Vice President - Financial Crimes Risk Intelligence & Assessment Office

Morgan Stanley•Town/Village of Harrison, NY

7d•$115,000 - $205,000

About The Position

The Financial Crimes Risk Intelligence & Assessment Officer (VP) supports and executes Morgan Stanley’s First Line Financial Crimes program for Wealth Management and U.S. Banks. The role helps set program strategy, provides advisory and oversight support, and conducts tool-enabled portfolio and program-level risk assessments. It converts data signals into defensible risk decisions and control actions while partnering with business and second- and third-line stakeholders to maintain compliance with applicable standards, policies, procedures, laws, and regulations. The officer partners with Business, Technology, Compliance, Legal, Operations, and Risk Management to translate financial crime risks, typologies, and regulatory expectations into practical control requirements and embed them into processes and governance. The role uses intelligence, analytics, and financial-crimes tools to evaluate customer populations, due-diligence attributes, screening, transactions, products, channels, and geographies; identify trends, typologies, and control gaps; and translate findings into risk mitigation and governance reporting. The position also supports decisions on transactions and activities that may create financial-crimes risk, analyzes beneficial ownership and complex entity structures, translates international risk considerations into U.S. AML/KYC requirements, and supports responsible use of approved AI-enabled capabilities in line with model risk management expectations.

Requirements

At least 7 years of relevant experience with BSA/AML regulations in the financial services industry and/or at a financial services regulator.
Financial-crimes investigative experience, such as investigations, intelligence-led reviews, complex EDD, or suspicious-activity typology development, with demonstrated ability to identify and communicate trends using financial-crimes tools or large-scale analytics.
Experience conducting client, thematic, portfolio, or program-level financial-crimes risk assessments within a risk-based framework.
Experience translating regulatory expectations and typology insights into practical first-line controls, procedures, and governance routines.
Knowledge of financial-crimes laws and regulations and best-practice First Line procedures, including risk-based customer due diligence consistent with supervisory expectations.
Bachelor’s degree in business, finance, or a related field.
ACAMS (CAMS) or equivalent AML certification/license.
Ability to work effectively in a fast-paced, high-profile environment.
Ability to analyze and synthesize complex information and communicate typologies, data signals, and investigative rationale clearly to technical and non-technical audiences.
Ability to turn tool outputs and portfolio analytics into actionable controls, escalation thresholds, and operating guidance.
Ability to demonstrate leadership, manage teams, and influence without direct authority.
Integrity and professionalism, with the ability to handle confidential information with discretion.
Ability to think innovatively within a controlled, risk-based framework and use investigative, analytical, and process-based methods to identify financial-crimes risk.
Strong time-management and planning skills.
High proficiency in MS Office, including Excel, PowerPoint, Word, and Access.
Comfort working with large datasets and analytical outputs, including dashboards, segmentation, and trends, and translating insights into clear risk actions in partnership with data and analytics teams.
Innovative, continuous-improvement mindset focused on better tool use, streamlined investigative decisions, and stronger risk detection.
Familiarity with external typology and red-flag publications and ability to apply them to monitoring, training, and risk assessments.

Nice To Haves

Master’s degree in business, finance, law, or a related field.
Experience with model or tool risk, governance, or validation for AML/BSA systems.
Exposure to AI applications in financial crimes, including awareness of data quality, bias, explainability, governance, validation, and control considerations.

Responsibilities

Execute portfolio and thematic financial-crimes risk assessments across customer types, products and services, delivery channels, and geographies; prioritize findings and measurable mitigation actions through emerging-risk reviews, heightened-risk portfolio reviews, and targeted deep dives.
Assess financial-crimes risks for new and existing clients and recommend, document, and communicate mitigation and escalation plans.
Use KYC/EDD, case management, adverse media, screening, transaction monitoring, customer risk-rating, and dashboard outputs to identify patterns, anomalies, exposure changes, and control gaps; translate findings into risk decisions, client actions, control enhancements, and governance reporting.
Identify and operationalize trends and typologies using investigative and intelligence-led experience, working directly with tools or with analytics teams; incorporate external advisories and red flags into monitoring hypotheses, thematic reviews, training, and escalation criteria.
Analyze cross-border risks and determine how jurisdiction-specific concerns—including corruption, sanctions, ownership transparency, complex structures, and high-risk industries—affect U.S. AML/KYC requirements and controls.
Apply U.S. AML/CFT and BSA/AML requirements to KYC, customer risk assessment, and control design; develop scalable first-line guidance and procedures and support compliance with applicable regulations, standards, and policies.
Develop and report portfolio risk indicators, trend and typology insights, and control performance metrics.
Use intelligence, tool outputs, portfolio analytics, process reviews, control testing, and frontline feedback to challenge assumptions, test hypotheses, and identify emerging or non-obvious risks.
Collaborate with senior business leaders, Second Line, Technology, Internal Audit, Compliance, Legal, Operations, and data teams to align requirements and deliver scalable controls across business lines.
Support decisions on transactions and activities that may create financial-crimes risk, including escalation pathways, risk-acceptance rationale, and compensating controls.
Translate international risk considerations into U.S. AML/KYC requirements and design mitigants when foreign documentation, registries, or legal constraints create gaps.
Apply beneficial ownership requirements and analyze ownership and control structures for legal entity customers.
Support responsible use of approved AI-enabled capabilities by defining use cases, requirements, controls, validation considerations, and documentation consistent with model risk management expectations.
Identify issues, investigate root causes, and deliver scalable solutions that reduce operational friction and strengthen risk coverage.
Lead and manage teams and influence stakeholders without direct authority.