[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-expertise-debugging-mx":3,"job-search-\u002Fen-mx\u002Fjobs-by-expertise\u002Fdebugging":4,"expertise-filters-\u002Fen-mx\u002Fjobs-by-expertise\u002Fdebugging":82,"featured-jobs-\u002Fen-mx\u002Fjobs-by-expertise\u002Fdebugging":169},{},{"total":5,"jobs":6},2,[7,57],{"id":8,"slug":9,"title":10,"raw_title":11,"is_featured":12,"company":13,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":16,"processed_country_iso_code_gmaps":18,"processed_home_office":20,"processed_salary_min":21,"processed_salary_max":22,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":25,"processed_employment_types":27,"processed_it_skills":28,"processed_it_skills_labels":31,"processed_job_expertise_skills":41,"processed_job_expertise_skills_labels":42,"max_cpc":56,"actual_cpc":56},69605,"especialista-murex-risk-quantitative-engineering-miguel-hidalgo-ciudad-de-mexico-bbva-technology-america-sa-de-cv","Especialista Murex Risk & Quantitative Engineering (Miguel Hidalgo, Ciudad de México)",null,false,{"name":14,"slug":15,"logo_url":11},"BBVA TECHNOLOGY AMERICA, S.A. DE C.V.","bbva-technology-america-sa-de-cv",[17],"Ciudad de México",[19],"MX","onsite",600000,900000,"MXN","estimated",[26],"FULL_TIME","permanent",{"git":29,"sql":30,"xml":30,"apis":30,"fpml":29,"java":30,"jira":5,"ci\u002Fcd":29,"confluence":5},3,4,[32,33,34,35,36,37,38,39,40],"Java","SQL","XML","FpML","APIs","Git","CI\u002FCD","Jira","Confluence",{"testing":29,"debugging":29,"deployment":29,"murex\u002Fmx.3":30,"credit risk":29,"derivatives":5,"market risk":30,"valuation models":5,"release management":29,"quantitative finance":5,"financial mathematics":5,"financial markets processes":29,"treasury operations lifecycle":29},[43,44,45,46,47,48,49,50,51,52,53,54,55],"Murex\u002FMX.3","Market Risk","Credit Risk","Financial Markets Processes","Treasury Operations Lifecycle","Testing","Debugging","Release Management","Deployment","Quantitative Finance","Financial Mathematics","Derivatives","Valuation Models",1,{"id":58,"slug":59,"title":60,"raw_title":11,"is_featured":12,"company":61,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":62,"processed_country_iso_code_gmaps":63,"processed_home_office":20,"processed_salary_min":21,"processed_salary_max":22,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":64,"processed_employment_types":27,"processed_it_skills":65,"processed_it_skills_labels":66,"processed_job_expertise_skills":72,"processed_job_expertise_skills_labels":73,"max_cpc":56,"actual_cpc":81},69618,"quantitative-risk-engineer-algorithmics-ciudad-de-mexico-miguel-hidalgo-bbva-technology-america-sa-de-cv","Quantitative Risk Engineer – Algorithmics (Ciudad de México, Miguel Hidalgo)",{"name":14,"slug":15,"logo_url":11},[17],[19],[26],{"git":29,"sql":30,"xml":30,"apis":30,"fpml":29,"java":30,"unix":29,"ci\u002Fcd":29,"linux":30,"oracle":30,"messaging":29,"batch processing":29},[32,33,67,34,35,68,69,37,38,36,70,71],"Oracle","Linux","Unix","Messaging","Batch Processing",{"testing":30,"treasury":30,"debugging":30,"market risk":30,"capital markets":29,"financial markets":30,"migration projects":29,"system integration":30,"technical analysis":30,"functional analysis":30},[44,74,75,76,77,78,79,48,49,80],"Financial Markets","Treasury","Capital Markets","System Integration","Functional Analysis","Technical Analysis","Migration Projects",0.5,{"industry":83,"employment_type":87,"expertise_skills":90,"it_skills":132,"salary_currency":165,"processed_working_hours":167},[84],{"key":85,"label":86,"count":5},"financial services","Financial Services",[88],{"key":27,"label":89,"count":5},"PERMANENT",[91,93,95,97,99,101,103,105,107,109,112,114,116,118,120,122,124,126,128,130],{"key":92,"label":49,"slug":92,"count":5},"debugging",{"key":94,"label":44,"slug":94,"count":5},"market-risk",{"key":96,"label":48,"slug":96,"count":5},"testing",{"key":98,"label":54,"slug":98,"count":56},"derivatives",{"key":100,"label":74,"slug":100,"count":56},"financial-markets",{"key":102,"label":46,"slug":102,"count":56},"financial-markets-processes",{"key":104,"label":53,"slug":104,"count":56},"financial-mathematics",{"key":106,"label":78,"slug":106,"count":56},"functional-analysis",{"key":108,"label":80,"slug":108,"count":56},"migration-projects",{"key":110,"label":111,"slug":110,"count":56},"murexmx3","Murex\u002FMx.3",{"key":113,"label":52,"slug":113,"count":56},"quantitative-finance",{"key":115,"label":50,"slug":115,"count":56},"release-management",{"key":117,"label":77,"slug":117,"count":56},"system-integration",{"key":119,"label":79,"slug":119,"count":56},"technical-analysis",{"key":121,"label":75,"slug":121,"count":56},"treasury",{"key":123,"label":47,"slug":123,"count":56},"treasury-operations-lifecycle",{"key":125,"label":76,"slug":125,"count":56},"capital-markets",{"key":127,"label":55,"slug":127,"count":56},"valuation-models",{"key":129,"label":45,"slug":129,"count":56},"credit-risk",{"key":131,"label":51,"slug":131,"count":56},"deployment",[133,136,139,142,144,146,148,151,153,155,157,159,161,163],{"key":134,"label":135,"slug":134,"count":5},"apis","Apis",{"key":137,"label":138,"slug":137,"count":5},"cicd","Ci\u002FCd",{"key":140,"label":141,"slug":140,"count":5},"fpml","Fpml",{"key":143,"label":37,"slug":143,"count":5},"git",{"key":145,"label":32,"slug":145,"count":5},"java",{"key":147,"label":33,"slug":147,"count":5},"sql",{"key":149,"label":150,"slug":149,"count":5},"xml","Xml",{"key":152,"label":39,"slug":152,"count":56},"jira",{"key":154,"label":71,"slug":154,"count":56},"batch-processing",{"key":156,"label":68,"slug":156,"count":56},"linux",{"key":158,"label":40,"slug":158,"count":56},"confluence",{"key":160,"label":70,"slug":160,"count":56},"messaging",{"key":162,"label":67,"slug":162,"count":56},"oracle",{"key":164,"label":69,"slug":164,"count":56},"unix",[166],{"key":23,"label":23,"count":5},[168],{"key":26,"label":26,"count":5},{"total":170,"jobs":171},0,[]]