Systems Engineer - Financial Intelligence

Toffler Associates•Bethesda, MD

2d•Onsite

About The Position

Toffler Associates is hiring a Systems Engineer to support financial intelligence work. The role involves translating advanced academic knowledge and experience in economics, finance, political science, or quantitative social sciences into actionable technical insights for research and development. The position requires expertise in geoeconomics, financial intelligence methods, quantitative analysis, counter-terrorist financing and anti-money laundering missions, relevant regulatory frameworks, and integration of heterogeneous data sources. The successful candidate will also understand digital-asset ecosystems and contribute to scenario design, wargaming, or red-team analysis focused on geoeconomic competition and economic security. The role includes managing multidisciplinary research or test-and-evaluation programs, creating program plans and schedules, and applying technical evaluation and assessment techniques. Toffler consultants are accountable for work quality, engagement health, team performance, and client relationships. The company emphasizes teamwork, professional judgment, humility, reliability, and stewardship. Candidates are required to work onsite in Bethesda, Maryland, and must hold an active and maintained TS/SCI clearance with a CI polygraph.

Requirements

Active and maintained TS/SCI federal or DoD security clearance with a polygraph; the posting specifies a CI polygraph for onsite candidates.
Advanced academic training (M.A. or Ph.D.) and at least 2 years of experience in international economics, finance, political science, or quantitative social sciences.
Applied experience in geoeconomics, including supply chain analysis, strategic trade flows, sanctions regimes, foreign direct investment, or state-backed economic coercion.
Expertise in financial intelligence methodologies, including network analysis, beneficial ownership mapping, corporate registry exploitation, trade-based money laundering detection, or financial data fusion.
Experience with quantitative modeling and analytic methods relevant to economic security, including network analysis, econometrics, statistical inference, Monte Carlo methods, or machine learning for anomaly detection.
Direct experience supporting CFT/AML missions across government or the national security community, with familiarity in emerging typologies, cross-border capital movement patterns, and illicit finance risk assessment frameworks.
Working knowledge of BSA/AML, OFAC sanctions, export controls (ITAR/EAR), CFIUS, and authorities used in economic statecraft and foreign influence mitigation.
Strong analytic experience integrating heterogeneous data sources, identifying anomalous patterns, and detecting adversarial behavior.
Understanding of digital-asset ecosystems and architectures, including CBDCs, stablecoins, blockchain analytics, and cross-border payments infrastructure.
Background in scenario design, wargaming, or red-team analysis focused on geoeconomic competition, economic shocks, sanctions escalation, or critical resource disruption.
At least 1 year managing multidisciplinary research or test/evaluation programs.
At least 1 year creating program plans, WBS structures, and milestone schedules.
At least 1 year using technical evaluation and assessment techniques.
Ability to work onsite in Bethesda, Maryland.

Nice To Haves

Experience in the Intelligence Community, including requirements, CONOPS, and transition.
Experience managing a multidisciplinary R&D or T&E team.
Experience as a Project Manager or Deputy Project Manager.
Experience editing scientific articles, papers, and presentations for a wide range of audiences.

Responsibilities

Translate concepts in international economics, finance, political science, or quantitative social sciences into actionable technical insights for R&D.
Apply financial intelligence methodologies, including network analysis, beneficial ownership mapping, corporate registry exploitation, trade-based money laundering detection, and financial data fusion.
Use quantitative modeling and analytic methods relevant to economic security, including econometrics, statistical inference, Monte Carlo methods, and machine learning for anomaly detection.
Support CFT/AML missions and assess emerging typologies, cross-border capital movement patterns, and illicit finance risks.
Integrate heterogeneous financial, trade, customs, shipping, open-source, corporate registry, and alternative data sources to identify anomalous patterns and adversarial behavior.
Apply knowledge of statutory and regulatory regimes relevant to economic security and statecraft.
Assess digital-asset ecosystems and cross-border payments infrastructure, including relevance to sanctions evasion and AML.
Contribute to scenario design, wargaming, or red-team analysis focused on geoeconomic competition, economic shocks, sanctions escalation, or critical resource disruption.
Manage multidisciplinary research or test-and-evaluation programs.
Create program plans, work breakdown structures, and milestone schedules.
Use technical evaluation and assessment techniques.
Deliver complex client work while maintaining work quality, engagement health, team performance, and client relationships.