Assistant Vice President, Data Analytics at Morgan Stanley

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

09 Mar, 26

Salary

0.0

Posted On

09 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Machine Learning, Cloud Technologies, SQL, Python, Data Strategy, Data Architecture, Database Design, Data Warehousing, Cross-Functional Collaboration, Data Insights, Predictive Analytics, Hadoop, Snowflake, AWS, Azure

Industry

Financial Services

Description

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

Responsibilities

Develop data-driven product strategies and design solutions for Wealth Management. Implement scalable data strategies and execute machine learning and cloud data platforms to drive business growth.