Senior Executive

6 days ago


Mumbai, Maharashtra, India Deloitte Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job requisition ID :: 90104

Date: Sep 26, 2025

Location: Mumbai

Designation: Senior Executive

Entity: Deloitte South Asia LLP

Key Responsibilities
  • Data Analysis & Reporting
  • Extract, 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 & Testing
  • Conduct 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 Support
  • Analyze 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 Alignment
  • Support 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 Improvement
  • Identify 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 & Skills

Essential:

  • Bachelor's/Master's 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).


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