[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-expertise-probability-global":3,"job-search-\u002Fde-global\u002Fjobs-by-expertise\u002Fprobability":4,"expertise-filters-\u002Fde-global\u002Fjobs-by-expertise\u002Fprobability":369,"featured-jobs-\u002Fde-global\u002Fjobs-by-expertise\u002Fprobability":523},{},{"total":5,"jobs":6},12,[7,53,103,117,149,178,200,231,269,294,330,349],{"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":17,"processed_home_office":19,"processed_salary_min":20,"processed_salary_max":21,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":24,"processed_employment_types":26,"processed_it_skills":27,"processed_it_skills_labels":30,"processed_job_expertise_skills":38,"processed_job_expertise_skills_labels":39,"max_cpc":52,"actual_cpc":52},83400,"rating-analyst-emc","Rating Analyst",null,false,{"name":14,"slug":15,"logo_url":11},"EMC","emc",[],[18],"US","hybrid",60813,92395,"USD","estimated",[25],"FULL_TIME","permanent",{"sql":28,"python":28,"power bi":28,"microsoft word":28,"microsoft excel":29,"microsoft powerpoint":28,"product management tools":28},2,3,[31,32,33,34,35,36,37],"Microsoft Excel","Microsoft Word","Microsoft PowerPoint","Power BI","SQL","Python","Product management tools",{"statistics":29,"mathematics":29,"probability":29,"rate filings":28,"data analysis":29,"documentation":28,"quality control":28,"business analysis":29,"actuarial analysis":29,"insurance operations":28,"rate impact analysis":28,"financial mathematics":29},[40,41,42,43,44,45,46,47,48,49,50,51],"Actuarial analysis","Business analysis","Data analysis","Mathematics","Probability","Statistics","Financial mathematics","Insurance operations","Rate impact analysis","Rate filings","Quality control","Documentation",1,{"id":54,"slug":55,"title":56,"raw_title":11,"is_featured":12,"company":57,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":60,"processed_country_iso_code_gmaps":62,"processed_home_office":19,"processed_salary_min":64,"processed_salary_max":65,"processed_salary_currency":66,"processed_salary_source":23,"processed_working_hours":67,"processed_employment_types":26,"processed_it_skills":68,"processed_it_skills_labels":70,"processed_job_expertise_skills":74,"processed_job_expertise_skills_labels":75,"max_cpc":52,"actual_cpc":52},72210,"corporate-banking-capital-strats-9608-deutsche-india-private-limited-mumbai-branch-4","Corporate Banking Capital Strats",{"name":58,"slug":59,"logo_url":11},"9608 Deutsche India Private Limited, Mumbai Branch","9608-deutsche-india-private-limited-mumbai-branch",[61],"Mumbai",[63],"IN",3000000,5000000,"INR",[25],{"c++":29,"sql":29,"mysql":28,"oracle":28,"python":69},4,[36,71,35,72,73],"C++","Oracle","MySQL",{"testing":29,"ai tools":29,"automation":29,"statistics":69,"calibration":69,"credit risk":29,"forecasting":69,"probability":69,"data quality":29,"data science":29,"econometrics":29,"optimization":69,"data analysis":69,"linear algebra":69,"data validation":69,"database design":29,"banking products":29,"model development":69,"scenario analysis":69,"capital management":69,"production support":29,"regulatory capital":29,"release activities":29,"expected credit loss":69,"relational databases":29,"risk-weighted assets":69,"platform modernization":29,"quantitative analytics":69,"financial resource management":69},[76,77,78,79,80,81,82,83,84,85,86,87,88,44,89,45,90,91,92,93,94,95,96,97,98,99,100,101,102],"Quantitative Analytics","Forecasting","Capital Management","Expected Credit Loss","Risk-Weighted Assets","Financial Resource Management","Model Development","Calibration","Scenario Analysis","Data Analysis","Data Validation","Database Design","Relational Databases","Linear Algebra","Optimization","Econometrics","Data Science","Banking Products","Credit Risk","Regulatory Capital","Automation","Platform Modernization","Data Quality","Testing","Release Activities","Production Support","AI Tools",{"id":104,"slug":105,"title":56,"raw_title":11,"is_featured":12,"company":106,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":107,"processed_country_iso_code_gmaps":108,"processed_home_office":19,"processed_salary_min":109,"processed_salary_max":110,"processed_salary_currency":66,"processed_salary_source":23,"processed_working_hours":111,"processed_employment_types":26,"processed_it_skills":112,"processed_it_skills_labels":113,"processed_job_expertise_skills":115,"processed_job_expertise_skills_labels":116,"max_cpc":52,"actual_cpc":52},72207,"corporate-banking-capital-strats-9608-deutsche-india-private-limited-mumbai-branch-2",{"name":58,"slug":59,"logo_url":11},[61],[63],2500000,4000000,[25],{"c++":29,"sql":29,"mysql":28,"oracle":28,"python":69,"ai