Algorithmic Trading Engineer - Executive Director
Morgan Stanley is hiring an Algorithmic Trading Engineer - Executive Director in New York, United States. It pays $195k-$275k a year and Level rates it ; you can apply on Morgan Stanley.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- The posting mentions Java, Unix and Linux among its tools and skills.
- Level classes it as an executive role.
- Morgan Stanley has 1,200+ other open roles on Level.
AI in this role
Lead technical teams building high-frequency electronic trading systems and low-latency algorithmic infrastructure in Java.
Team Profile:
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.
Role Profile:
- 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
- undefined
Skills Required:
- 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
- Candidate must have 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
Skills Desirable:
- Experience of Agentic AI-led software development
- Experience of working with KDB/Q
- HTML5/Angular UI development
- undefined
Company Profile:
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries.
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. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.
Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximise 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
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.
Expected base pay rates for the role will be between $195,000 and $275,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
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.
How we rate this
Algorithmic Trading Engineer - Executive Director at Morgan Stanley rates 15 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where algorithmic trading was part of your work. What did you do?
- Tell me about a project where low latency was part of your work. What did you do?
- Tell me about a project where software development was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
- Walk me through how you've used Java in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Algorithmic Trading, Low Latency, Software Development, Distributed Systems, and Java. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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