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Morgan Stanley

Algorithmic Trading Engineer - ED

Morgan Stanley is hiring an Algorithmic Trading Engineer - ED in London, United Kingdom. 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.
  • Some of the work can be done remotely, according to the posting.
  • The posting mentions Java, Linux and Angular among its tools and skills.
  • Level classes it as a senior role.
  • Morgan Stanley has 1,200+ other open roles on Level.

AI in this role

Build and enhance low-latency electronic trading systems and algorithms using core Java in a front-office environment.

JavaLinuxAngular
algorithmic-tradinglow-latencydistributed-systems

We are seeking an experienced electronic trading tech 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 in a team is essential.

What you'll do in the role:

  • You will be using core Java development to build and enhance trading strategies and engines, primarily in the delta1 space but with the opportunity to work with other asset classes
  • 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.


What you'll bring to the role:

  • 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 automated market making, algo trading 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 interacting with and writing KDB/Q queries.

  • Experience with Java/GC/Linux

  • HTML5/Angular UI development

#LI-CM1 #LI-Hybrid

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.

Certified Persons Regulatory Requirements:
If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.

Flexible work statement
Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.

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 - ED at Morgan Stanley rates 0 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.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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

Algorithmic TradingLow LatencyDistributed SystemsJavaLinuxAngular

Questions you could be asked

  1. Tell me about a project where algorithmic trading was part of your work. What did you do?
  2. Tell me about a project where low latency was part of your work. What did you do?
  3. Tell me about a project where distributed systems was part of your work. What did you do?
  4. What's a project where you used Java hands-on?
  5. Walk me through how you've used Linux in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Algorithmic Trading, Low Latency, Distributed Systems, Java, and Linux. 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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