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Algorithmic Trading Engineer - Executive Director

Morgan Stanley

Company websitemorganstanley.com (Morgan Stanley, opens in new tab)

Base salary $195K  to $300K

Employer-published annual base salary, USD. Advertised base range in New York, NY

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  • LocationNew York, NY
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (32 min ago) · observed since

About this job

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 $300,000 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.

Source: Morgan Stanley on Workday · View original posting (opens in new tab)

This range next to 6 other live Morgan Stanley roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Morgan Stanley roles with the nearest advertised base floor
RolePublished base
Algorithmic Trading Engineer - Executive Director (this listing)$195K - $300K
Executive Director - Sr. Technical Lead - Electronic Trading Platform$195K - $275K
Technical Program Manager – Cyber / Data Security$195K - $275K
Quantitative AI and Data Analyst - Executive Director$195K - $275K
Executive Director – Site Reliability Engineering – WM Technology$195K - $275K
Global Lead – Electronic Trading, Platform as a Service (Executive Director)$195K - $275K
Vice President, Software Engineer$198K - $210K

Same $100K to $400K scale as every card. All Morgan Stanley roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-10-13
Where this pay comes from

Location as the employer wrote it: New York, New York, United States of America

Expected base pay rates for the role will be between $195,000 and $300,000 per year at the commencement of employment. However, base p

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.