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Morgan Stanley

Business Analyst-Model Risk

Morgan Stanley, Baltimore, Maryland, United States, 21276

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Get AI-powered advice on this job and more exclusive features. Company Profile

Morgan Stanley is a global financial services firm and a market leader in investment banking, securities, investment management and wealth management services. With offices in more than 43 countries, the people of Morgan Stanley provide our clients with the finest thinking, products and services to help them achieve even the most challenging goals. As a market leader, the talent and passion of our people is critical to our success. We embrace integrity, excellence, teamwork and giving back. Department Profile

Professionals within the Legal and Compliance Division (LCD) provide a wide range of services to our business units. They might help to structure a complex and sensitive cross?border transaction; advise on a new product introduction; develop a training programme or defuse an investor dispute. They preserve the firms invaluable reputation for integrity and protect the firm from sanctions with policies and procedures that meet regulatory requirements around the world. They also strive to maintain cooperative relationships with governmental policymakers and the regulatory and self?regulatory agencies that govern the firms businesses. Non?Financial Risk Department

The Non?Financial Risk (NFR) Department forms the second line of defence for the management of the firms non?financial risks, including Financial Crimes, market manipulation or abuse, and Operational risk. NFR Data & Analytics, a function in the Legal and Compliance Division, is responsible for designing and optimising surveillance models, approaches and tools using advanced analytical techniques such as supervised and unsupervised machine learning, and evolving techniques such as graph analytics. These surveillance and other tools help identify suspicious and/or illegal behaviours such as money laundering, market manipulation, insider trading, unfair sales or trading practices, and other financial crimes. Primary Responsibilities Draft comprehensive documentation on the design of models within LCD. Establish ongoing monitoring controls, collaborating with quantitative analysts and subject?matter experts to develop or enhance models. Assist in the tuning and optimisation of various Financial Crime Compliance (FCC) models, including those used for trade surveillance, transaction monitoring and sanctions screening, potentially involving machine learning or artificial intelligence. Support model developers and vendors in performing thorough testing of the models, as well as designing challenger models or compensating controls to ensure optimal model performance. Maintain existing LCD models by executing or overseeing qualitative analyses related to ongoing monitoring, periodic assessments, above?the?line testing, below?the?line testing and tuning. Conduct internal and external research on new trends in modelling approaches, perform gap analysis with existing model controls, provide proposals, and assist stakeholders in implementing proposed solutions. Perform root?cause analyses associated with potential anomalies detected in model performance. Document or oversee the documentation of analyses, recommendations and rationales for each activity related to the models.

Model Governance and Reporting Responsibilities

Manage and maintain the model risk governance framework for FCC models, ensuring adherence to internal Model Risk Management (MRM) policies and regulatory standards (e.g., OCC 2011?12, SR 11?7, PRA SS1/23). Assist in the preparation of periodic and ad?hoc metrics reports for senior management, through the evaluation and enhancement of existing metrics and supporting processes. Track and report model changes and the results of model tuning and optimisation activities to LCD advisory heads, the Model Risk Management and the Internal Audit groups. Liaise with the MRM Group, the Internal Audit Department, regulatory bodies and other stakeholders during reviews, validations and exams.

Required Skills

Bachelors degree with strong academic credentials in business, economics, finance, management information systems, management, risk management or related fields from a top?tier university. At least 4 years relevant experience, preferably in Financial Crime Compliance, Model Risk Management, Risk Control or related domains within Financial Services. Good understanding of AML, sanctions and/or trade surveillance models. Excellent communication and presentation skills, with the ability to convey complex technical concepts to non?technical stakeholders. Strong analytical thinking and critical reasoning skills, with the ability to work independently and be self?motivated.

Desired Skills

Understanding of Fed SR 11?7/OCC Bulletin 2011?12 on Model Risk Management or related domains in Financial Services. Curiosity and eagerness to stay informed of regulatory developments impacting model risk and financial?crime compliance (AML, sanctions, market abuse, etc.). Understanding of models, financial markets and banking. Proficiency in data analysis tools (SQL, Python, Excel) and visualization (Power?BI, Tableau) is a plus. Experience in defining and owning product roadmaps and their delivery.

What You Can Expect From Morgan Stanley

We are committed to maintaining first?class service and high standards of excellence that have defined Morgan Stanley for over 89?years. Our valuesputting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving backguide everything we do. Youll find an opportunity to work alongside the best and brightest in an environment where you are supported and empowered. The expected base pay for this role ranges between $90,000 and $155,000 per year, with additional commission earnings, incentive compensation and discretionary bonuses. We offer a comprehensive benefits package that includes health, wellness and retirement plans, as well as generous leave and family?friendly policies. Morgan Stanley is an equal?opportunity employer committed to diversifying its workforce. We ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender identity or expression, transgender status, sexual orientation, national origin, citizenship, disability, marital status, veteran or military service status, genetic information or any other characteristic protected by law. Seniority level

Mid?Senior level Employment type

Full?time Job function

Research, Analyst, and Information Technology

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