Data Engineer
Morgan Stanley
We’re seeking someone to join our Trade Surveillance team as a Data Engineer in Cyber Data Risk & Resilience.
The Trade Surveillance team builds and executes complex surveillance models that focus on monitoring the trading practices of the Firm's front office functions. You will be developing tooling required for the execution of big data processing and data analytics pipelines to support Analytics for Trade Surveillance to aid in the identification of market abuse.
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 Engineer position at Director level, which is part of the job family responsible for developing and maintaining software solutions that support business needs.
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:
Encouraging and building automated processes wherever possible
Python and shell programming in the context of DevOps automation
Testing and debugging applications
Developing back-end components
What you'll bring to the role:
3+ years Python experience
Knowledge on Hadoop Technologies, specifically Spark
Linux Shell Scripting
Database/SQL - preferably Postgres or DB2
Unit Testing, Integration Testing
Gradle
Build and release automation, CI/CD tools such as Jenkins, open stack, and Azure DevOps
Artificial Intelligence/Machine Learning
Nice to have:
Python virtual environments
Airflow or other scheduling technologies
Scala/Java
Jupyter Notebooks
Azure/AWS
Snowflake
MLOps
GenerativeAI experience
Databricks
#LI-RV1 #BPTECH #LI-hybrid
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.