Senior Manager - Forensic Analytics-Anti-Money Laundering

About This Role

As a Senior Manager in Forensic Analytics, you will lead multidisciplinary teams to design and deliver data-driven solutions for regulatory, risk, AML, and financial crime challenges. You will drive client delivery, engagement growth, and practice eminence within Deloitte.

Responsibilities

• Oversee and lead multidisciplinary teams to design, develop, and deliver sophisticated data-driven solutions addressing critical AML and financial crime challenges.
• Shape project strategy and execution using intelligence-led approaches such as advanced transaction monitoring, model development and validation.
• Direct utilization and optimization of platforms including Actimize, Oracle FCCM, LexisNexis Fircosoft, Bridger, SAS Viya, and SAI/Norkom.
• Build and maintain strong client relationships, serving as a strategic advisor to C-level executives and stakeholders.
• Drive day-to-day engagement management, including solution architecture, scope and resource planning, and quality assurance.
• Champion capability development by fostering technical skill-building, innovation, and continuous learning within the team, and by mentoring managers and staff.
• Utilize cutting-edge Machine Learning, GenAI, and advanced analytics techniques to solve complex client problems and discover new business opportunities.
• Lead business development initiatives, including proposal development, client presentations, and thought leadership.
• Provide strategic input on technology investments and practice development initiatives to align with the firm's roadmap and growth objectives.
• Rigorously track performance metrics, including utilization, budget versus spend, and resource allocation.

Requirements

• Bachelor's degree
• 12+ years of hands-on technical and leadership experience in mining and analyzing complex electronic transactional data
• Deep proficiency in programming languages such as SQL, Oracle, Python
• Demonstrated track record in managing large-scale forensic analytics or financial crime compliance programs
• Extensive experience in AML, KYC, Transaction Monitoring, Sanctions, and regulatory risk analytics
• Expertise in data analytics tools (Power BI, Tableau), machine learning, and model development within AML, compliance, or risk management contexts
• Significant experience with enterprise-level platforms (Actimize, Oracle, LexisNexis Fircosoft, SAS Viya)
• Familiarity with data engineering tools (Informatica, Kafka, Snowflake, Hadoop)
• Superior communication and presentation skills
• Ability to balance and prioritize multiple, concurrent projects and delegate effectively

Qualifications

• Bachelor's degree from an accredited university
• 12+ years of hands-on technical and leadership experience in mining and analyzing complex electronic transactional data.

Nice to Have

• Advanced degree in a quantitative, technical, or business discipline
• Extensive experience managing large project teams and shaping strategy for forensic analytics or financial crime engagements
• Deep expertise in advanced analytics techniques including sampling, optimization, logistic regression, cluster analysis, Neural Networks, Decision Trees, and both supervised and unsupervised machine learning
• Demonstrated experience in business development, thought leadership initiatives, and building practice eminence
• Knowledge of data governance, data lineage, testing, and regulatory technical requirements
• Exposure to a variety of financial industry data sources, including wire transfers, trade finance, and broker/dealer environments

Skills

* Required skills