Arnav Garg
About Arnav
Arnav is an Associate Data Analyst at Cygnus Compliance, focusing on AML compliance, performing data quality assessments, field-level testing, and reconciliation to ensure regulatory alignment. He supports model validation efforts by analyzing transactional data and identifying potential compliance risks, contributing to the refinement of financial crime detection frameworks through improved data accuracy and process efficiency.
With several years of experience in data analytics and financial crime compliance, Arnav specializes in sanctions screening, AML data validation, and regulatory data quality management. His expertise spans SQL, Python, ETL processes, statistical analysis, and data visualization, skills he applies to enhance the integrity of financial crime monitoring systems and support effective compliance outcomes.
Arnav is highly proficient in SQL, Python, Tableau, and Power BI, with a strong grounding in machine learning techniques and data mining.
With a passion for continuous learning and a knack for solving complex problems, Arnav thrives in fast-paced environments where data insights drive strategic decisions and measurable impact.
In his free time, Arnav enjoys DJing and adventure sports.
Education
Tools
- Oracle
- FCCM
- Ocean Systems
- SAS
- ML System
Expertise
Regulatory Risk & Compliance
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Model risk is a critical subset of operational risk. Unvalidated or poorly calibrated models can lead to compliance failures, missed risk signals, and failed exams. Our validation services help financial institutions meet OCC, FRB, and FDIC expectations while enhancing model performance across AML, sanctions, fraud, and CRR domains.
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Even high-performing models degrade over time. At Cygnus Compliance, we help institutions tune and optimize their monitoring and CRR systems to reduce false positives, sharpen detection, and align with shifting business and regulatory needs.
Technology Consulting
Advisory & Consulting
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We help institutions transition to cloud environments that are secure, scalable, and compliant.
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Modernize legacy systems and adopt new technologies to meet evolving business and compliance requirements.
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Understand, evaluate, and implement blockchain technologies where it adds value.
Product Engineering & Development
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We translate business and regulatory requirements into functional, user-centric products with compliance controls embedded at every stage.
Data Engineering & Analytics
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We develop and operationalize governance programs that establish data ownership, standardization, and defensibility supporting both day-to-day operations and regulatory exams.
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We design AI/ML models to automate triage, enhance detection, and reduce analyst fatigue while maintaining explainability, traceability, and compliance with model governance frameworks.
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We build normalized, regulator-aligned data models that support investigations, long-term trend analysis, and audit traceability.
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We implement data control mechanisms that continuously monitor quality and alert stakeholders to anomalies before they affect operations or reporting.