{"id":3862927,"url":"https://alion.io/job/ubs-ai-quant-developer-fx-options-e-trading","title":"AI Quant Developer, FX Options E-Trading","company":{"id":37850,"name":"UBS","domain":"ubs.com","url":"https://alion.io/company/switzerland","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"BrassRing","truth_index":{"grade":"A","score":86,"open_postings":47,"ghost_share":0,"stale_share":0.702,"repost_share":0.064,"time_to_fill_p50_days":21,"computed_at":"2026-11-07T05:47:08Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"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"],"countries":["HK"],"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":"CI/CD","optional":false},{"name":"Machine Learning","optional":false},{"name":"Time Series","optional":false}],"status":"live","first_seen_at":"2026-11-06T10:40:36Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-07T13:06:18Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"We are looking for an experienced AI Quant Developer to join the FX Options E-Trading team within UBS Investment Banking.This is a senior, hands-on quantitative development role focused on designing, building and operating the next generation of algorithmic pricing, market-making, execution and automated risk-management capabilities. The role combines strong software engineering with quantitative modelling and applied machine learning.\nYou will turn quantitative and AI research into robust production systems. This includes working from initial analysis and prototyping through model validation, software design, implementation, deployment, real-time monitoring and production support.\nYou will work closely with traders, quantitative analysts and engineering teams, but your primary responsibility will be the technical design and delivery of scalable, reliable e-trading solutions.\nQuantitative software development\nDesign and implement high-performance systems for electronic FX Options pricing, market-making, execution and risk management.\nBuild robust server-side applications and services, with particular attention to concurrency, latency, availability and operational resilience.\nDevelop reusable quantitative components, analytics and infrastructure that allow new models and trading ideas to be evaluated and deployed efficiently.\nTake ownership of solutions across the full software development lifecycle, from requirements analysis and architecture through implementation, testing, release and production support.\nMaintain high engineering standards through automated testing, code review, observability, controlled releases and continuous improvement.\nAI and quantitative model implementation\nTranslate quantitative research and machine-learning prototypes into maintainable, production-quality software.\nDevelop and integrate statistical-learning, time-series and machine-learning models for pricing, quoting, execution, liquidity management and automated risk management.\nBuild data and research pipelines for analysing large-scale market, trading and client datasets.\nImplement robust feature engineering, model evaluation and back-testing frameworks.\nEnsure that models can be monitored appropriately in production, including performance, model drift and changing market regimes.\nProduction platform ownership\nDevelop and enhance systems supporting electronic market-making, with a strong focus on reliability, performance and scalability.\nImprove the platform architecture so that models can move safely and efficiently from research into live trading.\nDiagnose complex production and performance issues across applications, data pipelines and distributed services.\nContribute to the team’s continuous delivery practices, enabling frequent, controlled production releases.\nDrive improvements that have a measurable impact on automation, trading performance, revenue generation and business growth.\nTechnical leadership\nProvide technical direction on quantitative development, AI engineering and e-trading architecture.\nIdentify opportunities to apply machine learning and modern software-engineering techniques to existing trading workflows.\nChallenge modelling and engineering assumptions, helping the team select solutions that are empirically sound and operationally robust.\nMentor quantitative developers and contribute to engineering standards, design reviews and technical strategy.\n• Collaborate closely with traders, quantitative researchers and global 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