{"id":3454034,"url":"https://alion.io/job/justmarkets-tech-quant-engineer","title":"Quant Engineer","company":{"id":4485827,"name":"JustMarkets Tech","domain":"justmarkets.tech","url":"https://alion.io/company/justmarkets-tech","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Ukraine"],"countries":["UA"],"hiring_countries":["UA"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":15500,"max_usd":46000,"period":"year","method":null,"sample_n":21788},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"SciPy","optional":false},{"name":"SQL","optional":false},{"name":"Statsmodels","optional":false},{"name":"Time Series","optional":false}],"status":"live","first_seen_at":"2026-10-26T11:59:46Z","employer_posted_date":null,"last_verified_at":"2026-10-26T11:59:46Z","board_verified":false,"closed_at":null,"days_open":4,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":4},"description":"We are looking for an experienced Quant Engineer to join our Trading Core and Risk Tech teams and take ownership of the mathematical models behind our trading and risk infrastructure. With billions in trading volume processed across our systems, accuracy, scalability, and model reliability are essential.\n\nYou will develop, backtest, and optimize the quantitative models powering our pricing engines, automated market-making strategies, risk management frameworks, including A/B/C-book optimization, and liquidation logic. Working closely with Core Product Managers and engineering teams, you will apply advanced mathematics, data analysis, and high-performance engineering to turn complex market data into scalable models and proprietary trading advantages.\n\nResponsibilities\n\nResearch, design, and prototype quantitative models for pricing, risk management, and market making\n\nBuild and maintain robust backtesting frameworks to validate the performance and safety of models before production deployment\n\nWrite clear, comprehensive mathematical and algorithmic specifications for Backend Engineers (Trading Core squads)\n\nCross functional with the R&D and Trading Ops teams\n\nConduct post-incident deep dives (e.g., after major market gaps or liquidations) to identify algorithm performance gaps and optimize them\n\nRequirements\n\n4+ years of experience as a Quant or Data Scientist\n\nExceptional knowledge of probability theory, stochastic calculus, time-series analysis, and financial mathematics\n\nAdvanced proficiency in Python (NumPy, Pandas, SciPy, SK-Learn, Statsmodels) for data analysis, modeling, and backtesting\n\nExperience with Machine Learning\n\nDeep understanding of market microstructure, order book dynamics, risk metrics (VaR, Expected Shortfall), and margin/liquidation mechanisms\n\nSQL skills and experience working with large-scale historical market data (tick data, order logs)\n\nStrong logical thinking, initiative, and well-developed communication skills\n\nWill be a plus\n\nExperience in CFD, Crypto CEX, Prop Trading Firm, or Hedge Fund\n\nDegree (MSc or PhD preferred) in a highly quantitative field: Mathematics, Physics, Quantitative Finance, Statistics, or Computer Science\n\nUnderstanding of Asset pricing models (e.g., Black-Scholes, local volatility models, Greeks management)\n\nKnowledge of the MetaTrader platforms (MT4/MT5)\n\nExperience with AI (Claude.io, Copilot, Codex)\n\nWe offer\n\n20 paid vacation days per year\n\n10 paid sick leave days per year\n\nPublic holidays as per the company’s approved Public holiday list\n\nMedical insurance\n\nOpportunity to work remotely\n\nProfessional education budget\n\nLanguage learning budget\n\nWellness budget (gym membership, sports gear and related expenses)","description_format":"text","description_chars":2710,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Gym membership","Health insurance"],"hiring_locations":[{"name":"Ukraine","iso":"UA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-29T12:21:41Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring 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