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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.
Qualifications
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
Equal Opportunity Employment
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.
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Automated Trading Risk Java Developer, Vice President, P4, Institutional Securities Technology

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