Data Engineer, Director P4, Institutional Securities Technology

Technology at Morgan Stanley

Technology is the key differentiator that ensures that we manage our global businesses and serve clients on a market-leading platform that is resilient, safe, efficient, smart, fast and flexible. Technology redefines how we do business in global, complex, and dynamic financial markets. We have a large number of award-winning technology platforms that help to propel our Firm's businesses to be the top in the market. We have built strong techno-functional teams which partner with our offices globally taking global ownership of systems and products. We have a vibrant and diverse mix of technologists working on different technologies and functional domains. There is a large focus on innovation, inclusion, giving back to the community and sharing knowledge.

What will you be doing?

A Data Analytics and Platform team within the Institutional Securities Technology division is seeking a collaborative, hands-on developer to build best-in-class solutions for Data APIs, Data Governance, Data Quality, Security & Privacy, and Architecture. This role offers a unique opportunity to work in a state-of-the-art modern data stack using open-source technologies aligned with our cloud strategy. We are looking for a proficient developer who is excited about innovation, with a proven track record of delivery.

Roles and responsibilities include:

• You will work closely with quants and traders across multiple trading desks to design, develop, deploy, and support the innovative data science environment.
• Design widely used and flexible APIs to our core data and functionality.
• Analyze and optimize performance of large data workloads using compute clusters.
• Develop and optimize data architectures to support real-time and batch processing.
• Stay up to date with emerging trends and tools in the data & analytics domain.
• Provide support and design advice to users of the cross-asset platform.
• Work closely with strategists and other stakeholders to help move their financial assets, valuation models and data pipelines to the platform.
• Efficient Communication across regions and functions.

What we're looking for: We have a number of roles available for a range of technologists at different experience levels to join the team who will need:

• Extensive experience in delivering complex IT projects, demonstrating a deep understanding of project intricacies and challenges. With experience in providing level 2 support.
• Profound knowledge of software development life cycle (SDLC) best practices, including containerization and CI/CD workflows.
• Proven track record of developing high-quality, scalable, and maintainable Python applications in a senior-level capacity (micro-service architecture, APIs, n-Tiers architectures, authentication protocols etc.).
• Familiarity with retrieval-augmented generation (RAG), prompt engineering, or vector search is highly desirable.
• Excellent problem solving and code development skills.
• Ability and interest to research, learn and implement new Data and Analytics technologies and paradigms.
• Strong oral and written communication skills.
• Strong team working ability in local and global teams.
• Passion for continuous improvement both personally and as a team.

Skills that will help you in the role:

• Established experience with Python and Python ecosystem.
• Experience with performance optimization, concurrent programming and microservices design.
• Good knowledge of data processing libraries and stacks (Polars, Pandas, Numpy, Dask, Spark), SQL/NoSQL (Mongo).
• Knowledge of ETL and streaming pub/sub platforms (Kafka)
• Knowledge of SDLC management tools (Git, Jenkins, Github, docker, Kubernetes, Autosys), apps observability libraries (OpenTelemetry) and monitoring tools (Grafana, Loki, Tempo, Prometheus).
• Exposure to grid distributed applications (optional).
• Exposure to KDB or other timeseries database technologies (optional).
• Exposure to Cloud technologies (optional).
• Exposure to Risk Management systems and a wide range of Financial Instruments (optional).
• Experience supporting or deploying ML models in production adds significant value.
• Exposure to generative AI technologies (e.g., LLMs, embeddings, vector databases) is a strong advantage.
• At least 3 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 85 years. At our foundation are five core values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - that guide our more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find trusted colleagues, committed mentors and a culture that values diverse perspectives, individual intellect and cross-collaboration. We Firm is differentiated by the caliber of our diverse team. While our company culture and commitment to inclusion define our legacy and shape our future, helping to strengthen our business and bring value to clients around the world. Learn more about how we put this commitment to action: morganstanley.com/diversity. 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.

We're committed to bringing passion and customer focus to the business.

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.

Equal opportunities statement:

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.

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.

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.