{"id":1285198,"url":"https://alion.io/job/morgan-stanley-algorithmic-trading-engineer-ed-2","title":"Algorithmic Trading Engineer - ED","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":75,"open_postings":83,"ghost_share":0,"stale_share":0.988,"repost_share":0,"time_to_fill_p50_days":33,"computed_at":"2026-10-01T05:45:00Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":null,"employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":41000,"max_usd":96000,"period":"year","method":"role_country_seniority_unknown","sample_n":306},"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":"Angular","optional":true},{"name":"JavaScript","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-09-03T00:00:00Z","employer_posted_date":"2026-09-22","last_verified_at":"2026-10-01T19:11:47Z","board_verified":true,"closed_at":null,"days_open":29,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":29},"description":"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.\nThis 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.\nWhat you'll do in the role:\nYou 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 \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. \nWhat you'll bring to the role:\nExpert-level core Java knowledge in a UNIX/Linux environment.\n\nTrack record working in front-office environment with trading and quantitative strategists.\n\nExperience working on systems for automated market making, algo trading in liquid markets (equities, FX, liquid rates, etc.)\n\nExperience with low-latency messaging middleware pub/sub technologies.\n\nCandidate must have electronic trading knowledge: cash / ETF / futures preferred; liquid rates / FX acceptable.\n\nStrong problem solving skills\n\nAbility to analyse business & technical requirements and translate them into a well designed & coded solution\n\nStrong communication skills and ability to work in a team is essential.\n\nSkills Desirable:\nExperience interacting with and writing KDB/Q queries.\n\nExperience with Java/GC/Linux\n\nHTML5/Angular UI development\n\n#LI-CM1 #LI-Hybrid\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.\nCertified Persons Regulatory Requirements:\nIf 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.\nFlexible work statement\nInterested 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.\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":4519,"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":["Flexible schedule"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"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":"2026-09-26T04:28:36Z"}],"liveness":{"score":30,"band":"fade","label":"Fading","p_open":1,"p_active":0.398,"p_room":0.75,"age_days":28,"expected_fill_days":33,"reasons":["conf:8","stale_co","velocity","win:late","comp:brand"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/morgan-stanley-algorithmic-trading-engineer-ed-2","json_url":"https://alion.io/job/morgan-stanley-algorithmic-trading-engineer-ed-2.json","meta":{"generated_at":"2026-10-02T00:14:03Z","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":72,"day_limit":5000,"remaining_today":4928,"minute_limit":60,"resets_at":"2026-10-03T00:00:00Z"}}}