{"id":1401310,"url":"https://alion.io/job/wise-quantitative-researcher-developer-data-science-treasury-fx-3","title":"Quantitative Researcher / Developer (Data Science) - Treasury FX","company":{"id":3856,"name":"Wise","domain":"wise.com","url":"https://alion.io/company/wise","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":75,"open_postings":28,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":22,"computed_at":"2026-09-30T05:45:00Z"}},"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":65000,"max_usd":159000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":8},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Python","optional":false},{"name":"Apache Kafka","optional":true},{"name":"Flink","optional":true},{"name":"Redis","optional":true},{"name":"Snowflake","optional":true},{"name":"Spark","optional":true}],"status":"closed","first_seen_at":"2026-09-25T11:42:09Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-09-29T07:11:17Z","board_verified":false,"closed_at":"2026-09-29T07:11:17Z","days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"Company Description\nWise is a global technology company, building the best way to move and manage the world’s money.\nMin fees. Max ease. Full speed.\nWhether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.\nAs part of our team, you will be helping us create an entirely new network for the world's money.\nFor everyone, everywhere.\nMore about what we offer.\nJob Description\nWe are seeking a quantitative researcher or quantitative developer to join ourTreasury FX Data Science team. You will help build and operate the models and production systems behind FX pricing, risk and trading. Your work will have a direct impact on Wise’s mission and millions of our customers.\nAbout the Role:\nYou'll join the Treasury FX Data Science team, helping own the quantitative models and production infrastructure that power how Wise manages FX risk across USD 250bn+ in annual FX volume - serving everyone from retail customers sending money abroad to tier-1 global investment banks via Wise Platform.\nThe wider Treasury FX team includes quants, traders, analysts, product managers and engineers working together to price, hedge, manage and scale FX operations within Wise in real time. Within that, the Data Science team owns a Python-first, production-grade quant platform which provides multi-instrument pricing, product modelling/monitoring, risk analytics and trading strategies.\nWe’re hiring for two complementary focus areas:\nQuantitative Researcher: Bring deeper expertise in quantitative modelling to develop and improve pricing, forecasting, risk analytics and hedging methodology with rigorous backtesting and stakeholder engagement\n\nQuantitative Developer: Bring deeper expertise in quantitative engineering to develop and improve production services, shared quant libraries and engineering reliability. You are expected to\n\nYour focus will reflect your strengths, with opportunities to contribute across both areas and broaden your expertise. We expect depth in one area, with a strong shared foundation in Python, quantitative reasoning and production ownership.\nWhat you’ll own\nA primary focus in either production quantitative engineering or applied quantitative modelling\n\nPython implementation of quantitative work from research or prototype through reliable production use\n\nValidation, backtesting and monitoring of model and service performance against realised outcomes\n\nDeployment, incident response, root-cause analysis and continuous improvement with stakeholders\n\nShared quant libraries used across multiple services\n\nCI/CD pipelines, deployments and operational excellence\n\nMonitoring, alerting, and reliability for real-time pricing and risk systems\n\nWhere you’ll grow\nMarket data management and onboarding new pipelines..\n\nDesigning new quant infrastructure and systems with the engineering team.\n\nBacktesting frameworks, model validation and risk modelling alongside the Risk team (VaR, stress testing, scenario analysis).\n\nCustomer behaviour modelling, pricing strategy and product development.\n\nCollaborating with product teams to translate quantitative insights into customer-facing decisions\n\nQualifications\nWhat we’re looking for\n4+ years of relevant quantitative or engineering experience, with strong Python development skills.\n\nQuantitative background - maths, physics, engineering or finance - you can read a model and reason about correctness.\n\nIt’s a bonus if you are familiar with\n\nFX or financial markets experience\n\nTerm structure modelling, stochastic calculus or Monte Carlo methods\n\nInterest rate curve bootstrapping\n\nAlgorithmic execution experience\n\nData lake or warehouse experience (Snowflake, Iceberg, Spark etc.)\n\nA product mindset - you think about who uses your systems and why.\n\nClear communicator who can work cross-functionally with other quants, analysts, traders, product managers and engineers.\n\nExperience taking quantitative work into production and owning its ongoing validation, monitoring and improvement.\n\nFor the Researcher track:\nStrong experience in quantitative research or modelling in finance, with depth in an area such as pricing, forecasting, risk or trading.\nAbility to translate an open-ended financial problem into a quantitative model, choose appropriate statistical or numerical methods, and explain assumptions and limitations.\nExperience designing backtests and out-of-sample validation, accounting for data leakage, transaction costs and changing market conditions.\nFor the Developer track:\nExperience with streaming systems, real-time data pipelines, or event-driven architectures (Kafka, Flink, Redis etc.)\n\nExperience with testing, monitoring, and debugging complex systems under load\n\nStrong experience with microservices, databases, and production infrastructure\nWe’re people without borders - without judgement or prejudice, too. We want to work with the best people, no matter their background. So if you’re passionate about learning new things and keen to join our mission, you’ll fit right in.\nAlso, qualifications aren’t that important to us. If you’ve got great experience, and you’re great at articulating your thinking, we’d like to hear from you.\nAnd because we believe that diverse teams build better products, we’d especially love to hear from you if you’re from an under-represented demographic\nAdditional Information\nFor everyone, everywhere. We're people building money without borders - without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.\nWe're proud to have a truly international team, and we celebrate our differences.\nInclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.\nIf you want to find out more about what it's like to work at Wise visit Wise.Jobs.\nKeep up to date with life at Wise by following us on LinkedIn and Instagram.","description_format":"text","description_chars":6043,"description_truncated":false,"requirements":{"experience_years_min":4,"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":[],"lifecycle":[{"event":"open","at":"2026-09-28T15:44:03Z"}],"liveness":null,"pay":null,"html_url":"https://alion.io/job/wise-quantitative-researcher-developer-data-science-treasury-fx-3","json_url":"https://alion.io/job/wise-quantitative-researcher-developer-data-science-treasury-fx-3.json","meta":{"generated_at":"2026-09-30T06:03:52Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4206,"day_limit":5000,"remaining_today":794,"minute_limit":60,"resets_at":"2026-10-01T00:00:00Z"}}}