Global Financial Crimes: AML Screening Model Analyst

Assist with development and optimization of the KYC Controls program including the Enterprise Customer Risk Ranking (ECRR) and Negative News & Politically Exposed Persons (PEP) screening to meet new or evolving regulatory requirements, industry best practices and Firm/GFC risk tolerances. Execute and improve client screening controls, with a focus on Adverse media (negative news) detection and PEP identification and classification Collaborate with compliance technology and data teams to optimize screening platforms including Fuzzy matching logic, entity resolution enhancements, alert suppression and logic tuning Contribute to the design and evaluation of machine learning models to enhance name matching and entity disambiguation, reduce false positives, prioritize high-risk screening hits Analyze alert trends and screening performance using SQL, Python, and BI tools (e.g., Tableau or Power BI). Support data quality, lineage, and governance initiatives to ensure ac-curate and auditable client screening inputs. Liaise with stakeholders and subject matter experts across regions and business units to gather feedback and requirements Stay up to date on regulatory developments related to financial crime screening such as ensuring models comply with global regulatory expectations such as those from FATF, FinCEN, OFAC, FCA, and other relevant authorities Directly perform data manipulation and other analysis on large datasets to support the development of solutions that derive insights from a variety of data sources connecting the dots on GFC risks facing the Firm (e.g. Client Reference data, Negative New screening, ECRR modeling) Analyze model output and identify opportunities for improvement in accuracy, precision, recall, and other key metrics Clearly document and communicate processes, findings, and improvements to present analysis results in Excel reports or PowerPoint presentations that are tailored to the stakeholders and tell a story Coordinate with Financial Crimes Technology (FCT) and other Legal and Compliance colleagues in addressing regulatory requests and questions from other departments within the Firm on the KYC Controls monitoring program 4+ years relevant work experience, with respect to AML screening controls of financial crimes within large financial institutions Bachelor's degree in finance, Economics, Business Analytics, Data Science or a related field. 2+ years of experience in data analysis, preferably within AML, compliance, or financial crime investigation. Proficiency in SQL, Python, R, or other data analysis tools. Experience with AML screening tools (e.g., Actimize, World-Check, LexisNexis, Dow Jones). Strong understanding of financial crime typologies, PEP risks, and adverse media monitoring. Knowledge of regulatory requirements (e.g., BSA, AMLD, FATF, OFAC, FinCEN) is a plus. Familiar with Agile methodology including relevant productivity software such as Jive, Jira, and Tableau, and user stories writing Strong organizational skills and an ability to manage multiple demands and changing priorities with a tight timeframe Experience with engaging stakeholders across compliance, technology, and the business Proven ability to take ideas forward and to challenge others with integrity and maturity Ability to identify, monitor, and manage project risks, issues, and dependencies, and agree appropriate risk responses Technology savvy with ability to quickly learn new systems and tools, and to identify and implement enhancements Outstanding judgement, analytical skills, and critical thinking, including solid ability to analyze data to draw conclusions/themes and think strategically about presentation of materials Ability to work in a proactive and self-directed way with minimal oversight and task management Strong Microsoft Office skills, including advanced Excel functions and PowerPoint, interpersonal and teamwork skills Strong and hands-on knowledge of databases, SQL, and structured data Bachelor/advanced degree in engineering, computer science, or a related science/data field We have a track record of innovation and passion for unlocking new opportunities, we help our clients raise, manage and allocate capital. We do this by offering a wide range of investment banking, securities, wealth management and asset management services. These aren't just beliefs, they guide the decisions we make every day, ensuring we do what's best for our clients, communities and more than 80,000 employees around the world. And at the core of our success are the people who drive it - relentless collaborators and creative thinkers who are fueled by diverse thinking and experiences. Wherever you are in our 1,200 global offices, you'll have the opportunity to work alongside the best and the brightest in an environment where you are empowered to achieve your full potential. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Expected base pay rates for the role will be between 75000 and 120000 per year at the commencement of employment. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.