Director, TM Solutions Design & Analytics

Key Responsibilities

• Design, Devop and deploy models for anomaly detection, behaviour profiling, network analysis, predictive scoring for TM Solutions and act as a single Point of Contact for assigned AML Transaction Monitoring Modelling related matters.
• Perform data exploration, feature engineering and ensuring models are accurate, efficient and scalable.
• Support for analytical processes to enhance TM red flag monitoring and Optimising cases for investigation through AI/ML models and analytical processes.
• Improve processes such as threshold tuning, reconciliation, segmentation, optimisation etc. associated with the Transaction Monitoring function across products such as CASA, Trade, Credit Cards, Securities and Financial Markets.
• Support in design of different scenario models, development and validation including data quality validation, model effectiveness, rules logic for effective risk analytics.
• The role holder is accountable for ensuring all processes/ models follow Bank’s governance process including Model Risk Policy Governance and Risk Based Rule review.
• Knowledge of core banking, payment, CDD, securities and other systems and interplay/linkages between them. Understand business domain aspects relevant to AML Monitoring and Case Management.
• Able to conceptualize, design, support and align relevant processes and controls to industry best practice, and close out any compliance gaps.
• Mentoring and conducting training programs to bring the new joiners and team up to speed on new business requirements.
• Provide endorsement for changes or remediation activities impacting AML Optimisation models. Also engaging with relevant stakeholders for deploying the changes to production.
• Work on processes such as threshold tuning, reconciliation, segmentation, optimisation etc. associated with the Transaction Monitoring function across products such as CASA, Trade, Credit Cards, Securities and Financial Markets.
• Work towards the collective objectives and scorecard of the business function published from time to time in the form of job and performance objectives for defined periods.

• 10+ years of hands on experience in Transaction Monitoring design and development with at least 5 years focussed on financial crime threat risk mitigation.
• Post Graduate degree in Management/Statistics/Mathematics OR Graduate degree in Engineering from a reputed institution.
• Strong background in deploying models within TM or compliance environment with solid understanding of AML/CFT regulations.
• Strong coding skills in Python, R, SQL and familiarity with data engineering practices for model integration.
• Strategic thinking and technical expert with a strong background in financial crime detection and prevention, specifically using advanced analytical methodologies.
• Hands-on expertise to design, develop and deploy analytics/models to detect suspicious activities and financial crime using.
• Technical expertise, a strategic mindset for enhancing Transaction Monitoring effectiveness, and good familiarity with the compliance regulations in financial sector.
• Expertise in risk management, data science, compliance advisory and Surveillance (Specifically Monitoring).
• Proficiency in programming languages as R, Python, SAS, STATA, C++, and SCALA.
• Advanced skills in SQL, HQL, Hive, and Hadoop scripting, along with experience in databases like Oracle and HaaS.
• Expertise in statistical modelling, machine learning, and data analysis.
• Certification from ACAMS or equivalent.

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