tools":29},[36,71,35,72,73,114],"AI tools",{"testing":29,"automation":29,"statistics":69,"calibration":69,"credit risk":29,"forecasting":69,"probability":69,"data quality":29,"data science":29,"econometrics":29,"optimization":69,"data analysis":69,"linear algebra":69,"data validation":69,"database design":29,"banking products":29,"model development":69,"scenario analysis":69,"capital management":69,"production support":29,"regulatory capital":29,"expected credit loss":69,"relational databases":29,"risk-weighted assets":69,"platform modernization":29,"quantitative analytics":69,"financial resource management":69},[76,77,78,79,80,81,82,83,84,85,86,87,88,44,89,45,90,91,92,93,94,95,96,97,98,99,101],{"id":118,"slug":119,"title":120,"raw_title":11,"is_featured":12,"company":121,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":125,"processed_country_iso_code_gmaps":127,"processed_home_office":129,"processed_salary_min":130,"processed_salary_max":131,"processed_salary_currency":132,"processed_salary_source":23,"processed_working_hours":133,"processed_employment_types":26,"processed_it_skills":134,"processed_it_skills_labels":135,"processed_job_expertise_skills":137,"processed_job_expertise_skills_labels":138,"max_cpc":52,"actual_cpc":52},70975,"actuarial-specialist-allianz-insurance-3","Actuarial Specialist",{"name":122,"slug":123,"logo_url":124},"Allianz Insurance","allianz-insurance","https:\u002F\u002Fcdn.phenompeople.com\u002FCareerConnectResources\u002FAISAIPGB\u002Fimages\u002FHeader-1706868786965.svg",[126],"Bucharest",[128],"RO","onsite",30000,50000,"EUR",[25],{"generative artificial intelligence (genai)":28},[136],"Generative Artificial Intelligence (GenAI)",{"probability":69,"embedded value":29,"actuarial analysis":69,"financial reporting":69,"financial mathematics":69,"mathematical statistics":69,"profitability monitoring":29,"actuarial process optimization":29,"statistical models and methods":69,"capital requirement calculations":29,"insurance product profitability evaluation":29},[139,140,44,141,142,143,144,145,146,147,148],"Financial Mathematics","Financial Reporting","Mathematical Statistics","Statistical Models and Methods","Actuarial Analysis","Embedded Value","Capital Requirement Calculations","Insurance Product Profitability Evaluation","Profitability Monitoring","Actuarial Process Optimization",{"id":150,"slug":151,"title":152,"raw_title":11,"is_featured":12,"company":153,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":156,"processed_country_iso_code_gmaps":158,"processed_home_office":19,"processed_salary_min":159,"processed_salary_max":160,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":161,"processed_employment_types":26,"processed_it_skills":162,"processed_it_skills_labels":163,"processed_job_expertise_skills":164,"processed_job_expertise_skills_labels":165,"max_cpc":52,"actual_cpc":52},72311,"quantitative-strategist-emerging-markets-vice-president-5006-deutsche-bank-securities-inc","Quantitative Strategist (Emerging Markets) – Vice President",{"name":154,"slug":155,"logo_url":11},"5006 Deutsche Bank Securities Inc.","5006-deutsche-bank-securities-inc",[157],"New York",[18],155000,252500,[25],{"c++":69,"python":69,"ai tools":29},[36,71,102],{"ipv":29,"pricing":69,"automation":69,"probability":69,"fx derivatives":69,"risk management":69,"secured funding":29,"numerical methods":69,"credit derivatives":69,"financial modeling":69,"hedging algorithms":29,"stochastic calculus":69,"derivatives modeling":69,"quantitative analytics":69,"interest rate derivatives":69},[76,166,167,168,169,170,44,171,172,173,174,96,175,176,177],"Financial Modeling","Pricing","Risk Management","Stochastic Calculus","Numerical Methods","Derivatives Modeling","Interest Rate Derivatives","Credit Derivatives","FX Derivatives","IPV","Secured Funding","Hedging