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, to achieve and prosper.
This position is within the Decision Sciences' team. The goal of that group is to help the organization make fact based and scientifically developed decisions around risk and opportunities, which help drive top and bottom line growth. The incumbent is expected to serve as a liaison with the Morgan Stanley Wealth Management Corporate Equity Solutions group to deliver on growth opportunity to employees of corporations we service. The overall goal and vision of Corporate Solutions is to create a corporate experience and a consistent corporate employee experience and to engage them throughout their financial life journey that will ultimately lead to a furthering and deepening of their Morgan Stanley Wealth Management relationships.
The ideal candidate will possess strong leadership, communication, collaboration and organization and project management skills, a thorough understanding of applied statistics theory, as well as have a strong command of advanced analytic data mining/machine learning/optimization software packages including Python, SAS and SQL. Candidate must have significant hands-on experience managing and applying an advanced analytics/predictive modeling process to produce best in class predictive models, and behavioral segmentation.
Develop and implement a method to measure the end to end efficacy for the employee prospecting conversion programs
Identify the broad tactics that work and don't work and which sub segments of the corporate employee population these tactics best work for
Provide guidance, direction, and oversight on program test design including the build out of control groups and measurement plan for each type of program being deployed
Serve as the key liaison with the Corporate Solutions team to set validation engagements, timelines and deliverables to facilitate the independent validation of their programs
Work effectively in cross-functional teams, having demonstrated strong partnerships with both internal and external business partners and alliances
Demonstrated ability to collect and organize data, work effectively with complex relational databases, conduct analysis and report on and apply results to "actionable insights / recommendations"
Solid data modeling experience is required with proven application in applying Decision Trees, Regression analysis, Neural Networks, Clustering and other data mining techniques, experience with time series, experimental design and attribution rules
Power user of SQL, SAS Base/Stat/Macro, R, Python and other statistical software packages, with Enterprise Miner experience a plus
Strong written communication skills with proven ability to explain complex statistical theory and methods as well as outline applied business solutions
Self-starter with strong and creative problem-solving skills
Need to be able to succinctly communicate ideas, recommendations orally and in writing to a wide range of audiences, as well as exceptional listening and presentation skills
10+ years of financial services related work experience
Related financial services industry experience for at least 5 years is Required
Minimum of a Bachelor's degree is required with advanced business or applied mathematics degree required
MBA, Master of Science or PHD in applied science discipline is preferred
Strong deterministic analytic leadership experience with limited day-to-day direction required by manager
Internal Number: 5780856
About Morgan Stanley USA
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