Scott Morgan

New position with Symphony’s parent company, Nuveen Investments. Founding member of the Nuveen Client Data Science Team, charged with building the ML capabilities for sales, marketing and client services.

• Hired and trained a team of data scientists located around the world (San Francisco, CA | Chicago, IL | Pune, India)
• Quickly established a pattern of success:

- Provided 50k predictive leads in support of the sales team raising +$1.2 billion across 2 closed end fund IPOs; targets contacted from our random forest model were 6X more likely to purchase vs a random target

- Delivered +19 sales campaigns targeting ~60k advisors

- Launched 3 pilots testing efficacy of various models (cross-sell, churn, upsell); one early-stage natural language processing (NLP) proof of concept which identified clients in need of white-glove servicing due a recent negative experience

• Solved the ‘Last Mile’ for one of the largest mutual fund companies in the world:

- Architected and led the production deployment of Nuveen’s first fully automated batch scoring machine learning pipeline, dubbed ‘Predictive Tasks’

§ +15,000 Predictive Tasks provided since October 2021, +90% acted upon

§ Statistically significant improvement in connect rates and net sales

- Spearheaded migration of Predictive Tasks workflow from on-prem bespoke architecture to the cloud-based AWS SageMaker in collaboration with AWS Professional Services and internal partners

• Realized business value through deployment of first AWS SageMaker model:

- Responsible for model creation and delivery of 1,250 recommendations aimed at upselling clients into higher revenue producing strategies (private real estate, hedge funds, etc.)

§ Two stage predictive model (classification and then numerical regression) to forecast business impact and prioritize next best action

§ Reduced model lifecycle from 12 to 3 months

§ Potential inflows +$1 million over the next 12-24 months according to initial predictions

Responsible for setting and implementing the analytical vision of Symphony’s Global Distribution and Investor Relations team. Took lead on developing framework for effective data management, client reporting and actionable analysis in addition to introducing new automated solutions and related technologies to reduce operational risk. Promoted from Senior Analytics Associate position.

• Collaborated across the enterprise to identify areas of risk and introduce formal centralized source control
• Stayed abreast on industry trends and cutting-edge technology to assist parent company in the development of its future-state data management platform

Designed and developed detailed business intelligence solutions, including data modeling, ETL, data warehouse, and front-end interfaces. Delivered support on maximizing data use and insight to business users across the company. Promoted from Analytics Associate position.

• Developed model portfolios in collaboration with portfolio managers for new product launches; namely the Nuveen Credit Opportunities 2022 Target Term Fund (Ticker: JCO) which raised +$500 million in IPO capital
• Streamlined workflow for wide spectrum of professionals (Sales, Customer Relationship Management, Investment):
• Capital Markets Snapshot

- RStudio (Rblpapi, RODBC, RODBCext, sqldf, dplyr, lubridate)

• Drove adoption of dashboard driven solutions across the fixed income portfolio managers and sales professionals

• Drove collection, cleansing, enrichment and analysis of data to support investment and business decisions—prepare and deliver reports and presentations for technical and non-technical audiences
• Promoted from Client Service Associate position
• Delivered analytics that supported high-dollar business wins; managed all aspects of analytics presented to prospective global institutional clients:
• Japanese clients - $50M
• European clients - $600M
• Played key role in wins with retail channel that include wire houses, family offices and independent wealth advisors:
• Developed dashboard in the Fall of 2016, used in ‘sales blitz’ to target advisors that raised $440M from September to December 2016
• Drove several business intelligence-focused projects:
• Sales Analytics: Developed end-to-end automated business intelligence solution that provides retail sales team with unprecedented detail
• Used SSIS, SSRS, Visual Studio, SQL Management Studio, Active Batch, and QlikSense
• Compliance Analytics (for Chief Compliance Officer): Developed reporting suite that provided compliance team with data to ensure equitable allocation of best ideas across client portfolios
• Used SQL Management Studio, SSRS, and Visual Studio
• Ad hoc (for CEO/CIO): Built model, using multiple regression analysis, to support insights into which market environments are optimal for company products
• Used Excel and Python (pandas, scipy, numpy, sklearn)

• Delivered detailed competitive analysis to support positioning strategies with clients, consultant, and prospects
• Contributed to client calls via direct interactions with flagship accounts ($1B+ in assets) that addressed key strategies and issues such as concentrated portfolio positioning and competitive information
• Supported 15% net increase in clients for small client service team through delivery of analytical reporting and ad hoc analysis
• Created multiple high-profile model portfolios for prospective clients representing $300M in new assets

Prepared earnings releases, conference call scripts and delivered reports on client stock price performance, equity valuation, and competitive analysis for Board of Directors

• Worked closely with C-suites to increase research coverage of client companies by well-known sell-side institutions by an average of +150% versus +10% for peers

• Conducted due diligence on fund managers and their respective strategy philosophy, portfolio characteristics and performance attribution to assess suitability for inclusion in high net worth client accounts; on boarded Thomson Portfolio Analytics