Senior Executive | Financial Crime | Mumbai | Forensic & Financial Crime

Key ResponsibilitiesData Analysis & ReportingExtract, transform, and analyze large datasets using SQL and Python to support financial crime risk management.Design dashboards and reports that provide insights into model performance, alert quality, and operational efficiency.Model Validation & TestingConduct Above-the-Line (ATL) and Below-the-Line (BTL) testing to evaluate financial crime detection models.Perform threshold tuning and scenario calibration to optimize model sensitivity and effectiveness.Support model validation exercises, including documentation and reporting of findings.Financial Crime Model SupportAnalyze transaction monitoring, sanctions screening, and fraud detection model outputs to identify trends, gaps, and anomalies.Recommend enhancements to detection logic, thresholds, and parameters based on testing results.Collaborate with model developers and compliance teams to ensure models meet business and regulatory requirements.Risk & Compliance AlignmentSupport AML, sanctions, and fraud teams in assessing the effectiveness of controls.Document testing methodologies, assumptions, and outcomes in line with regulatory expectations (FATF, RBI, EU, US).Continuous ImprovementIdentify process gaps, data quality issues, and opportunities to automate testing and reporting.Contribute to the design of reusable scripts, tools, and frameworks for ongoing model monitoring.Qualifications & SkillsEssential:Bachelors/Masters degree in Computer Science, Statistics, Data Science, Economics, or related field.Proficiency in SQL (complex queries, performance optimization) and Python (data manipulation, pandas, numpy, visualization libraries).Strong knowledge of financial crime compliance domains (AML, KYC, Sanctions, Fraud).Hands-on experience with ATL/BTL testing, threshold tuning, and model calibration.Analytical mindset with the ability to translate data insights into business recommendations.Preferred:Experience with transaction monitoring systems (e.g., Actimize, Mantas, NetReveal, SAS).Knowledge of regulatory guidelines (FATF, FinCEN, RBI, EU AMLD, OFAC).Exposure to machine learning techniques and anomaly detection in the compliance context.Familiarity with visualization tools (Tableau, Power BI, Qlik).