Vice President – Advanced Analytics Decision Sciences

  • Competitive
  • New York, NY, USA
  • Permanent, Full time
  • Morgan Stanley USA
  • 16 Oct 18

Vice President – Advanced Analytics Decision Sciences

Morgan Stanley Wealth Management provides comprehensive brokerage, investment and financial services to individual investors globally. Recognized as one of the largest retail brokerage networks in the U.S., Morgan Stanley's financial representatives cover multiple client segments from affluent to ultra- high net worth. The product range offered to client's spans mutual funds, equities, fixed income products, alternative investments, separately managed accounts, banking & personal lending, mortgages, insurance and annuities.

The Decision Sciences team goal 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 mine Morgan Stanley's book of business to identify new or existing customer opportunities.

The ideal candidate will possess strong leadership, communication, collaboration and project management skills, a thorough understanding of applied statistics theory as well as have a strong command of Python, SQL and also SAS- especially the statistics and optimization packages. Candidate must have significant hands-on experience managing large scale cross-product advanced analytics projects with ability to influence people across all levels of the organization.

Principal Responsibilities

• Develop applied advanced analytic solutions/predictive modeling and
optimization to drive bottom line transaction, revenue, new account and
retention growth through customer, prospect and advisor behavioral analytics.
• Develop customer segmentation/statistical clustering based solutions using
internal behavioral, financial performance and demographic, credit bureau
and financial holdings externally purchased data
• Support the development of customer engagement, cross sell and new
customer acquisition strategies, programs and digital capabilities using
contextual insights from applied advanced analytics and predictive modeling
• Develop and collaborate to build artificial intelligence /machine learning-based
next best action recommendation systems for Financial Advisors and digital
campaign targeting using predictive analytics
• Develop and provide modeling/scoring and advanced analytic effectiveness
reporting, measurement and testing strategies /design of experiment
approaches and attribution rules
• Run business case capstone/ROI scenarios by establishing initial opportunity
sizing estimates, along with preliminary cost and time estimates
• Integrate/interpret primary research data to inform advanced analytic analyses
and solutions including predictive modeling
• 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. In this role the Vice President 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.


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 (Hadoop, Teradata), conduct analysis and report
on and apply results to "actionable insights/recommendations"
• Power user of Python, SQL, SAS Base/Stat/Macro and other statistical
software packages (R) with Enterprise Miner experience a plus
• Strong predictive 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
• 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
• 10+ years of financial services related work experience
• Related financial services industry experience for at least 5 years is required
• 5+ years of direct or cross functional management requirement
• 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
• Strong deterministic analytic leadership experience with limited day-to-day
direction required by manager