FSS Data Services Analyst at Morgan Stanley (Baltimore, MD)

| Baltimore, MD
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About us: Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. Morgan Stanley provides a superior foundation for building a professional career - a place for people to learn, achieve and grow.

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. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.

Department Profile: The Finance Division reports to the Chief Financial Officer and consists of some 3,000 employees worldwide. Finance protects the Morgan Stanley franchise by serving as guardian of the Firm's books and records and by contributing to firm wide risk management and risk reduction. This division maintains relationships with Morgan Stanley's various industry and government regulators and also serves as the conduit of financial information to the outside investment community. Finance plays a critical role as advisor to Morgan Stanley's various businesses and its senior management team.

Team Profile: The Data Services team within Finance Shared Services team provides a key support function necessary for the timely and accurate submission of statistical and supervisory returns filed to various Regulators across global jurisdictions. The Data Services team supports the wider Finance organization by executing key controls to support the data accuracy of Internal and External reporting and driving data issue resolution with cross-functional teams. This is a high profile area of the business and it is an excellent opportunity to join an exciting and growing team and develop your reporting knowledge.

You will:

Monitor daily feed delivery for various products, supporting downstream reporting functions.

Perform data accuracy and completeness checks for data attributes.

Perform data profiling and identify data quality issues.

Inform users of / escalate critical data quality issues that may impact global calculations and reporting.

Review analytics to verify accuracy of financial reporting movements and liaise with key stakeholders to substantiate movements where applicable.

Perform adjustments to correct for data quality issues.

Produce data quality metrics for IT, Senior Management, and key stakeholders to monitor / measure progress and prioritize the Data Services agenda.

Support tactical and strategic data issue resolution.

Conduct ad-hoc data analysis for stakeholders.

Review and update relevant policies and procedures.

You have:

Excellent analytical, quantitative and problem solving skills.

Strong communication, organizational and time management skills.

Ability to work under the pressure of deadlines.

Ability to handle and resolve recurring challenges and problems.

Willingness to take initiative to develop and improve processes.

Risk awareness and good guardianship skills.

Self-motivated and promote teamwork.

Qualifications:

Bachelor's degree or above, Master's degree is a plu

1+ years relevant working experience in the financial services industry

Proficiency with Microsoft Office
More Information on Morgan Stanley
Morgan Stanley operates in the Financial Services industry. The company is located in Rochester, NY, New York, NY, Purchase, NY, Conshohocken, PA, Baltimore, MD, Richmond, VA, Westlake, OH, Beavercreek, OH, Tampa, FL, Kansas City, MO, Omaha, NE, New York, NY, San Francisco, CA and San Francisco, CA. Morgan Stanley was founded in 2022. It has 87899 total employees. It offers perks and benefits such as Flexible Spending Account (FSA), Disability Insurance, Dental Benefits, Vision Benefits, Health Insurance Benefits and Life Insurance. To see all 413 open jobs at Morgan Stanley, click here.
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