What are the responsibilities and job description for the Assistant Vice President, Data Analytics position at Morgan Stanley?
Morgan Stanley Smith Barney LLC seeks to fill the position of Assistant Vice President, Data Analytics in New York, NY.
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. Telecommuting permitted up to 2 days per week.
Salary
Expected base pay rates for the role will be between $137000 and $140000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
Requirements
Requires a Master's degree in Engineering (any), Analytics, Business Analytics, or relate 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 store; 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 datadriven
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.
Qualified Applicants: To apply, visit us at https://morganstanley.eightfold.ai/careers?source=mscom and enter JR000512 in the search field. No calls please. EOE
What You Can Expect From Morgan Stanley
We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.
It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.
Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).
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. Telecommuting permitted up to 2 days per week.
Salary
Expected base pay rates for the role will be between $137000 and $140000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
Requirements
Requires a Master's degree in Engineering (any), Analytics, Business Analytics, or relate 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 store; 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 datadriven
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.
Qualified Applicants: To apply, visit us at https://morganstanley.eightfold.ai/careers?source=mscom and enter JR000512 in the search field. No calls please. EOE
What You Can Expect From Morgan Stanley
We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.
It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.
Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).
Salary : $137,000 - $140,000