You will be instrumental in shaping and executing Morgan Stanley's financial crime risk mitigation strategy. This high-impact role requires a deep understanding of financial crime compliance, advanced data analytics, and expertise in one or more the following domains: Transaction Monitoring, Customer Screening (Sanction, PEP, Negative Media) and Customer Risk Ranking

Key Responsibilities:
• Strategy Development and Execution: Develop and implement comprehensive financial crime strategies that align with our firm's objectives and regulatory requirements.
• Drive continuous improvement in all matters pertaining to the operation of the financial crime compliance program through the development, setting and delivery of the GFC strategy.
• Control and System Enhancement: Drive the integration and enhancement of our monitoring, screening systems and investigative tools, leveraging advanced techniques, and data enrichments to improve detection accuracy and user experience.
• Advanced Analytics Application: Utilize advanced analytics and machine learning techniques to enhance effectiveness and efficiency in our financial crime applications.
• Customer Segmentation: Develop and implement advanced customer segmentation strategies to conduct a more precise detection, risk customers and tailor monitoring efforts accordingly.
• Data Exploration: Conduct in-depth data analysis to uncover hidden risks and trends, informing our strategic decision-making and incorporate insights/derived logic into GFC's automated controls.
• Develop and implement a process to review suspicious activity identified from sources outside of the automated transaction monitoring and screening controls (non-alerted) to identify opportunities to enhance detection and mitigate risk.
• Ensure current monitoring controls are functioning as intended and identify potential gaps in detection, coverage or data.
• Regulatory Compliance: Stay abreast of evolving regulatory requirements and ensure full compliance of financial crime strategies and processes.
• Enhanced Detection , User Experience and Investigation Capabilities: Drive initiatives to enhance detection of suspicious activity, and improve user experience of our financial crime tools and systems, enabling investigators to efficiently conduct complex investigations and visualize complex relationships between entities , such as enhancing the ability to identify and resolve entities (entity resolution) and analyze relationships between them (link analysis).
• Ongoing Monitoring: drive enhancement of our ongoing monitoring framework (by defining a robust set of KPIs and KRIs) to track deviations in the overall health/performance of GFC's models and shifts in risk profiles of various product and services.
• Generative AI Applications: Explore the potential of generative AI to streamline alert triage, case narrative generation, SAR writing, and other relevant use cases, improving efficiency and accuracy.
• Stakeholder Engagement: Effectively communicate with senior executives and stakeholders, providing clear and concise updates on our financial crime initiatives.

Candidates must have:
• Bachelor's degree in Finance, Economics, Engineering, Data Analytics, Business Administration, or a related field; MBA or advanced degree preferred.
• Minimum of 7-10 years of relevant experience, preferably in financial crime compliance, risk management, or a related field within a global financial institution.
• Proven track record in developing and executing successful financial crime strategies.
• Strong understanding of anti-money laundering (AML), sanctions compliance, and other relevant financial crime regulations.
• Experience with leading monitoring, screening systems, customer risk scoring and case management tools (e.g., Actimize, SAS, Oracle, Compliance Link, Bridger, RDC, etc.).
• Demonstrated expertise in data analytics, including tuning and optimization, and leveraging third-party data sources.
• Excellent analytical and problem-solving abilities with the capacity to interpret complex data and make strategic recommendations.
• Proficiency in data analysis tools such as SQL , Python , Excel and R.
• Familiarity with data visualization tools like Tableau for creating interactive and informative dashboard is a plus.
• Understanding of emerging technologies like generative AI and their potential applications in financial crime.
• Innovative mindset, challenging the status quo and a willingness to explore new technologies and processes to drive improvements in financial crime risk management.
• Strong ability to convene stakeholders to continuously execute GFC's forward strategy.
• Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.
• Highly motivated self-starter able to work independently while collaborating and coordinating as part of a global program.
• Professional certifications such as CAMS, CFE, or equivalent is preferred.

Where You'll be Working

This role is based out of New York and will require in office attendance 3 days/week. Two of those days will be Anchor Days where you will be in the office with your teammates to learn, grow, and collaborate in person.

Equal Opportunities Statement

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

Expected base pay rates for the role will be between $120,000 and $200,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.