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The ideal candidate will possess strong leadership, communication, project management skills, and a thorough understanding of applied statistics theory - power user of SAS based statistics. Candidate must have significant hands-on experience managing large scale cross-product analyses with ability to influence people across all levels of the organization.
Developing a thorough understanding of the competitive landscape including industry trends, strengths, weaknesses, opportunities and threats to aid in identifying business opportunities that refine product positioning and target audience selection used in key strategy development. Provide analysis on Morgan Stanley's competitor's current capabilities and make recommendations on areas for competitive differentiation - by mining our share data
Provide regional analytics, such as those used to identify best customers to prospect and deepen relationships with
Baseline modeling to include next logical product model, financial advisor regional resource optimization, client/household segmentation, loss prevention,
Run ROI scenarios by establishing initial market sizing estimates, along with preliminary cost and time of entry estimates
Background in leading direct to consumer marketing programs specifically around the aspects of developing and implementing scoring algorithms which drive Decision Engine lead prioritization to Financial Advisors and Bankers
Ability to drive new model development through the model risk management approval process and implementation
Support new product development process using predicative analysis based on past performance, market trending and relevant research data points
Interact with a wide variety of business units within the Marketing group, Enterprise and outside vendor partnerships is required. In this role the Executive Director will manage components of market exploration and business case initiation, defining appropriate target audiences for strategies, building hypotheses and assumption to test in the marketplace, conducting in partnership research and analysis, developing initial financial projections, and potentially project charter & recommendations.
Position can located in New York, NY or Purchase, NY
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"
Power user of SQL, SAS Base/Stat/Macro, and other statistical software packages, with Enterprise Miner experience a plus
Solid data modeling experience is required with proven application in applying Decision Trees, Regression analysis, Neural Network and other data mining techniques, experience with time series and experimental design.
Proficient in the use of Machine Learning and AI techniques with demonstrated application that generated hard dollar revenue in both the areas of aided and unaided decisioning
Demonstrated ability to transform business needs into technology requirements that both the business and technology understand
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
15+ years of related work experience
Related financial services industry experience for at least 10 years is Required
Minimum of a Bachelor's degree is required with advanced business or applied mathematics degree required
Strong managerial skills with proven experience leading a team of Decision Scientist
MBA or PHD in applied statistics is required
Internal Number: 5612469
About Morgan Stanley USA
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