Automated Trading Risk Java Developer, Vice President, P4, Institutional Securities Technology
Morgan Stanley is seeking an experienced Algorithmic Trading Java developer to join our Automated Risk Trading (ART) team in Hong Kong, which builds data- and model-driven global e-trading systems to automate trading, hedging, and market-making for Morgan Stanley Institutional Equity Division. You will work closely with the DeltaOne trading desk for the build out of a Java-based systematic principal trading strategies platform which aims to optimize internal risk/inventory via trading in major Asia listed markets. You will work the full application lifecycle in a fast-paced front-office development environment. This is a hands-on role in a global team doing continuous delivery across many global markets, so you will also work closely with global colleagues. The role requires strong ownership in driving large-scale initiatives end-to-end and delivering impactful solutions to the trading business.
Qualification
- Expert-level core Java knowledge in a UNIX/Linux environment
- Experience with Java/GC/Linux OS level debugging/performance tuning
- Track record working in front-office environment with trading and quantitative strategists
- Experience developing system for automated market making, DMA or algo trading group in liquid markets (equities, FX, liquid rates, etc.)
- Experience in building FIX protocol-based systems.
- Good knowledge of SQL based DB system, such as Sybase/DB2/KDB
- Good knowledge of scripting language such as shell/Python/q
- Experience using AI-assisted development tools (e.g. code generation, code completion, automated testing or debugging tools) to improve productivity and code quality
- Familiarity with applying automation and AI techniques in software development workflows, including code optimization, analysis, or operational tooling, is advantageous
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.
Skills Required
- Expert-level core Java knowledge in a UNIX/Linux environment
- Experience with Java/GC/Linux OS level debugging/performance tuning
- Track record working in front-office environment with trading and quantitative strategists
- Experience developing system for automated market making, DMA or algo trading group in liquid markets
- Experience in building FIX protocol-based systems
- Good knowledge of SQL based DB system, such as Sybase/DB2/KDB
- Good knowledge of scripting language such as shell/Python/q
- Experience using AI-assisted development tools
- Familiarity with applying automation and AI techniques in software development workflows
Morgan Stanley Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Morgan Stanley and has not been reviewed or approved by Morgan Stanley.
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Parental & Family Support — Family support is extensive, with paid parental leave for all parents, adoption and fertility assistance, backup childcare, and eldercare resources. Feedback suggests these programs meaningfully enhance the overall package and help with retention.
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Healthcare Strength — Health coverage spans medical, dental, vision, mental‑health access, care navigation, and expert second opinions. Convenient primary care access and condition‑specific support reinforce the depth of healthcare coverage.
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Equity Value & Accessibility — Equity compensation and stock ownership are positioned as core motivators that encourage commitment and retention. Feedback suggests education and support are provided to help participants manage equity and related financial benefits.
Morgan Stanley Insights
What We Do
Morgan Stanley mobilizes capital to help governments, corporations, institutions and individuals around the world achieve their financial goals. For over 85 years, the firm’s reputation for using innovative thinking to solve complex problems has been well earned and rarely matched. A consistent industry leader throughout decades of dramatic change in modern finance, Morgan Stanley will continue to break new ground in advising, serving and providing new opportunities for its clients. Morgan Stanley is committed to maintaining the first-class service and high standard of excellence that have always defined the firm. At its 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 its more than 60,000 employees in 1,200 offices across 41 countries.
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