Business Analyst - Finance Change

Morgan Stanley•Baltimore, MD

5d•$75,000 - $120,000

About The Position

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. We advise, originate, trade, manage and distribute capital for governments, institutions and individuals. As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. We provide you a superior foundation for building a professional career where you can learn, achieve and grow. This role sits within the Centralized Finance Change team and reports to the Chief Operating Officer. Our team is composed of strong techno-functional who collaborate globally across Finance, Technology, and other divisions, taking full ownership of system and product transformation initiatives. We foster a vibrant and diverse environment, with teams engaged in a wide range of functional and technological deliveries. Our culture emphasizes innovation, inclusion, community engagement, and continuous knowledge sharing. We are seeking a Business Analyst with 4+ years of experience to lead the delivery of complex projects and advance data governance initiatives in Finance. The candidate needs to be able to collaborate with cross-functional teams across IT, Finance, and Risk, operating in a dynamic, fast-paced, and high-visibility environment.

Requirements

Over 4 years of experience as a Business Analyst, delivering insights and driving process improvements across cross-functional teams.
Excellent written and verbal communication skills; adept at engaging stakeholders at all organizational levels.
Highly organized with strong attention to detail and a process-oriented mindset.
Proactive self-starter with effective time management skills and a collaborative team approach.
Strong analytical and problem-solving capabilities, with experience in data quality assessments, root cause analysis, and data reconciliation.
Familiar with process design and strategic thinking to support business transformation initiatives.
Strong proficiency in Microsoft Visio and Excel.

Nice To Haves

Exposure to financial instruments including Fixed Income, Equities, and Derivatives.
Experience in data quality management within financial services or capital markets.
Knowledge of financial statements and regulatory reporting frameworks is an added advantage.
Background in Data Governance or Data Lineage initiatives.
Experience working in Agile teams and an understanding of Agile practices and tools such as Rally, JIRA, Alteryx, and Power BI is desirable.

Responsibilities

Possess strong analytical and communication skills to support initiatives aimed at improving the quality, timeliness, and centralization of data, while also delivering capabilities to enhance financial and regulatory reporting processes.
Document current-state processes and define business requirements, including target-state process design.
Perform and leverage in-depth data analysis to define business requirements and ensure alignment with technology implementation.
Manage and participate in complex cross-functional projects from initiation through execution, ensuring alignment with strategic objectives and timely delivery.
Create user stories with acceptance criteria and strategize on UAT planning and test scenarios with all stakeholders - IT, users, and project
Possess advanced analytical and problem-solving skills with ability to grasp complexities and make sound decisions under pressure and resolve issues efficiently.
Develop a strong understanding of financial products and existing reporting frameworks.
Collaborate with key stakeholders, Technology and Change team to design solutions, prioritize and resolve issues.
Support the testing phase, including defining the testing approach, creating test plans and cases, and tracking testing metrics with all stakeholders.
Advance data governance objectives within the Finance division by updating the data dictionary, data quality controls, and supporting feed governance and data lineage tracking.
Ensure a seamless transition from project execution to business-as-usual (BAU) operations.