We’re seeking someone to join our team as a Data & Analytics Engineer to work as an integral part of AI & Data Tech (AIDT). The Sandbox team is tasked with providing a high performance, highly reliability analytics and data integration platform, leveraging the latest technologies in public cloud (Snowflake, DataBricks) and advanced analytics to a wide variety of users and use cases.

AI and Data Technology (AIDT) is a horizontal, dynamic and fast-paced area within the Firm's WM Technology Division.

In the last five years, the acquisitions of Solium and E*Trade, coupled with the digitization of Morgan Stanley Wealth Management, has resulted in exponential growth of our data and our business. Our investments in data & analytics and core business capabilities have allowed us to better understand our clients and continuously evolve our products to meet their needs. But our award-winning solutions are just the beginning. The opportunities ahead are unprecedented for our industry.

AIDT is a team of data scientists, solutions architects, business analysts, developers, security engineers and QA specialists, applying cutting-edge technology to enable data-driven initiatives across Wealth Management. We are transforming the way our business, financial advisors and clients use data to make smarter decisions-creating new capabilities that differentiate us on the Street.

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 Data & Analytics Engineer position at Associate 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.

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

What you'll do in the role:

• Participate in designing and developing Cloud solutions and participate in migration efforts from legacy technologies

• Participate in end-to-end project delivery from inception to post-implementation support

• Analysis of existing designs and interfaces and applying modifications or enhancements.

• Providing insights and resolution for ad-hoc issues raised by Sandbox users

• Testing software components and complete solutions (including debugging and troubleshooting) and preparing migration documentation.

• Providing reporting-line transparency through periodic updates on project or task status.

• Perform the root cause analysis of issues and be able to help to design solution as required with partner teams to solve them.

• Provide support to issue resolution as needed – which may happen in late hours

• Participate in Friday/Weekend releases

What you'll bring to the role:

• At least Bachelor's Degree in Engineering, preferably Computer Science/Engineering

• Minimum of 2-3 Years of working experience, preferably as data engineer

• Good understanding of RDBMS and data warehousing concepts

• Strong SQL skills preferably with data integration, ETL, ELT focus.

• Working python knowledge and ability to do data manipulation or deliver simple tools

• Ability to do the technical analysis and implementation of Data solutions

• UNIX Shell scripting experience to support data warehousing solutions

Nice to have:

• Deep Snowflake and/or DataBricks knowledge is a big plus

• Experience in Data Analytics tools preferably with DataIKU, Tableau, Altreryx or such self service solution.

• Experience in optimizing very large data loads.

• Experience with detailed Error/Exception handling and Data Validation issues.

• Experience in taking part in architecting ETL solutions and data conversion strategies

• Experience in Agile methodology

• Experience in Developing, managing, and maintaining data dictionary and or metadata.

Personality:

• Ability to gather user requirements, interface with business partners as required.

• Process oriented, focused on standardization, streamlining, and implementation of best practices.

• Excellent problem solving and analytical skills.

• Excellent verbal and written communication skills.

• Ability to work in multi-site/multi-geography organizations.

• Ability to multi-task and function efficiently in a fast-paced environment.

• Self-starter with flexibility and adaptability in a dynamic work environment who is a good team player.

• Participate in team accountability: deliverables, discipline, consistency

#LI-hybrid #LI-FT1 #BPTECH

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.

Certified Persons Regulatory Requirements:
If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.

Flexible work statement
Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.