Delta1 Strats - Java Developer, Manager, Institutional Equity Division

Position Description:

Morgan Stanley is seeking an experienced algorithmic trading Java developer to support the Delta One Central Risk Book business. The candidate should possess good analytical skills & computer programming experience, a logical approach to problem solving. The role involves building, deploying & supporting algorithmic trading strategies, analytical tools and scalable trading engine infrastructure, working as part of a fast-moving IT / quant / trading team. The candidate should be a problem solver, and be able to bring with them positivity and enthusiasm in trying to think about and offer potential solutions for architectural considerations with a can-do attitude.

Responsibilities:

· You will be using core Java development to build and enhance trading strategies and engines

· The role involves working directly with the global trading, quant and IT teams to advance the platform and the businesses it serves

· The project portfolio is typically varied, spanning new and existing algorithm development, improving the technical and execution performance of trading systems, the generation and analysis of trading signals & data

· You will part of a team which is involved in the full system development lifecycle from discussing and agreeing requirements through to designing, developing and deploying the changes

· The systems you will work on are high volume, low latency, resilient, scalable and message-driven based on cutting edge Java and utilising the latest hardware

Skills Required:

· Core Java knowledge in a UNIX/Linux environment.

· Ability to analyse business & technical requirements and translate them into a well designed & programmed solution

· A logical approach to problem solving and good analytical skills

· Strong communication skills and ability to work in a global team

· Experience with Git/Stash and Jenkins

· Experience with unit testing frameworks such as JUnit

· An interest to learn the business supported by the applications

· Good Linux fundamentals

QUALIFICATIONS

Skills Desired:

· Interest in developing systems for automated market making, DMA or algo trading group in liquid markets (equities, FX, liquid rates, etc.) using FIX protocol

· Experience with web service development, REST, TypeScript knowledge with preferably Angular framework

· Experience with low-latency messaging middleware pub/sub technologies.

· Experience of time-series data analysis in technologies such as KDB/q

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.

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.