Since our founding in 1935, Morgan Stanley has consistently
delivered first-class business in a first-class way. Underpinning
all that we do are five core values.
Everything we do at Morgan Stanley is guided by our five core
values: Do the right thing, put clients first, lead with
exceptional ideas, commit to diversity and inclusion, and give
Transformation builds connections and capabilities that keep
Morgan Stanley thriving, giving us the agility and stability to
perform in all market conditions. Together with our partners across
the business, we advance our offering ahead of client need. We
limit our exposure to risk and nimbly build new efficiencies. We
create capabilities that protect our business from competitive
threats. We encourage innovation and experimentation to uncover new
opportunities. And we continually look to new ways of working that
create a better experience for our people and clients.
In this Associate level position, you will be building Data
Governance solutions for Data Analytics use cases across the firm.
It is a unique opportunity to work with stakeholders from different
business units, learn their data journey and help with their
governance needs. Given the fast growing & dynamic nature of this
area, the candidate will need to be a quick learner, open to
adapting new technologies and be able to switch context quickly to
cater to competing priorities.
This role will be of a full-stack developer with focus on
backend development. Java will be the primary coding language, but
services of the data governance framework will require existing or
acquired elementary knowledge of Python, Unix and Shell Script. You
are expected to be able to take ownership of the entire build
process from requirement analysis, designing solutions to
implementing & deploying them.
The candidate will be placed in a global team setting working
directly with colleagues in different regions and following agile
practices. Strong and prompt communication skills will be required
in this job role to successfully liaise within the team and with
business and IT stakeholders.
The Data Center of Excellence (CoE) supports timely, accurate
and efficient critical data flows, business line innovation, and
finding new ways to profit from our data. The following three
pillars drive this objective:
Front-to-Back Ecosystems: Enable senior business ownership of
data, processes, architecture, and technology by product in each
Data Accessibility: Develop a central data infrastructure and
tooling to support common data sourcing, accountability and
Data Framework: Define key strategic data principles to guide
all data activities including Data Policy
Develop tools and shared services for Data Analytics governance
framework. Enhance & maintain existing parts of this framework. Use
Java for most backend services and Python in some supporting
Use Collibra, in-house installation of the vendor platform, to
model governance and business assets.
Create workflows to automate governance flows like onboarding &
provisioning of datasets.
Liaise with stakeholders to answer their queries and provide
guidance on the usage of governance tooling.
Work in an agile squad spread across different regions.
Actively participate in code reviews, follow best coding
practices of the team & contribute in their improvement.
Work with IT counterparts from other departments in designing,
building and validating system integrations
Bachelor's degree in Computer Science, Software Engineering,
Information Technology, or related field required.
2 years of technology experience required in Java. Financial or
data industry preferred.
Java is a must. Python experience is strongly preferred.
UNIX knowledge is a must. Autosys & shell script are a plus but
Experience with data governance & modeling platforms is a plus
but not required.
Strong collaboration and communication skills - both written and
verbal are a must.
Experience with JIRA and agile practices is required.
Experience with working in a global team across regions is
Must be adaptable and able to shift gears based on business
demands and competing priorities.