We’re seeking someone to join our team as a KDB Developer.

TEDRA (Trade Enrichment Data Reporting & Allocations) is part of the Institutional Securities Technology (IST) Division. It is responsible for maintaining, distributing, and reporting on trading, revenue, risk, and reference data (client, product, and pricing). As the authoritative source of key data sets, we are at the forefront of database technology and are heavily involved in data engineering, data science, data visualization, and machine learning efforts across the Firm. TEDRA is also responsible for front and middle office post-execution applications that facilitate straight-through processing for multiple asset classes. This infrastructure is critical for electronic trading, high frequency trading in particular.

We are looking for a KDB developer to support & develop multi terabyte, massively distributed orders and executions platform for equities, rates and fx globally. The system includes a mix of classic KDB technology with new distributed data engineering state of the art systems, e.g. Kafka, Snowflake etc. We are a diverse data expert group specializing in a variety of big data technologies. While KDB is a major part of our offering, we aim to architect best of breed solutions using a best tool for the job approach. The platform serves many businesses and scales to billions of daily orders. The ideal candidate would be capable of navigating KDB and other data processing technologies.

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:

• Develop current kdb+ based infrastructure to ensure support for queries from native Q and other languages (including Java, C#, Python) and enhance the architecture to support a low latency, fast ingestion, highly available database.

• Develop tools for data acquisition/loading, data quality, and production support covering a broad range of asset classes, data types, and frequencies that meet current and future trading, analytic, and operational needs.

• Develop modularized, micro service based components.

What you'll bring to the role:

• Strong KDB+ knowledge.

• Scripting knowledge (Python).

• Basic knowledge of Unix/Linux operating systems.

• Excellent communication skills.

• Data modeling concepts.

• Version control, preferably with GIT.

• Knowledge of ETL products such as Informatica.

• Replication.

• Agile practices.

• Experience working in geographically dispersed teams.

• Integrity & ownership, good team player, high degree of motivation to expand technical and business knowledge.

• Bachelor's degree.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 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 opportunity employer committed to building and maintaining a workforce that is diverse in experience and background.  Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.