Senior Data Analyst

K2 Integrity; United States; Remote; USD 96,000 - 165,000; Full time

Job summary

K2 Integrity seeks a forensic analytics professional who thrives on curiosity and hypothesis-driven investigation. You will work with datasets containing millions of records, using SQL and Alteryx to uncover hidden behavioral patterns and emerging AML typologies in a remote USA role.

Responsibilities include designing AML monitoring scenarios, conducting lookbacks, calibrating thresholds, and supporting SAR narratives with rigorous data analysis.

Qualifications

• Advanced degree in Data Science, Statistics, Finance
• 5+ years with large transactional datasets for AML
• Identify suspicious behaviors and emerging typologies
• Develop and validate AML detection strategies
• Understand money laundering methods (structuring, mule activity, etc.)
• Transform findings into defensible detection logic
• Advanced SQL skills for large-scale queries
• Strong Alteryx experience for data prep and analysis
• Strong communication of analytical results

Responsibilities

• Design AML monitoring scenarios from concept to implementation
• Conduct lookback analyses and typology development
• Use SQL and Alteryx for forensic transaction analysis
• Identify networks and behavioral patterns to uncover risks
• Apply statistical analysis and anomaly detection
• Support SAR narratives and regulatory responses

Skills

SQL

Alteryx

Forensic Analytics

Data Analysis

Hypothesis driven

Education

Advanced degree

Job description

We are seeking a forensic analytics professional who is naturally curious, investigative, and hypothesis-driven. The successful candidate will be comfortable working directly with datasets containing millions of records, using SQL and Alteryx to explore data and uncover hidden behavioral patterns. They should demonstrate a proven ability to move beyond predefined requirements and independently discover emerging AML typologies, develop defensible detection logic, and enhance the organization's financial crime monitoring capabilities. This contractor position is a remote role in the USA.

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