This job has expired, please see additional jobs below
Vice President – Advanced Decision Sciences Model Risk Management
Morgan Stanley
Purchase, NY, United States
Job Details - this job has expired, please see similar jobs below
Description
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 serve as a liaison with the Morgan Stanley Wealth Management Model Risk Management team to coordinate and deliver the required inventory management and documentation. Manage an advanced analytic/predictive modeling risk management process to support MRM which guides the mining of Morgan Stanley’s book of business to identify new or existing customer opportunities.
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.
Principal Responsibilities
• Serve as the key liaison with the MRM validation team to set validation
engagements, timelines and deliverables to facilitate the independent
validation of the models produced by the Decision Sciences team.
• Develop the required model risk management documentation to outline and
detail the end to end advanced analytic/predictive modeling process and
specific project results
• Develop and apply model management, monitoring and measurement tools
and approaches from a central production platform.
Position can sit in NYC or Purchase, NY
Qualifications
• Work effectively in cross-functional teams, having demonstrated strong
partnerships with both internal and external business partners and alliances
• Strong understanding of model risk management requirements from financial
services regulatory agencies such as the OCC, the SEC and FINRA.
• 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 Networks, Clustering and other
data mining techniques, experience with time series, experimental design and
attribution rules
• 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
• Strong deterministic analytic leadership experience with limited day-to-day
direction required by manager