Algorithmic Trading Engineer - ED
About The Position
Morgan Stanley is seeking an experienced electronic trading technical lead to help advance its market-leading equities delta1 algo trading systems. The role involves building, deploying & supporting trading strategies, analytical tools, scalable trading engine infrastructure, working as part of a fast-moving IT / quant / trading team. This is an agile, front-office role facing off with the business and as such strong communication skills and ability to work effectively in a global team is essential. You will be leading and growing teams both in North America and globally. You will be using core Java 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 be involved in the full software development lifecycle from discussing and agreeing requirements, formulating designs 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.
Requirements
- Expert-level core Java knowledge in a UNIX/Linux environment
- Track record working in front-office environment with trading and quantitative strategists
- Experience working on systems for algo trading and/or automated market making in liquid markets (equities, FX, liquid rates, etc.)
- Experience with low-latency messaging middleware pub/sub technologies
- Electronic trading knowledge: cash / ETF / futures preferred; liquid rates / FX acceptable
- Strong problem solving skills
- Ability to analyse business & technical requirements and translate them into a well designed & coded solution
- Strong communication skills and ability to work in a team is essential
Nice To Haves
- Experience of Agentic AI-led software development
- Experience of working with KDB/Q
- HTML5/Angular UI development
Responsibilities
- Building, deploying & supporting trading strategies, analytical tools, scalable trading engine infrastructure
- Leading and growing teams both in North America and globally
- Using core Java to build and enhance trading strategies and engines
- Working directly with the global trading, quant and IT teams to advance the platform and the businesses it serves
- New and existing algorithm development
- Improving the technical and execution performance of trading systems
- Generation and analysis of trading signals & data
- Involved in the full software development lifecycle from discussing and agreeing requirements, formulating designs developing and deploying the changes
Benefits
- Comprehensive employee benefits and perks in the industry
- Opportunity to move about the business for those who show passion and grit in their work
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
