VP , P4, Lead Data & Analytics Eng : Job Level - Vice President
750 Seventh Ave- NY, United States
Full Time Senior-level / Expert USD 150K - 210K
Morgan Stanley
Discover how we help individuals, families, institutions and governments raise, manage and distribute the capital they need to achieve their goals.In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Lead Data & Analytics Engineering position at the Director level, which is part of the job family responsible for providing specialist data analysis and expertise that drive decision-making and business insights as well as crafting data pipelines, implementing data models, and optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI-based techniques.
Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.
Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on.
Institutional Securities Technology division delivers solutions for our ISG clients and, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Lead Data Analytics and Database and Python Developer position at Vice President level, which is part of the job family responsible for
We're seeking someone to join our Data Management Fleet as a lead developer in Institutional Equity Data Quality and Client Confidentiality initiatives in TEDRA to deliver large capabilities to satisfy IED business unit.
What you'll do in the role:
Communicate regularly with product leads across the technology and IED business organization and discuss opportunities for improvement to existing and future technology solutions.
Work with Electronic Trading Risk Management to develop data quality solutions on validating of client trading preferences are honored
Self-starter and deliver complex solutions that involve understanding of Cash Equity database schemas, data and business knowledge
Work with global team members to ensure the solutions are delivered based on client’s requirement
Become the point of contact for all North America and EMEA business users
Work on building and enhancing Data quality for TEDRA Business Analysis team
What you'll bring to the role:
Ability to effectively manage multiple functions or guide junior staff and initiatives.
Advanced understanding of business line and discipline with some knowledge of competitive environment and other disciplines.
Ability to work independently in the NY business users and represent the squad in this time zone
Have excellent data knowledge of cash equity data models and business models
Good database knowledge on DB2, Greenplum and Snowflake
Senior python developer working on complex solutions
At least 6 years' relevant experience would generally be expected to find the skills required for this role.
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.
Expected base pay rates for the role will be between $150,000 and $210,000 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.
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).
Tags: Data analysis Data Analytics Data management Data pipelines Data quality DB2 Engineering Machine Learning Pipelines Python Snowflake
Perks/benefits: Career development Competitive pay Equity / stock options
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.