Associate Director, Compliance (New York, NY) – Hybrid work permissible. (multiple positions).

Conduct comprehensive validation, testing, and review of Bank Security Act/Anti-Money Laundering (BSA/AML) and Financial Crime Compliance (FCC) models - including Transaction Monitoring (TM) systems, Sanctions Screening/Office of Foreign Asset Control (OFAC) tools, and Know Your Customer (KYC) Risk-Scoring models. Evaluate model risks based on conceptual soundness and methodology, data quality, stress scenarios, design, usage, implementation framework, process control/governance, and ongoing performance monitoring in line with regulatory guidelines. Evaluate AML and FCC models with extensive review of model, implementation, functionality and effectiveness through scenario, sensitivity, and stress tests. Leverage R and SQL for statistical and data analytics to clean, parse, and validate data. Perform Data Quality Assessments with ETL and SQL scripts to assess data flows, lineage, and accuracy. Identify model deficiencies, propose mitigation strategies with model owners and management, and development offer practical recommendations. Continuously monitor model performance to ensure Key Performance Indicators (KPIs) are met and models function optimally. Prepare detailed technical validation reports explaining model logic, analysis, results, implications, and recommended improvements, emphasizing model limitations and assumptions. Assist in internal and external audits for AML and Financial Crime Compliance models. Stay informed on AML/Financial Crime regulations and industry best practices to guide Oppenheimer stakeholders. Hybrid work: 3 days per week in office required; telecommuting permissible up to 2 days per week.

Salary: $112,778 to $122,778 per year.

Requires a Master’s degree or foreign equivalent in Finance, Quantitative Finance, or related field, and two years (24 months) of work experience in Model Risk Management (MRM) validating BSA/AML models. Also requires two (2) years of experience in each of the following: 1) Programming with R to replicate and execute production models to simulate stress, scenario, and back tests; 2) Performing statistical and mathematical analysis leveraging logistic regression, Cochran and Risk-Based sampling methodologies, ANOVA (Analysis of Variance), and hypothesis testing; 3) Machine learning models including segmentation, random forest, gradient boosting techniques, and multi-layered rule-based algorithms; 4) Tracking performance metrics of models using confusion matrix (false positives, false negatives, precision /recall), anomaly detection, outlier detection and fuzzy matching effectiveness; 5) Performing data assessments to clean, parse, restructure, and validate large databases (at least 40 million rows and 100 columns) using MySQL and ETL frameworks; and 6) Testing data quality, lineage, and completeness by assessing data schemas, discrepancies, and null values then documenting and reporting results to management.

Send resume with cover letter to Oppenheimer & Co. Inc., Attention: K. Decker ref: #RGP2026 [email protected]. No calls. EOE