AML Model Validation Senior Analyst

Interactive Brokers Group, Inc. (Nasdaq: IBKR) is a global financial services company headquartered in Greenwich, CT, USA, with offices in over 15 countries. We have been at the forefront of financial innovation for over four decades, known for our cutting-edge technology and client commitment.

IBKR affiliates provide global electronic brokerage services around the clock on stocks, options, futures, currencies, bonds, and funds to clients in over 200 countries and territories. We serve individual investors and institutions, including financial advisors, hedge funds and introducing brokers. Our advanced technology, competitive pricing, and global market help our clients to make the most of their investments.

Barron's has recognized Interactive Brokers as the #1 online broker for six consecutive years. Join our dynamic, multi-national team and be a part of a company that simplifies and enhances financial opportunities using state-of-the-art technology.

The AML Model Validation Senior Analyst will perform independent validation of Anti-Money Laundering (AML) and financial crime detection models across global entities. Reporting to the AML Model Validation Manager, this role requires strong technical expertise in Python and SQL, combined with knowledge of AML/financial crime regulations and model risk management principles. The Senior Analyst will work in a team environment to execute validation assessments and deliver high-quality validation reports.

• Conduct independent validation of AML models based on the Model Validation framework across multiple areas:

• Money Movement/Transaction Monitoring scenarios
• Trade Surveillance models (market abuse, insider trading, manipulation)
• Sanctions screening
• Geographic Risk Rating (GRR) models
• Customer Risk Rating (CRR) models

• Develop and execute validation test scripts using Python and SQL to assess model accuracy, calibration, and performance
• Validate model assumptions, logic, thresholds, and segmentation approaches
• Maintain organized records of all validation activities and supporting documentation
• Prepare summary materials and presentations for report review

• Extract, manipulate, and analyze large datasets using Python and SQL
• Develop Python scripts for statistical testing, back-testing, and sensitivity analysis
• Replicate model logic and perform independent calculations to verify sample model outputs
• Validate data quality, completeness, and appropriateness for model inputs
• Ensure validation activities meet regulatory requirements from SR 11-7, OCC 2011-12

• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Finance, or related quantitative field
• 3+ years of experience in model validation, model development, or quantitative analysis
• 1+ years of specific experience in AML/financial crime model validation or development
• Demonstrate understanding of AML/BSA regulations, OFAC sanctions, and financial crime typologies
• Knowledge of model risk management frameworks and regulatory guidance (SR 11-7, OCC 2011-12)
• Strong proficiency in Python and NoSQL for data analysis, statistical testing, and model validation
• Experience working with Pandas and Numpy
• Expert-level SQL skills for complex data extraction, manipulation, and analysis
• Strong statistical and quantitative analysis capabilities
• Self-motivated and able to handle tasks with minimal supervision.
• Superb analytical and problem-solving skills.
• Excellent collaboration and communication (Verbal and written) skills.
• Outstanding organizational and time management skills