Financial Crimes & Compliance Analytics Senior Consultant

About the position Our rapidly growing Management consulting firm is seeking a highly skilled Senior Consultant with deep expertise in Financial Crimes, Anti–Money Laundering (AML), Know Your Customer (KYC), and Compliance Analytics. The ideal candidate will play a key role within our emerging Regulatory Technology (RegTech) practice, which partners closely with our Risk & Compliance Advisory team to design, test, and optimize cutting-edge regulatory and compliance solutions for clients across Technology and Fintech industries. This role will focus on supporting clients in mitigating financial crime risk by leveraging data-driven insights, regulatory frameworks, and advanced analytical tools. Senior Consultants will work with large, complex datasets to identify trends and anomalies, enhance monitoring systems, and ensure that compliance programs are both effective and efficient. You will have the opportunity to collaborate with top-tier Technology clients —helping them detect, prevent, and respond to financial crime risks using data, technology, and regulatory expertise.

Responsibilities

• Partner with clients to assess and enhance their financial crime compliance frameworks, including AML, KYC, sanctions screening, transaction monitoring, and fraud prevention.
• Develop and execute advanced SQL queries to extract, transform, and analyze large datasets related to customer due diligence, suspicious activity monitoring, and regulatory reporting.
• Support model calibration, validation, and tuning for financial crime detection and compliance monitoring systems
• Leverage data analytics tools (e.g., Python, Tableau, Power BI, Alteryx) to identify risk patterns, gaps, and control deficiencies across compliance programs
• Design and implement data governance and quality control processes to ensure the integrity and consistency of compliance data
• Collaborate with technology, legal, and compliance stakeholders to develop and enhance end-to-end financial crime management systems
• Create and maintain methodologies, documentation, and dashboards for ongoing monitoring, reporting, and model performance assessment
• Stay abreast of emerging regulations, typologies, and industry trends in financial crimes, AML, and RegTech innovation
• Provide actionable recommendations to improve operational efficiency, risk mitigation, and regulatory compliance outcomes
• Use AI tools independently to increase efficiency and improve deliverable quality (e.g., drafting, synthesis, analysis support, QA).
• Identify practical AI use cases in client and internal contexts that create tangible value (e.g., time savings, error reduction, improved insights).
• Apply AI responsibly by validating outputs (sources, logic, calculations) and exercising sound judgment before finalizing work.
• Review all AI-generated content for accuracy and completeness and ensure no unreviewed AI output is submitted as final.

Requirements

• Bachelor’s degree required; MBA or Master’s preferred in Business, Finance, Data Analytics, or related field
• Proficiency in data analytics tools and programming languages (SQL, Python, R, SAS)
• Experience with data visualization platforms (Tableau, Power BI, Qlik)
• Fintech, Technology, or Financial Services Consulting (required)
• 5+ years of experience in one or more of the following areas:
• AML / Financial Crimes Compliance
• KYC / Customer Due Diligence
• Transaction Monitoring / Sanctions Screening
• Regulatory Technology or Data Analytics in a compliance context
• Deep understanding of financial crimes regulations (Bank Secrecy Act, USA PATRIOT Act, OFAC sanctions, FinCEN requirements and/or equivalent international standards)
• Knowledge of typologies and red flags associated with money laundering, terrorist financing, and fraud
• Proven ability to analyze complex datasets and translate findings into strategic recommendations
• Strong communication skills, with the ability to work collaboratively across technical and non-technical teams

Nice-to-haves

• Familiarity with transaction monitoring systems (Actimize, SAS AML, Fiserv, etc.)
• Strong understanding of relational databases and data warehousing concepts
• Experience with machine learning and predictive modeling techniques is a plus
• Understanding of regulatory expectations for model risk management and model validation
• Experience working with regulatory agencies
• Knowledge of emerging technologies in financial crimes (AI/ML, blockchain analytics, network analysis)
• Experience with cloud platforms (AWS, Azure, GCP)
• Familiarity with Agile methodologies and DevOps practices

Benefits

• Annual base salary starting at $130,600, commensurate with experience and qualifications
• Annual performance based discretionary bonus
• Robust Health Coverage
• 3 Medical plans
• Dental and Vision
• Life, AD&D and other voluntary insurance
• Tax-Advantaged Accounts
• 401K retirement plan, 4% matching and 100% vested upon enrollment
• Health Savings Account (HSA)
• Flexible Spending Account (FSA)
• Health, Dependent Care, Commuter
• Family Friendly Benefits
• 100% paid parental leave for all new parents with eligible tenure
• Building Healthy Families program if enrolled through Medical plan
• Time Off to Recharge
• Generous Paid Time Off (PTO) policy
• 9 company holidays plus 1 floating holiday
• Extras that Make Life Easier
• College savings and student loan repayment assistance
• Monthly cell phone stipend
• Access to wellness programs at no cost if enrolled through Medical plan, including:
• Gym membership reimbursement
• LiveHealth Online virtual care
• Personalized support from a Well-being Coach
• Employee Assistance Program at no cost
• Free confidential counseling and emotional support services
• On-demand access to Emotional Well-being resources (ranging from relaxation techniques to stress management)

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