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Head of Advanced Decision Sciences, Executive Director
Morgan Stanley
New York, NY, United States
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Description
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.
Principal Responsibilities
• 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
Qualifications
Required Competencies
• 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