Senior Manager, Forensic Analytics Work you’ll do

As a Senior Manager, you will serve as a key leader across complex, high-profile engagements, responsible for driving client delivery, engagement growth, and practice eminence. Your responsibilities will include:

• 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.

• 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.

• Direct utilization and optimization of platforms including Actimize, Oracle FCCM, Lexis Nexis Fircosoft, Bridger, SAS Viya, SAI/Norkom, and other leading technologies.

• 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.

• Drive day-to-day engagement management, including solution architecture, scope and resource planning, delivery operations, risk and issue management, and end-to-end 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 (e.g., XGBoost, Ensemble), 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 to expand Deloitte’s marketplace eminence.

• 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, ensuring project and practice objectives are achieved.
  Qualifications Minimum Qualifications

• Bachelor’s degree from an accredited university; advanced degree preferred.

• 12+ years of hands-on technical and leadership experience in mining and analyzing complex electronic transactional data, with deep proficiency in programming languages such as SQL, Oracle, Python.

• Demonstrated track record in managing large-scale forensic analytics or financial crime compliance programs, with 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, Lexis Nexis Fircosoft, SAS Viya), and familiarity with data engineering tools (Informatica, Kafka, Snowflake, Hadoop).

• Superior communication and presentation skills, with the ability to engage effectively with senior client executives, regulators, and cross-functional internal teams.

• Proven ability to balance and prioritize multiple, concurrent projects and delegate effectively to ensure timely and successful delivery.

• Demonstrated commitment to personal and professional growth, as well as to the development and mentorship of peers and junior staff.

• High level of integrity, initiative, and professional judgment.

• Limited immigration sponsorship may be available.

• Ability to travel up to 25%, based on engagement requirements.
  Preferred Qualifications

• Advanced degree in a quantitative, technical, or business discipline (e.g., Computer Science, Statistics, Mathematics, Business Administration, Finance).

• 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.
  Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $167300-$292900.