuring, layering, funnel accounts, mule activity, third-party transfers, rapid movement of funds, high-risk counterparties, and other financial crime typologies
• Proven ability to transform investigative findings into defensible detection logic, thresholds, and risk indicators
• Advanced SQL skills with the ability to independently query, extract, manipulate, and analyze large datasets to uncover suspicious activity patterns and support detection model development
• Strong Alteryx experience, including workflow design, data preparation, aggregation, segmentation, statistical analysis, and investigative data exploration across large transaction populations
• Ability to independently formulate hypotheses, test suspicious activity indicators, and develop evidence-based recommendations for detection enhancements
• Strong communication skills with the ability to articulate complex analytical findings
• Experience designing new AML monitoring scenarios or detection models from concept through implementation preferred
• Experience conducting lookback analyses, typology development, threshold calibration, segmentation studies, and alert effectiveness reviews preferred
• Experience leveraging SQL and Alteryx to perform forensic transaction analysis and identify previously unknown financial crime risks preferred
• Familiarity with SAR narratives, AML investigations, regulatory expectations, and suspicious activity      identification preferred
• Experience evaluating transaction networks, customer relationships, and behavioral patterns to uncover previously unidentified financial crime risks preferred
• Knowledge of statistical analysis, anomaly detection techniques, behavioral profiling, and risk-based segmentation methodologies preferred