Senior Manager - Forensic Analytics-anti-money Laundering

Senior Manager role in Forensic Analytics focusing on Anti-Money Laundering (AML) and financial crime. The role involves leading teams to design and deliver data-driven solutions using advanced analytics, machine learning, and GenAI techniques for regulatory compliance. Key responsibilities include shaping project strategy, client relationship management, and business development within the fintech domain.

What you'd actually do

  1. Oversee and lead multidisciplinary teams of data analytics professionals, software engineers, and business analysts to design, develop, and deliver sophisticated data-driven solutions addressing critical regulatory, risk, AML, and financial crime challenges.
  2. Shape project strategy and execution, employing intelligence-led and innovative approaches—such as advanced transaction monitoring, model development and validation, model risk management, and tuning—to meet evolving global regulatory requirements.
  3. Build and maintain strong client relationships, serving as a strategic advisor to C-level executives and key stakeholders to ensure the effective translation of analytical solutions into actionable business insights and regulatory compliance recommendations.
  4. Utilize cutting-edge Machine Learning (e.g., XGBoost, Ensemble), GenAI, and advanced analytics techniques to solve complex client problems and discover new business opportunities.
  5. Lead business development initiatives, including proposal development, client presentations, and thought leadership to expand Deloitte’s marketplace eminence.

Skills

Required

  • SQL
  • Oracle
  • Python
  • Power BI
  • Tableau
  • machine learning
  • model development
  • Actimize
  • Oracle FCCM
  • LexisNexis Fircosoft
  • SAS Viya
  • Informatica
  • Kafka
  • Snowflake
  • Hadoop

Nice to have

  • advanced degree
  • sampling
  • optimization
  • logistic regression
  • cluster analysis
  • Neural Networks
  • Decision Trees
  • supervised machine learning
  • unsupervised machine learning
  • business development
  • thought leadership
  • data governance
  • data lineage
  • testing
  • regulatory technical requirements
  • wire transfers
  • trade finance
  • broker/dealer environments

What the JD emphasized

  • model development and validation
  • model risk management
  • AML
  • KYC
  • Transaction Monitoring
  • Sanctions
  • regulatory risk analytics
  • Machine Learning
  • GenAI
  • advanced analytics techniques

Other signals

  • model development and validation
  • model risk management
  • Machine Learning
  • GenAI
  • advanced analytics techniques