Data/AI Engineer_Associate_Data & Analytics Engineering

Profile Description

We’re seeking someone to join our team as (Associate) Data /AI Engineer will be responsible for the development, maintenance and support of the infrastructure required to track cloud adoption across the firm.

Enterprise_Technology

Enterprise Technology & Services (ETS) delivers shared technology services for Morgan Stanley supporting all business applications and end users. ETS provides capabilities for all stages of Morgan Stanley’s software development lifecycle, enabling productive coding, functional and integration testing, application releases, and ongoing monitoring and support for over 3,000 production applications. ETS also delivers all workplace technologies (desktop, mobile, voice, video, productivity, intranet/internet) in integrated configurations that boost the personal productivity of employees. Application and end user functions are delivered on a scalable, secure, and reliable infrastructure composed of seamlessly integrated datacenter, network, compute, cloud, storage, and database functions.

Enterprise Computing (EC)

Enterprise Computing is a department of Core Infrastructure that provides a collection of products and services that make up the Morgan Stanley core compute infrastructure, hosting platforms and supporting application services. Solutions are delivered across the infrastructure stack from foundational hardware platforms, storage, server operating systems and virtualization up through the hosting of common web, database, middleware and reporting services.

Data & Analytics Engineering

This is Associate position that provides specialist data analysis and expertise that drive decision-making and business insights as well as crafting data pipelines, implementing data models, 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.

At Morgan Stanley India, we support the Firm’s global businesses, with critical presence across Institutional Securities, Wealth Management, and Investment management, as well as in the Firm’s infrastructure functions of Technology, Operations, Finance, Risk Management, Legal and Corporate & Enterprise Services. Morgan Stanley has been rooted in India since 1993, with campuses in both Mumbai and Bengaluru. We empower our multi-faceted and talented teams to advance their careers and make a global impact on the business. For those who show passion and grit in their work, there’s ample opportunity to move across the businesses for those who show passion and grit in their work.

Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on…

What You’ll Do In The Role

• The vision for Cloud Business Intelligence (Cloud BI) is to create and support a platform with near real time access to information required to make effective business decisions in alignment with Firm's Cloud Strategy and Application Modernization Objective.
• The Cloud BI platform will adhere to the principles of user driven incremental delivery, authoritative source, data driven integration and flexible infrastructure that can adapt to market trends.
• The Cloud BI Squad drives and facilitates the adoption of cloud services to align with the Morgan Stanley cloud strategy. We are an inclusive and supportive team with excellent exposure to cloud adoption across the firm.
• The Cloud BI team owns the infrastructure responsible for defining application patterns, capturing architecture decisions and the business intelligence system used for cloud migration tracking. In this role, you will be responsible for the development, maintenance and support of the infrastructure required to track cloud adoption across the firm.
• Responsible for capturing and displaying cloud metrics and providing insight to cloud capabilities, portfolio and migration progress.
• Development will be distributed between on prem and cloud, integrating diverse data sources and supplying the data to stakeholders in the required format.
  
  

What You’ll Bring To The Role

• At least 4 years’ relevant experience would generally be expected to find the skills required for this role
• The ideal candidate will have experience with databases, API, integration and data loading, be comfortable data modelling across structured, unstructured and timeseries stores, integrating incomplete data sets with subjective data, aggregating and communicating information and incorporating client feedback.
• Development experience (e.g. Python, ETL Tooling, Swagger)
• Basic understanding of AI and machine learning concepts
• Business Intelligence or data analytics experience (e.g. PowerBI)
• Database experience (e.g. Structured, Unstructured, Column e.g. Snowflake)
• Build Management, Deployment & Technology Change Management experience
• Data Operations and Production Management experience
• Metrics and data analytics experience (KPIs, metrics, predictive analytics)
• Experience with Agile development methodology and CI/CD
• Experience with tools such as GIT, Jira and Bitbucket
• Cloud development experience (e.g. Azure Data Factory, Databricks, Azure Functions, AWS Lambda)
  
  

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 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.