Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. We advise, originate, trade, manage and distribute capital for governments, institutions and individuals. As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. We provide you a superior foundation for building a professional career where you can learn, achieve and grow.
Position Description:
Morgan Stanley is seeking an experienced algorithmic trading Java developer to support the Quantitative Investment Strategies (QIS) 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 with excellent communication skills 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:
Excellent in core Java knowledge in a UNIX/Linux environment.
At least 7 years of practical experience 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 low-latency messaging middleware pub/sub technologies.
Ability to analyse business & technical requirements and translate them into a well designed & programmed solution
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
Experience of time-series data analysis in technologies such as KDB/q
Experience with web service development, REST, TypeScript knowledge with preferably Angular framework
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.
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.
