Jobs for People with MS: National MS Society

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries.

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, achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.

The Analytics & Data team within Morgan Stanley Wealth Management Client Segment Group owns all the senior management reporting, customer and product behavior insights, and predictive modeling in support of Wealth Management, Banking, and Firmwide Marketing.

Responsibilities Include:

· Drive improvement in metric development and measurement across marketing campaigns, events, strategic initiatives, and digital products and platforms

· Partner with the Path to Advice team to create opportunities for optimal impact and measurement across various products and service models

· Complete ad-hoc analysis across various platform applications and products

· Deliver key metrics, reports, and dashboards with insights to various stakeholders across multiple business units

· Build data flows and models for studies and reporting

· Establish strong working relationships with team members across business units and Wealth Management functions to support alignment of Wealth Management Strategic Initiatives

· Bachelor’s Degree in Science/Engineering/Mathematics or related field preferred along with 5 years of experience in a hands-on data and analytics role

· Strong proficiency in SQL, Python, Dataiku (preferred) and expertise in hands-on data analytics and deriving insights, with a high standard of analytical rigor

· Highly motivated / self-starter with a sense of ownership, willingness to learn, high degree of curiosity and desire to succeed

· Strong attention to detail and the ability to handle multiple tasks and projects concurrently

· Strong problem-solving skills creatively, with a strong sense of accountability

· Ability to work in a collaborative, transparent style with cross-functional stakeholders across the organization to lead and deliver results

Expected base pay rates for the role will be between 85,000 and 135,000 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.

Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. 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.

Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

Job: *Wealth Management

Title: MS@Work Analytics and Data Modeling, AVP (Analytics & Data)

Location: New York-New York

Requisition ID: 3253968

Other Locations: Americas-United States of America-New York-Purchase, Americas-United States of America-New Jersey-Jersey City