{"id":1289701,"url":"https://alion.io/job/millennium-management-quant-research-engineer","title":"Quant Research Engineer","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":87,"open_postings":69,"ghost_share":0,"stale_share":0.333,"repost_share":0,"time_to_fill_p50_days":82,"computed_at":"2026-10-05T05:45:15Z"}},"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":["Hong Kong","Dubai, United Arab Emirates","Tokyo, Japan","Shanghai, China"],"countries":["HK","AE","JP","CN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Dask","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"KDB+","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Redis","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-07-24T00:00:00Z","employer_posted_date":"2026-07-24","last_verified_at":"2026-10-06T01:44:00Z","board_verified":true,"closed_at":null,"days_open":74,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":74},"description":"Quant Research EngineerPlease direct all resume submissions to  and reference REQ-30162 as the subject.\nJob Specification: Quant Research Engineer\nPreferred Candidate Profile\nTop-tier academic background from a globally top-20 university (e.g., MIT, Harvard, Princeton, Stanford, Caltech)\nPhD-level training in Computer Science, Engineering, Physics, Mathematics, or Statistics preferred\nGold medal in a national or international olympiad (IMO, CMO, IOI, NOI, IPhO, CPhO) strongly preferred\nPrior experience at a top-tier quantitative trading firm or a leading AI/technology company preferred\nDemonstrated passion for applying AI - candidates who have built LLM-powered tools into their own research or engineering workflow stand out\nKey Responsibilities\nCore Infrastructure Ownership:\nDesign, build, and maintain the firm’s core quant pipelines, data infrastructure, and research and production compute environments.\nEnsure the reliability, scalability, and performance of critical systems central to our research and trading activities.\nDrive the architectural vision for our next-generation data and compute platform - including how AI-native capabilities (LLM services, agentic workflows, retrieval infrastructure) are embedded into the research stack. Collaboration & Integration:\nPartner directly with Quantitative Researchers and other development teams to understand their requirements and integrate new components into the core infrastructure.\nAct as a central point of expertise, facilitating the seamless flow of data and computation across teams and systems.\nIdentify where AI can accelerate the research process - from literature ingestion and data exploration to signal prototyping - and build the tooling that makes it routine.\nEstablish and enforce rigorous standards for system design, code quality, testing, and deployment. DevOps & AI-Augmented Operations:\nOwn the deployment, monitoring, and operational health of production and research systems.\nImplement robust observability, logging, and alerting frameworks; apply AI-assisted techniques (automated log analysis, anomaly detection, intelligent incident triage) to raise the bar on reliability.\nDrive infrastructure-as-code practices and automate operational workflows, leveraging AI coding agents and LLM tooling where they demonstrably improve velocity and quality.\nQualifications & Experience\n3-5 years of professional experience in a quantitative development role, focused on building and maintaining quantitative research and production pipelines. Alternatively, significant engineering experience in a fast-paced startup - or strong hands-on AI/LLM engineering experience (building production LLM applications, agentic systems, or AI-powered developer tooling) - with demonstrated ownership of complex infrastructure will be considered in lieu of direct quant experience.\nProven, end-to-end ownership of a significant piece of trading, research, high-performance, or AI infrastructure.\nDeep expertise in modern C++ and Python in a high-performance computing context.\nDemonstrable experience with large-scale data infrastructure (e.g., real-time/streaming and historical tick data).\nStrong background in cloud computing (AWS, GCP, or Azure) and parallel computing paradigms.\nHard Skills & Technical Knowledge:\nBroad knowledge of the technology landscape and the judgment to select the right tool for the problem (e.g., KDB+, Apache Spark, Dask, Redis).\nPractical experience applying LLMs and agentic workflows to real engineering or research problems - LLM APIs, agent frameworks, retrieval-augmented generation, and structured output pipelines - with sound judgment about where AI adds value and where determinism must be preserved.\nProficiency with different database designs - SQL, NoSQL, and distributed file systems.\nExperience with containerization and orchestration technologies (Docker, Kubernetes).\nStrong experience with DevOps practices: infrastructure-as-code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, GitLab CI), and system observability - including familiarity with AI-assisted operations tooling.\nSoft Skills:\nExceptional Logical & Reflective Thinking: Ability to deconstruct complex problems and design elegant, effective solutions.\nProactive Collaboration: A team player who thrives in a collaborative environment and builds strong partnerships.\nHigh Integrity: Takes initiative and ownership of projects, upholding rigorous ethical standards in handling sensitive data and models.\nGrowth Mindset: Innate curiosity and commitment to continuous improvement - including genuine enthusiasm for the rapidly evolving AI landscape and a track record of adopting new tools ahead of the curve.\nSuperb Communication: Can articulate complex technical concepts to both technical and non-technical stakeholders.","description_format":"text","description_chars":4837,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","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"}],"visa":[],"liveness":{"score":38,"band":"fade","label":"Fading","p_open":1,"p_active":0.63,"p_room":0.6,"age_days":73,"expected_fill_days":82,"reasons":["conf:2","velocity","win:late","crowd:brand"],"computed_at":"2026-10-05T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/millennium-management-quant-research-engineer","json_url":"https://alion.io/job/millennium-management-quant-research-engineer.json","meta":{"generated_at":"2026-10-06T02:50:07Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4249,"day_limit":5000,"remaining_today":751,"minute_limit":60,"resets_at":"2026-10-07T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":704283},"rest":"https://alion.io/mcp/rest/get_company?id=704283"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmillennium-management-quant-research-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fmillennium-management-quant-research-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fmillennium-management-quant-research-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/millennium-management-quant-research-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmillennium-management-quant-research-engineer"}]}