Set the strategic direction for advanced analytics within EFCC, with an emphasis on AI, machine learning, and scalable cloud architectures.
Lead and develop a high-performing analytics team spanning emerging risk analytics, quantitative modeling, and data intelligence.
Translate regulatory expectations, emerging typologies, and business needs into analytically sound, defensible solutions.
Oversee development and enhancement of customer- and account-level risk models, anomaly detection, and typology-driven analytics.
Expand use of machine-learning frameworks and AI-enabled tooling (e.g., clustering, relationship intelligence, natural-language analysis) to surface risk not fully covered by traditional monitoring.
Guide iterative model improvement using new data sources, feedback loops from investigations, and performance metrics.
Remain hands-on as needed to unblock team members, prototype solutions, and credibly challenge analytical assumptions.
Assist in driving the transition from legacy statistical tooling toward open-source and cloud-ready solutions, improving flexibility and speed to insight.
Support development of open-source equivalents for existing analytics and reporting capabilities to enable future cloud adoption.
Coordinate rapid-response analytics for emerging financial crime risks, integrating subpoena data, human intelligence, transaction data, and external insights.
Lead analytics supporting new and evolving typologies (e.g., novel fraud schemes, sanctions evasion, trafficking-related activity).
Maintain strong feedback cycles with investigators and risk partners to refine coverage and prioritize effort.
Ensure clear, consistent documentation across analytics lifecycles, including model design, assumptions, validation artifacts, monitoring reports, and procedures.
Communicate complex analytical concepts clearly to executive leadership, regulators, auditors, and cross-functional partners.
Represent Strategic Analytics in regulatory exams, internal reviews, and enterprise-level discussions.

Requirements

Bachelor’s degree required; advanced degree (MS/PhD) strongly preferred.
9+ years of experience in advanced analytics, quantitative modeling, or data science within financial services or regulated environments.
5+ years of experience leading analytics or quantitative teams.
Strong grounding in statistical modeling, machine learning, and model performance evaluation.
Experience working with open-source analytics stacks (e.g., Python-based ecosystems) and designing analytics for cloud or cloud-adjacent environments.
Ability to integrate structured and unstructured data, including transaction data and narrative-based intelligence.
Deep understanding of financial crime risk, emerging typologies, and risk-based monitoring approaches.
Strong familiarity with regulatory expectations, supervisory guidance, and model governance standards.
Experience supporting regulatory exams and translating analytics into examiner-ready narratives.
Demonstrated ability to operate at both strategic and execution levels.
Proven success influencing across teams without direct authority.
Clear, confident communicator with executive presence and strong written skills.

Benefits

Healthcare (medical, dental, vision)
Basic term and optional term life insurance
Short-term and long-term disability
Pregnancy disability and parental leave
401(k) and employer-funded retirement plan
Paid vacation (from two to five weeks depending on salary grade and tenure)
Up to 11 paid holiday opportunities
Adoption assistance
Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

advanced analyticsquantitative modelingdata sciencestatistical modelingmachine learningmodel performance evaluationanomaly detectionnatural-language analysisopen-source analyticscloud architectures

Soft Skills

leadershipcommunicationstrategic thinkinginfluencingteam developmentproblem-solvingdocumentationfeedback managementexecutive presenceclear writing