{"id":1351131,"url":"https://alion.io/job/lazard-quant-developer-researcher-london","title":"Quant Developer / Researcher (London)","company":{"id":1773292,"name":"Lazard","domain":"lazard.com","url":"https://alion.io/company/lazard","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":null},"role":"Data Science","role_family":"Data Science","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":78000,"max_usd":174000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":10},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Context Engineering","optional":false},{"name":"DuckDB","optional":false},{"name":"Function Calling","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"NumPy","optional":false},{"name":"Polars","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SciPy","optional":false},{"name":"Tool Use","optional":false}],"status":"live","first_seen_at":"2026-09-24T13:49:20Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-10-06T19:15:43Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"description":"Lazard is one of the world’s preeminent financial advisory and asset management firms. Our people and culture make the difference. While global in presence and reach, ours is a close, collaborative community of just over 3,000 professionals. Lazard is a place of continuous knowledge sharing, skill development and relationship building, where professionals grow and succeed together. Our entrepreneurial culture, flat structure and embrace of individual differences, allow creative ideas, original concepts, and unique perspectives to drive our business forward - and for careers to take flight.\nMany of the world’s leading investors -from individuals to institutions across the globe - have entrusted Lazard Asset Management. We pride ourselves in uncovering the best investment opportunities for our clients. The purpose of our asset management business is to help our clients invest for the future - whether it’s for retirement, to grow and preserve inter-generational wealth, or to benefit the organizations that make our world smarter, healthier and more sustainable.\nRole Profile:\nLazard Asset Management is seeking a Quant Developer / Researcher to join its Quantitative Research team in London. The role is designed for an exceptional programmer who wants to move into quantitative research. From the outset the position is split roughly evenly between quantitative development and research, and the balance is expected to shift progressively towards research as the successful candidate builds domain depth and a track record of research contribution.\nOn the engineering side, the immediate priorities are to scale up research code, build agentic AI research pipelines, automate workflows end-to-end, migrate existing R research code to Python, and take research implementations into production. On the research side, the successful candidate will work alongside senior researchers on signal construction, empirical testing, and evaluation, taking on progressively more independent research ownership.\nWe are looking for a candidate whose programming ability is genuinely exceptional, who has a very good working understanding of modern AI pipelines, and who already brings a solid grasp of capital markets together with some exposure to quantitative research concepts. Just as important is the ambition to become a researcher: this is a development role with a deliberate and supported path into research, not a permanent engineering seat.\nKey Responsibilities\nDevelopment and AI Pipelines (Initial Focus)\nWe'll trust you to:\nScale research code from prototype to robust, production-grade implementations, with close attention to correctness, speed, memory footprint, and reproducibility.\n\nDesign, build, and maintain agentic AI research pipelines - orchestration, tool use, context management, evaluation harnesses, and guardrails - to test and assess research ideas at greater scale.\n\nAutomate research, data, and reporting workflows end-to-end, removing manual steps and operational risk.\n\nConvert existing R research code to Python, preserving numerical equivalence while improving structure, testing, and maintainability.\n\nTake research models, backtesting frameworks, and analytics into production, and develop the Python research infrastructure used daily by the team - with proper version control, monitoring, data quality controls, and rising engineering standards for testing, code review, and environment management.\n\nEvaluate emerging AI models, frameworks, and evaluation methods, and judge which genuinely earn a place in the research stack.\n\nQuantitative Research (Growing Over Time)\nWe'll trust you to:\nWork with senior researchers to construct and test return-forecasting signals, from initial specification through empirical evaluation - running in-sample, out-of-sample, robustness, and sensitivity checks, and reporting results honestly, including where they are weak.\n\nBuild diagnostics and evaluation frameworks that make research results easier to interrogate and challenge.\n\nVet candidate data sources for coverage, quality, point-in-time integrity, and economic rationale before they enter the research process, and document methodology, results, and limitations to the standard expected of a regulated investment process.\n\nOver time, take ownership of research questions end-to-end: economic rationale, hypothesis formation, data engineering, factor construction, and testing.\n\nYou'll need to have:\nTypically three to seven years of professional experience in quantitative development, research engineering, or a closely related technical role, at least part of it in or alongside a financial markets environment.