Algorithms",{"id":179,"slug":180,"title":181,"raw_title":11,"is_featured":12,"company":182,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":183,"processed_country_iso_code_gmaps":185,"processed_home_office":129,"processed_salary_min":186,"processed_salary_max":187,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":188,"processed_employment_types":189,"processed_it_skills":190,"processed_it_skills_labels":191,"processed_job_expertise_skills":194,"processed_job_expertise_skills_labels":195,"max_cpc":52,"actual_cpc":52},71000,"summer-2027-aim-hedging-analyst-internship-fully-onsite-allianz-insurance","Summer 2027 AIM Hedging Analyst Internship | Fully Onsite",{"name":122,"slug":123,"logo_url":124},[184],"Minneapolis",[18],64480,72800,[25],"student",{"python":29,"software development":29,"artificial intelligence tools":28},[36,192,193],"Software Development","Artificial Intelligence Tools",{"calculus":29,"statistics":29,"probability":29,"back-testing":28,"hedging strategies":28,"financial mathematics":29,"financial markets knowledge":29},[196,45,44,139,197,198,199],"Calculus","Hedging Strategies","Back-testing","Financial Markets Knowledge",{"id":201,"slug":202,"title":203,"raw_title":11,"is_featured":12,"company":204,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":207,"processed_country_iso_code_gmaps":209,"processed_home_office":129,"processed_salary_min":211,"processed_salary_max":212,"processed_salary_currency":213,"processed_salary_source":23,"processed_working_hours":214,"processed_employment_types":26,"processed_it_skills":215,"processed_it_skills_labels":216,"processed_job_expertise_skills":224,"processed_job_expertise_skills_labels":225,"max_cpc":52,"actual_cpc":52},59545,"senior-applied-data-scientist-gbr006-refinitiv-limited","Senior Applied Data Scientist",{"name":205,"slug":206,"logo_url":11},"Refinitiv Limited","refinitiv-limited",[208],"London",[210],"GB",90000,130000,"GBP",[25],{"aws":29,"azure":29,"ci\u002Fcd":29,"devops":29,"python":69,"pytorch":69,"tensorflow":69,"scikit-learn":69},[36,217,218,219,220,221,222,223],"TensorFlow","PyTorch","Scikit-Learn","Azure","AWS","CI\u002FCD","DevOps",{"probability":69,"coding standards":29,"machine learning":69,"project management":29,"ai model deployment":69,"statistical analysis":69},[226,44,227,228,229,230],"Statistical Analysis","Machine Learning","AI Model Deployment","Project Management","Coding Standards",{"id":232,"slug":233,"title":234,"raw_title":11,"is_featured":12,"company":235,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":236,"processed_country_iso_code_gmaps":237,"processed_home_office":19,"processed_salary_min":238,"processed_salary_max":239,"processed_salary_currency":132,"processed_salary_source":23,"processed_working_hours":240,"processed_employment_types":26,"processed_it_skills":241,"processed_it_skills_labels":242,"processed_job_expertise_skills":252,"processed_job_expertise_skills_labels":253,"max_cpc":52,"actual_cpc":52},59526,"data-science-manager-gbr006-refinitiv-limited","Data Science Manager",{"name":205,"slug":206,"logo_url":11},[208],[210],120000,180000,[25],{"ci\u002Fcd":29,"devops":29,"python":69,"pytorch":69,"langchain":69,"kubernetes":29,"tensorflow":69,"azure openai":69,"hugging face":69,"scikit-learn":69,"aws ai services":69,"azure ai search":69,"semantic kernel":69,"azure ai foundry":69,"azure machine learning":69},[36,218,217,219,243,244,245,246,247,248,249,250,251,222,223],"Hugging Face","LangChain","Semantic Kernel","Azure AI Foundry","Azure Machine Learning","Azure OpenAI","Azure AI Search","AWS AI Services","Kubernetes",{"rag":69,"llms":69,"mlops":69,"llmops":69,"agentic ai":69,"statistics":69,"probability":69,"optimization":69,"transformers":69,"deep learning":69,"generative ai":69,"responsible ai":69,"capital markets":29,"experimentation":69,"machine learning":69,"model evaluation":69,"model governance":69,"financial services":29,"product management":29,"project management":29},[227,254,255,256,257,258,259,45,44,90,260,261,262,263,264,265,266,267,268,229],"Deep Learning","LLMs","Generative AI","RAG","Agentic AI","Transformers","Experimentation","MLOps","LLMOps","Model Evaluation","Model Governance","Responsible AI","Financial Services","Capital Markets","Product Management",{"id":270,"slug":271,"title":272,"raw_title":11,"is_featured":12,"company":273,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":276,"processed_country_iso_code_gmaps":278,"processed_home_office":129,"processed_salary_min":279,"processed_salary_max":110,"processed_salary_currency":66,"processed_salary_source":23,"processed_working_hours":280,"processed_employment_types":26,"processed_it_skills":281,"processed_it_skills_labels":282,"processed_job_expertise_skills":284,"processed_job_expertise_skills_labels":285,"max_cpc":52,"actual_cpc":52},49348,"model-validationcounterparty-credit-risk-mufg-global-service-private-limited","Model