Technical SETA SME - Financial Intelligence

M1 Technology; Bethesda (MD); On-site; USD 120,000 - 180,000; Full time

Job summary

M1 Technology, LLC seeks a Technical SETA SME - Financial Intelligence to join our Bethesda, MD team. The role requires TS/SCI with Polygraph and deep expertise in geoeconomics, sanctions regimes, and financial intelligence methods.

You will support multi-disciplinary efforts across government and national security domains, integrating diverse data sources and applying quantitative models. The position emphasizes program management, planning, and hands-on evaluation of analytic techniques.

Qualifications

• Applied geoeconomics analysis across supply chains and sanctions regimes.
• Expertise in financial intelligence methodologies and data fusion.
• Experience with quantitative modeling and econometrics for security.
• Background supporting CFT/AML missions with regulatory familiarity.
• Knowledge of BSA/AML, OFAC, ITAR/EAR, CFIUS.
• Ability to integrate diverse datasets: financial, trade, customs.
• Understanding of digital assets ecosystems and cross-border payments.
• Background in scenario design, wargaming, or red team analysis.
• Experience managing multi-disciplinary research programs.
• Experience creating program plans and milestones.
• Using evaluation techniques for tech assessments.

Skills

Geoeconomics analysis

Financial intelligence

Network analysis

Data fusion

Regulatory knowledge

Red team design

Program management

Job description

M1 Technology, LLC is seeking a Technical SETA SME - Financial Intelligence to join one of our subsidiaries in Bethesda, Maryland.

Clearance Requirement: TS/SCI with Polygraph

Required Qualifications:

• Applied experience in geoeconomics, including: supply chain analysis, strategic trade flows, sanctions regimes, foreign direct investment, state backed economic coercion
• Expertise in financial intelligence methodologies, including: network analysis, beneficial ownership mapping, corporate registry exploitation, trade based money laundering detection, financial data fusion
• Experience with quantitative modeling and analytic methods relevant to economic security, including: network analysis, econometrics, statistical inference, Monte Carlo methods, 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, illicit finance risk assessment frameworks
• Working knowledge of statutory and regulatory regimes, including: BSA/AML, OFAC sanctions, export controls (ITAR/EAR), CFIUS, authorities used in economic statecraft and foreign influence mitigation
• Strong analytic experience integrating heterogeneous data sources, including: financial records, trade data, customs and shipping data, open source economic indicators, corporate registries and datasets, alternative/nontraditional data, anomalous pattern identification, adversarial behavior detection
• Understanding of emerging digital assets ecosystems and architectures, including: CBDCs, stablecoins, blockchain analytics, cross border payments infrastructure, relevance for sanctions evasion and AML
• Background in scenario design, wargaming, or red team analysis, with focus on: geoeconomic competition, economic shocks, sanctions escalation, critical resource disruption
• 1 year managing multi-disciplinary research or test/evaluation programs
• 1 year creating program plans, WBS structures, milestone schedules
• 1 year using technical evaluation and assessment techniques