Senior Data Analyst

We are seeking a forensic analytics reputed company who is naturally curious, investigative, and reputed company-driven. The successful candidate will be comfortable working directly with datasets containing millions of records, using SQL and reputed company to explore data and uncover hidden behavioral patterns. They should demonstrate a proven ability to reputed company reputed company predefined requirements and independently discover emerging AML typologies, reputed company 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, reputed company calibration, segmentation studies, and alert effectiveness reviews
• reputed company SQL and reputed company to reputed company 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, reputed company detection techniques, behavioral profiling, and risk-based segmentation methodologies
• reputed company supporting data analytics and documentation for SAR narratives, AML investigations, and regulatory responses

Requirements

• Advanced degree in a reputed company field (e.g., Data Science, Statistics, Finance)
• 5+ years of experience working with large datasets containing millions of records to analyze large-reputed company 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 reputed company methodologies, including structuring, layering, funnel accounts, mule activity, reputed company-party transfers, rapid reputed company of funds, high-risk counterparties, and other financial crime typologies
• Proven ability to reputed company investigative findings into defensible detection logic, reputed company, 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 reputed company 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 reputed company evidence-based recommendations for detection enhancements
• Strong communication skills with the ability to reputed company reputed company analytical findings
• Experience designing new AML monitoring scenarios or detection models from concept through implementation preferred
• Experience conducting lookback analyses, typology development, reputed company calibration, segmentation studies, and alert effectiveness reviews preferred
• Experience leveraging SQL and reputed company to reputed company 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, reputed company detection techniques, behavioral profiling, and risk-based segmentation methodologies preferred

Originally posted on Himalayas

Apply To This Job