{"id":3614830,"url":"https://alion.io/job/qube-research-technologies-2027-internship-business-data-analytics","title":"2027 - Internship, Business Data Analytics","company":{"id":706156,"name":"Qube Research & Technologies","domain":"qube-rt.com","url":"https://alion.io/company/qube-research-and-technologies","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":90,"open_postings":178,"ghost_share":0,"stale_share":0.197,"repost_share":0,"time_to_fill_p50_days":133,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Analytics","role_family":"Analytics","seniority":"intern","employment_type":"internship","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":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Function Calling","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"AWS","optional":true},{"name":"Embeddings","optional":true},{"name":"FastAPI","optional":true},{"name":"Neo4j","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-11-02T13:39:14Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-12T04:39:52Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":9},"description":"2027 - Internship, Business Data Analytics \nProgrammes offered: Final-year internship, penultimate-year internship \nLocation: London \nProgramme duration: 3-6 months internship, starting in 2027 \nWho qualifies: Penultimate or final-year students completing a bachelor’s or master’s degree \nQube Research & Technologies (QRT) is a global quantitative and systematic investment manager operatingacross liquid asset classes and markets worldwide. Our approach to investing is scientific: we bring together data, research, technologyand trading expertiseto develop and run systematic strategies. \nTechnology is central to how QRT works. Over the years, we have built a global research and execution platform spanning geographies, asset classesand trading horizons, from ultra-low-latency systems to large-scale research, analyticsand risk infrastructure. We invest heavily in engineering, automationand scalable systems because better technology allows us to test ideas faster, operatemore reliably and tackle harder problems. \nOur internships are designed to give students meaningful experience of that work. You’lljoin a team, contribute to real projectsand learn from engineers, researchers and traders working on live problems. The environment is technical, collaborative and demanding, with plenty of scope to ask questions, test ideas and take ownership. Strong performanceduring the internship may lead to consideration for a full-time graduate role. \nYour future role at QRT \nJoin QRT’s growing Business Data & Analytics (BDA) team to turn internal and external data into practical business solutions. Work with developers and business stakeholders to research questions, explore complex datasets, and build tools that inform senior stakeholders. \nWe are recruiting across three internship tracks, depending on your strengths and interests: \nApplied AI Engineering - Build and evaluate tools using LLMs, agents and retrieval to support research, automate workflows and enhance applications. \nApplied Data Science - Structure and connect data, apply statistical, machine learning and graph-based methods, and build data applications for the business. \nInvestment Analytics - Work with the investment team to turn complex data into clear insights and develop tools supporting investment decisions. \nYour responsibilities will include: \nTranslate business questions into analytical approaches, research and evaluate methods, and develop prototypes for integration with developers. \nCombine, structure and validate datasets across firms, teams and people; collect and analyse financial, market and portfolio data. \nBuild dashboards monitoring investment performance, portfolio exposures, risk metrics, and market trends. \nSupport investment research through quantitative analysis; communicate findings through clear visualisations and explanations for non-technical stakeholders. \nAssess accuracy and reliability, documenting assumptions and limitations. \nPrototype and test AI agents for document information extraction, research summaries, and recurring reports. \nYour present skillset \nStudying towards, or recently completed, a degree in Computer Science, Statistics, Data Science, Mathematics or another STEM discipline with relevant practical experience. \nStrong Python skills, clean, well-structured code, and experience cleaning, joining and modelling data from multiple sources. \nIntellectual curiosity about business, data and technology; strong analytical and problem-solving skills and a consulting mindset. \nEvidence of taking an open-ended problem from idea to working solution through projects, coursework, research or internships. \nClear communication, initiative, and organisation, with confidence working through undefined requirements. \nTrack-specific skills \nDemonstrate experience in your preferred track. Personal and passion projects are welcome: we are interested in what you built, your decisions, and what you learned. \nApplied AI Engineering - Hands-on experience with LLMs, including agents, tool use or retrieval; ability to assess AI outputs for accuracy, reliability and usefulness; interest in software deployment, operation and integration. \nApplied Data Science - Experience applying analytical or statistical methods, visualising data and presenting findings to non-technical users. Prior machine learning experience is not required; curiosity and solid data experience are valued. \nInvestment Analytics - Attention to detail, interest in financial markets and investing, working knowledge of Python and Excel for data analysis, and interest in LLMs, AI agents and automation. Clear communication, initiative and collaboration. \nGood to have \nGraph data experience with Neo4j, NetworkX or similar. \nSQL. \nCloud platforms, particularly AWS. \nMachine learning, including community detection, link prediction and embeddings for the Data Science track. \nData applications or APIs using Dash or FastAPI. \nInterview Process: \nApplication - Submit your application online. We review applications on a rolling basis, so applying early is recommended. \nTechnical Assessment - Selected candidates will complete a technical interview with the relevant team. \n Interviews - Shortlisted candidates will take part in interviews, either on-site or via Microsoft Teams. We’ll explore your technical foundations, how you reason through engineering problems and how you work with others. \nQRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.","description_format":"text","description_chars":5717,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Hedge Funds & Alternative Investments"],"lifecycle":[{"event":"open","at":"2026-11-02T16:00:17Z"}],"visa":[{"country":"GB","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"Licensed UK visa sponsor (Skilled Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Skilled Worker","cap_exempt":false,"checked_at":"2026-11-12T09:37:45+00:00","sources":["UK Home Office: register of licensed sponsors (workers)"],"filings_for_role_12m":0}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":8,"expected_fill_days":133,"reasons":["conf:2","velocity","win:early","comp:junior,brand"],"computed_at":"2026-11-11T05:49:22Z"},"pay":null,"html_url":"https://alion.io/job/qube-research-technologies-2027-internship-business-data-analytics","json_url":"https://alion.io/job/qube-research-technologies-2027-internship-business-data-analytics.json","meta":{"generated_at":"2026-11-12T09:53:36Z","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_verified","counted_by":"address","units_charged":1,"used_today":20081,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":706156},"rest":"https://alion.io/mcp/rest/get_company?id=706156"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fqube-research-technologies-2027-internship-business-data-analytics"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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%2Fqube-research-technologies-2027-internship-business-data-analytics"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fqube-research-technologies-2027-internship-business-data-analytics"},{"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/qube-research-technologies-2027-internship-business-data-analytics\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fqube-research-technologies-2027-internship-business-data-analytics"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3614830}},{"tool":"search_jobs","arguments":{"company":"qube-rt.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3614830},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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