{"id":788800,"url":"https://alion.io/job/selinicapital-junior-quantitative-researcher","title":"Junior Quantitative Researcher","company":{"id":686969,"name":"Selini Capital","domain":"selinicapital.com","url":"https://alion.io/company/selinicapital","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":41000,"max_usd":76000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":18},"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2025-08-20T09:34:49Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-11-02T01:16:28Z","board_verified":true,"closed_at":null,"days_open":438,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":437},"description":"Selini Capital - Job Description \nRole: Quantitative Researcher\nLocation: London, Singapore \nWorking Pattern: Office-Based\nAbout Selini:\nSelini is a global trading firm focused on systematic trading and venture investing, all within the digital assets space. \nThe Role:\nSelini Capital is seeking a highly analytical and technically gifted Quantitative Researcher to join our high-frequency trading team. In this role, you’ll focus on refining features, designing better models, and advancing core research pipelines. You’ll collaborate closely with other researchers and engineers to push the boundaries of what’s possible in highly competitive electronic markets.\nThe ideal candidate is a curious, rigorous thinker with a strong technical foundation and a bias toward empirical validation. You enjoy working with data, building systems to understand it, and using that understanding to drive performance.\nResponsibilities:\nAs a Quantitative Researcher, you will:\nDesign, test, and refine features and model architectures to improve prediction and execution performance\nDevelop and improve research pipelines and tools for large-scale strategy simulation and optimization on a cutting-edge compute cluster\nConduct deep-dive analyses of market data, live strategy behavior, and model outputs to guide iterative improvements\nStay up-to-date on advances in quantitative methods, ML, and optimization applying new insights to real-world challenges\nWhy This Role Is Unique:\nResearch First - This role is research-heavy you’ll be focused on signal improvement, model fidelity, and hypothesis generation, not plumbing infrastructure or devops.\nBreadth and Depth - You’ll work at every level of the alpha stack: from feature design and statistical modeling to optimizer tuning \nDirect Feedback Loop - We deploy and iterate quickly. Your work will feed directly into live strategies and have measurable real-world impact\nWorld-Class Environment - Join a high-talent, low-ego team with experience across elite trading firms, olympiads, and academic research\nCore Qualifications:\n1-5 years of experience in quantitative research, applied ML, or statistics\nFluency in Python and/or C++, with the ability to translate research concepts into performant, production-ready implementations\nStrong knowledge of algorithms, linear algebra, statistics, and optimization techniques\nAbility to uncover meaningful structure in noisy, high-frequency market data - from alpha signal extraction to modeling order book behavior\nCan take research ideas from concept to experimental evaluation with minimal supervision\nSignals of Excellence:\nTrack record of PNL generation using model-driven strategies\nOutstanding academic record in a quantitative field\nStrong performance in competitive programming or quantitative olympiads\nCompany Culture & Team Fit:\nWe’re a close-knit team that values:\nHigh ownership and initiative\nCuriosity, intellectual honesty, and rapid learning\nClear, direct communication\nWorking together toward shared goals no ego, no politics\nWe hire people who love building, solving, and improving and who want to learn from and contribute to a team of exceptional peers.\nCompensation & Benefits:\nVery competitive compensation, with strong upside based on contribution and performance\nCompetitive holiday allowance \nPension contribution and medical cover \nFree daily Deliveroo lunch\nHigh-spec office and technology\nTeam socials\nGlobal company offsites and development 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