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E*TRADE from Morgan Stanley · 1 month ago

Assistant Vice President, Data Analytics

1 New York Plaza

Full-time

Hybrid

Mid Level

$137K/yr - $140K/yr

3+ years exp

Morgan Stanley Smith Barney LLC is seeking an Assistant Vice President, Data Analytics in New York, NY. The role involves serving as the product owner of specific data products, developing data-driven product strategies, and partnering with stakeholders to enhance wealth management solutions through data experimentation and machine learning platforms.

BankingFinanceFinancial Services

H1B Sponsor Likely

Responsibilities

Serve as the product owner of specific data products and data stores

Develop data-driven product strategy based on an understanding of the data sources and Wealth Management business requirements

Partner with other business stakeholders and SMEs to understand business and client needs

Perform detailed hands-on data experimentations and evaluations for wealth management use cases using customer data to define, design, and test data products/features/stores

Design suitable solutions and formulate tech architecture and requirements for Wealth Management product and solutions

Implement and improve scalable data strategies and products across marketing, sales, servicing, and advisory

Develop and execute the machine learning (ML) and cloud data platforms strategy to deliver use cases to drive profitable growth for the business

Qualification

Data AnalyticsMachine LearningCloud TechnologiesSQLPythonData ArchitectureData ModelingData WarehousingHadoopSnowflakeUser-focused SolutionsStakeholder EngagementCross-functional Collaboration

Required

Requires a Master's degree in Engineering (any), Analytics, Business Analytics, or related field plus three (3) years of experience in the position offered or three (3) years of experience as a Junior Associate, Analyst, Business Intelligence, or related occupation

Requires three (3) years of experience with: partnering with cross-functional teams to identify business problems in the financial industry; experimenting and evaluating data products, features, and stores; extracting insights and identifying patterns from large and complex data sets to develop data-driven strategies and products; designing, curating, and wrangling data in database/data lake solutions such as Hadoop or Snowflake; programming using SQL and Python for data analytics, data science, or machine learning; developing strategic plans for data-driven initiatives that deliver profitable growth for the business; serving as a product owner and leading development to design; building and improving scalable data products, services, and capabilities; working closely with stakeholders to identify customer needs and developing user-focused solutions; applying data architecture principles and performing data modeling, database design, and data warehousing; building and deploying machine learning powered solutions to analyze data, identify trends, and develop predictive insights; utilizing cloud-based technologies and platforms such as AWS or Azure; designing and deploying cloud-based solutions to support data-driven products and services; and analyzing and dealing with customer confidential data

Benefits

Some of the most attractive and comprehensive employee benefits and perks in the industry

Company

E*TRADE from Morgan Stanley

E*TRADE from Morgan Stanley is a pioneer in the online brokerage industry.

Founded in 1982

Arlington, Virginia, USA

1001-5000 employees

https://us.etrade.com/home

H1B Sponsorship

E*TRADE from Morgan Stanley has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

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Trends of Total Sponsorships

2020 (3)