Job Title:  Senior Executive | Data Modelling | Forensic & Financial Crime

Overview of role and associated job description

Economic Sanctions and Screening team responsible for developing, enhancing, and validating sanctions screening frameworks and models. This role plays a pivotal part in fortifying the firm's financial crime risk posture by ensuring our screening capabilities align with global regulatory expectations and industry best practices.

Responsibilities

• Design and Development: Develop, test, and optimize sanctions screening frameworks including name and payment screening methodologies.
• Model Enhancement: Evaluate existing sanctions models (fuzzy matching algorithms, rules logic, thresholds) and propose enhancements based on regulatory guidance and operational feedback.
• Framework Review: Conduct periodic and event-driven reviews of sanctions screening models to ensure continued relevance and compliance with OFAC, EU, UN, and other regulatory standards.
• Scenario Calibration and Tuning: Support tuning and threshold analysis for match scoring, leveraging historical alert data and false positive metrics.
• Data Analytics and Insights: Analyze screening outcomes to identify gaps, trends, and patterns that inform risk mitigation strategies and enhance effectiveness.
• Documentation and Governance: Prepare and maintain comprehensive model documentation, validation reports, and technical specifications in line with model risk governance frameworks.
• Stakeholder Engagement: Collaborate with compliance officers, technology teams, and business stakeholders to gather requirements, explain model logic, and support audits and regulatory reviews.

Required Experience and Skills:

• Domain Expertise:
• 1-3 years of hands-on experience in sanctions screening framework development, tuning, and validation.
• Familiarity with leading screening platforms (e.g., FircoSoft, Bridger, Actimize, Oracle Watchlist Screening, etc.) and list management practices.
• In-depth understanding of global sanctions regimes (OFAC, EU, UN, HMT) and related regulatory expectations.
• Experience in integrating sanctions screening models with broader AML/CFT frameworks.
• Exposure to AI/ML techniques for entity resolution or fuzzy matching optimization.
• Prior involvement in regulatory examinations or independent validations of screening tools.

• Technical Proficiency:
• Strong programming and scripting skills (Python, R, SQL, SAS).
• Experience in data modeling, scoring logic calibration, and large-scale dataset analysis.
• Analytical Thinking:
• Ability to conduct root cause analysis on alert quality issues.
• Strong quantitative and qualitative problem-solving capabilities.
• Communication:
• Strong written and verbal communication skills, including the ability to explain technical models to non-technical stakeholders.
• Ability to craft data-backed narratives and present recommendations with clarity.

Education

Bachelor's Degree / Master's Degree

Location

Chennai /Bengaluru / Mumbai