{"id":1263661,"url":"https://alion.io/job/morgan-stanley-algorithmic-trading-engineer-ed","title":"Algorithmic Trading Engineer - Executive Director","company":{"id":40230,"name":"Morgan Stanley","domain":"morganstanley.com","url":"https://alion.io/company/morgan-stanley","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":76,"open_postings":82,"ghost_share":0,"stale_share":0.951,"repost_share":0,"time_to_fill_p50_days":34,"computed_at":"2026-09-29T05:45:00Z"}},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":195000,"max":275000,"currency":"USD","period":"year","gross":null,"usd_annual":275000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Java","optional":false},{"name":"Linux","optional":false},{"name":"Unix","optional":false},{"name":"AI Agents","optional":true},{"name":"Angular","optional":true},{"name":"JavaScript","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-09-23T00:00:00Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-09-29T03:55:34Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Team Profile:\nMorgan 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.\nThis 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.\nRole Profile:\nYou will be leading and growing teams both in North America and globally\nYou will be using core Java to build and enhance trading strategies and engines\nThe role involves working directly with the global trading, quant and IT teams to advance the platform and the businesses it serves\nThe 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\nYou will be involved in the full software development lifecycle from discussing and agreeing requirements, formulating designs developing and deploying the changes\nThe 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\nundefined\nSkills Required:\nExpert-level core Java knowledge in a UNIX/Linux environment\nTrack record working in front-office environment with trading and quantitative strategists\nExperience working on systems for algo trading and/or automated market making in liquid markets (equities, FX, liquid rates, etc.)\nExperience with low-latency messaging middleware pub/sub technologies\nCandidate must have electronic trading knowledge: cash / ETF / futures preferred; liquid rates / FX acceptable.\nStrong problem solving skills\nAbility to analyse business & technical requirements and translate them into a well designed & coded solution\nStrong communication skills and ability to work in a team is essential\nSkills Desirable:\nExperience of Agentic AI-led software development\nExperience of working with KDB/Q\nHTML5/Angular UI development\nundefined\nCompany Profile:\nMorgan 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.\nAs 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.\nMorgan 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\nWHAT YOU CAN EXPECT FROM MORGAN STANLEY:\nAt 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.\nTo learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.\nExpected 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.\nMorgan 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.\nOur workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.\nFor more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.","description_format":"text","description_chars":5823,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Wealth Management & Financial Advisors","Asset Management & Funds","Investment Banking & M&A Advisory","Online Brokerage & Trading Platforms"],"lifecycle":[{"event":"open","at":"2026-09-25T21:32:16Z"},{"event":"close","at":"2026-09-28T00:30:54Z"},{"event":"reopen","at":"2026-09-28T06:07:35Z"}],"liveness":{"score":62,"band":"ok","label":"Likely open","p_open":1,"p_active":0.619,"p_room":1,"age_days":6,"expected_fill_days":34,"reasons":["conf:1","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-09-29T05:45:00Z"},"pay":{"stated_usd_annual":275000,"is_top_pay":true},"html_url":"https://alion.io/job/morgan-stanley-algorithmic-trading-engineer-ed","json_url":"https://alion.io/job/morgan-stanley-algorithmic-trading-engineer-ed.json","meta":{"generated_at":"2026-09-30T05:38:52Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4041,"day_limit":5000,"remaining_today":959,"minute_limit":60,"resets_at":"2026-10-01T00:00:00Z"}}}