\n\nExceptional programming ability. Python to a very high standard, with a demonstrated record of clean, modular, tested, production-quality code, and comfort with profiling and performance optimisation.\n\nA very good understanding of AI pipelines: LLM-based systems, agentic orchestration, retrieval and context engineering, and the evaluation and testing of non-deterministic components.\n\nProven experience taking research or prototype code into production and owning it thereafter.\n\nSufficient proficiency in R to read, understand, and faithfully translate existing research code into Python.\n\nA good understanding of capital markets - instruments, market structure, and the data that describes them.\n\nSome exposure to quantitative research concepts such as return forecasting, factor models, backtesting, portfolio construction, or statistical inference on financial data.\n\nFluency with modern engineering practice, including version control, automated testing, continuous integration, code review, and reproducible environments.\n\nA clear and credible ambition to move into a research role, supported by evidence of curiosity and analytical rigour.\n\nStrong collaboration and communication skills in a research-driven environment.\n\nDeep familiarity with the Python numerical and data stack (NumPy, pandas, SciPy, scikit-learn, and modern columnar tooling such as Polars or DuckDB).\n\nHands-on experience with agent frameworks, LLM APIs, and the design of evaluation harnesses for LLM-based systems.\n\nExperience with performance optimisation, parallelisation, or distributed computing.\n\nExperience working with large financial datasets, including point-in-time data, vendor feeds, and corporate action handling.\n\nPrior experience migrating a research codebase between languages, particularly R to Python.\n\nA postgraduate qualification in a quantitative discipline, or comparable evidence of self-directed research capability.\n\nPersonal Characteristics\nSets an exceptionally high technical bar and takes evident pride in the quality of what is built.\n\nA logical, structured thinker who reasons from first principles and writes code that reflects that clarity.\n\nGenuine intellectual ambition - wants to understand and eventually own the investment ideas, not only implement them.\n\nStrong sense of initiative and ownership; drives projects forward at pace with appropriate guidance from senior team members.\n\nHealthy scepticism, particularly towards AI-generated output and results that look too good to be true.\n\nOperates effectively in a collaborative, research-oriented environment while holding a high personal bar for speed and quality.\n\n#LI-HB1 #LAM\nRepresentation at Lazard\nLazard is an intellectual capital business committed to delivering the best advice and solutions to clients. To achieve these objectives, we focus on attracting, developing and retaining the best talent. We believe that a workforce comprised of people who represent a wide array of backgrounds, experiences and perspectives creates a rich variety of thought that empowers us to challenge conventional wisdom, solve problems creatively and make better decisions.\nLazard was built on the premise that a multicultural firm can best serve a global clientele. As a global firm that has grown organically from local roots in different countries, we have a deep tradition of respecting and appreciating individual differences. Doing so has been core to our success for over 175 years. We are committed to sustaining an environment where every colleague is supported in their professional pursuits, can maximize their individual potential and contribute to our collective success.","description_format":"text","description_chars":8299,"description_truncated":false,"requirements":{"experience_years_min":3,"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":["Financial Services","Asset Management & Funds","Financial Advisory, Valuation & Restructuring"],"lifecycle":[{"event":"open","at":"2026-09-27T18:57:52Z"}],"visa":[{"country":"GB","licensed_sponsor":true,"evidence":"Licensed UK visa sponsor (Senior or Specialist Worker, Skilled Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Global Business Mobility: Senior or Specialist Worker; Skilled Worker","cap_exempt":false,"checked_at":"2026-10-06T06:21:00+00:00","sources":["UK Home Office: register of licensed sponsors (workers)"],"filings_for_role_12m":0}],"liveness":{"score":75,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.835,"p_room":0.9,"age_days":11,"expected_fill_days":25,"reasons":["conf:0","velocity","win:mid"],"computed_at":"2026-10-06T05:45:30Z"},"pay":null,"html_url":"https://alion.io/job/lazard-quant-developer-researcher-london","json_url":"https://alion.io/job/lazard-quant-developer-researcher-london.json","meta":{"generated_at":"2026-10-06T22:00:21Z","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":2043,"day_limit":5000,"remaining_today":2957,"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":1773292},"rest":"https://alion.io/mcp/rest/get_company?id=1773292"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flazard-quant-developer-researcher-london"},{"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%2Flazard-quant-developer-researcher-london"},{"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%2Flazard-quant-developer-researcher-london"},{"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/lazard-quant-developer-researcher-london\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flazard-quant-developer-researcher-london"}]}