{"id":1289693,"url":"https://alion.io/job/millennium-management-quantitative-developer-research-ml-engineering-systematic-macro","title":"Quantitative Developer, Research & ML Engineering, Systematic Macro","company":{"id":704283,"name":"Millennium Management","domain":"mlp.com","url":"https://alion.io/company/millennium-management","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"A","score":91,"open_postings":74,"ghost_share":0,"stale_share":0.176,"repost_share":0,"time_to_fill_p50_days":110,"computed_at":"2026-09-30T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"on_site","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":85000,"max_usd":245000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":585},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"C++","optional":false},{"name":"Function Calling","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Tool Use","optional":false}],"status":"live","first_seen_at":"2026-07-28T00:00:00Z","employer_posted_date":"2026-07-28","last_verified_at":"2026-09-30T18:39:17Z","board_verified":true,"closed_at":null,"days_open":65,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":65},"description":"Quantitative Developer, Research & ML Engineering, Systematic MacroPlease direct all resume submissions  referenceREQ-30266 in the subject line.\nMillennium is a top tier global hedge fund with a strong commitment to leveraging market innovations in technology and data to deliver high-quality returns.\nJob Description\nA collaborative and entrepreneurial systematic macro pod is seeking an experienced Quantitative Developer with a machine learning focus. You will develop and deploy machine learning models on high-frequency market data, and build the research and compute infrastructure behind them.\nThe successful candidate will develop, optimize, and deploy machine learning models - classical and deep learning - applied to high-frequency market data within the systematic pod, working closely with the Senior Portfolio Manager to turn models into live trading signals. The role also extends to enhancing the pod’s wider research infrastructure: distributed computation, large-scale parameter search, and a streamlined path from research to production.\nLocation\nLondon\nPrincipal Responsibilities\nDesign, train and productionize large-scale machine learning models across both classical and deep learning approaches, applied to high-frequency data\nEnhance and optimize the pod’s end-to-end machine learning pipeline, from large-scale data processing and distributed computation to scalable parameter search and validation\nContribute to improving the speed, scalability, and reliability of the pod’s wider signal development environment, ensuring consistent and efficient migration from research to production\nPartner with broader technology teams to make effective use of shared internal platforms and Services\nQualifications\nMaster’s or PhD/Post doctorate in Computer Science, Mathematics, Statistics, Engineering, Physics, or a related quantitative discipline, from a leading institution\nPreferred Technical Skills\n3+ years of professional experience in software engineering, quantitative development, or a related computational role\nExperience developing and validating machine learning models on large, complex datasets, across both classical and deep learning approaches, in industry or academia\nExperience building distributed computing systems for machine learning applications\nStrong Python programming skills beyond the standard research stack - parallelism, distributed compute, and native acceleration such as Python or C++ bindings\nFamiliarity with C++ is a strong plus, alongside the software engineering fundamentals to pick it up quickly\nExperience building data-intensive tools, research workflows, or model development infrastructure\nStrong Linux development experience\nExperience building agentic AI systems - tool use, orchestration, and evaluation\nHigh Valued Experience\nExperience with backtesting and awareness of common research pitfalls such as overfitting, lookahead bias, and survivorship bias\nUnderstanding of systematic trading strategies and quantitative research workflows\nKnowledge of market microstructure\nExperience supporting production research workflows or model deployment in a front-office environment","description_format":"text","description_chars":3168,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Hedge Funds & Alternative Investments"],"lifecycle":[{"event":"open","at":"2026-09-26T07:37:06Z"}],"liveness":{"score":43,"band":"fade","label":"Fading","p_open":1,"p_active":0.591,"p_room":0.72,"age_days":64,"expected_fill_days":110,"reasons":["conf:6","velocity","win:mid","crowd:brand"],"computed_at":"2026-09-30T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/millennium-management-quantitative-developer-research-ml-engineering-systematic-macro","json_url":"https://alion.io/job/millennium-management-quantitative-developer-research-ml-engineering-systematic-macro.json","meta":{"generated_at":"2026-10-01T02:29:45Z","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":1872,"day_limit":5000,"remaining_today":3128,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}