Validation_Counterparty Credit Risk",{"name":274,"slug":275,"logo_url":11},"MUFG Global Service Private Limited","mufg-global-service-private-limited",[277],"Bengaluru",[63],1500000,[25],{"r":29,"c++":29,"python":69},[36,71,283],"R",{"statistics":69,"xva models":69,"probability":69,"model validation":69,"derivative pricing":69,"stochastic calculus":69,"quantitative finance":69,"monte carlo simulation":69,"counterparty credit risk":69,"regulatory capital models":69,"netting and collateral modeling":69},[286,287,288,289,290,291,292,169,293,45,44],"Model Validation","Counterparty Credit Risk","XVA Models","Monte Carlo Simulation","Netting and Collateral Modeling","Regulatory Capital Models","Derivative Pricing","Quantitative Finance",{"id":295,"slug":296,"title":297,"raw_title":11,"is_featured":12,"company":298,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":301,"processed_country_iso_code_gmaps":303,"processed_home_office":129,"processed_salary_min":305,"processed_salary_max":306,"processed_salary_currency":307,"processed_salary_source":23,"processed_working_hours":308,"processed_employment_types":26,"processed_it_skills":309,"processed_it_skills_labels":310,"processed_job_expertise_skills":313,"processed_job_expertise_skills_labels":314,"max_cpc":52,"actual_cpc":52},59442,"senior-data-scientist-chn020-refinitiv-information-services-china-co-ltd-shenzhen-branch","Senior Data Scientist",{"name":299,"slug":300,"logo_url":11},"Refinitiv Information Services (China) Co., Ltd. - Shenzhen Branch","refinitiv-information-services-china-co-ltd-shenzhen-branch",[302],"Shenzhen",[304],"CN",600000,900000,"CNY",[25],{"r":29,"aws":29,"git":29,"sql":29,"azure":29,"python":69,"pytorch":69,"tensorflow":69,"scikit-learn":69},[36,35,217,218,311,312,221,220,283],"Scikit-learn","Git",{"ci\u002Fcd":29,"mlops":29,"scraping":29,"probability":69,"web crawling":29,"deep learning":69,"data analytics":69,"financial data":29,"product vision":29,"data management":29,"coding standards":29,"entity extraction":29,"applied statistics":69,"prompt engineering":69,"feature engineering":69,"predictive modeling":69,"statistical analysis":69,"evaluation frameworks":29,"large language models":69,"natural language processing":69,"retrieval-augmented generation":69},[315,316,254,317,318,319,320,321,226,44,322,261,222,323,324,325,326,327,328,230,329],"Data Analytics","Natural Language Processing","Large Language Models","Prompt Engineering","Retrieval-Augmented Generation","Feature Engineering","Predictive Modeling","Applied Statistics","Web Crawling","Scraping","Entity Extraction","Data Management","Financial Data","Product Vision","Evaluation Frameworks",{"id":331,"slug":332,"title":297,"raw_title":11,"is_featured":12,"company":333,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":336,"processed_country_iso_code_gmaps":338,"processed_home_office":129,"processed_salary_min":211,"processed_salary_max":212,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":340,"processed_employment_types":26,"processed_it_skills":341,"processed_it_skills_labels":342,"processed_job_expertise_skills":343,"processed_job_expertise_skills_labels":344,"max_cpc":52,"actual_cpc":52},59970,"senior-data-scientist-phl006-refinitiv-asia-pte-ltd-philippine-branch-2",{"name":334,"slug":335,"logo_url":11},"Refinitiv Asia Pte. Ltd. Philippine Branch","refinitiv-asia-pte-ltd-philippine-branch",[337],"Taguig",[339],"PH",[25],{"r":29,"aws":69,"git":29,"sql":29,"azure":29,"ci\u002Fcd":29,"python":69,"pytorch":69,"tensorflow":69,"scikit-learn":69},[36,283,35,217,218,311,312,222,221,220],{"nlp":69,"rag":69,"llms":69,"mlops":29,"scraping":29,"probability":69,"web crawling":29,"data analytics":69,"financial data":29,"product vision":29,"cloud platforms":69,"data management":29,"data processing":29,"coding standards":29,"entity extraction":29,"applied statistics":69,"feature engineering":69,"predictive modelling":69,"statistical analysis":69,"evaluation frameworks":29},[315,320,345,346,255,257,226,44,322,261,326,323,324,325,347,327,328,230,329,348],"NLP","Predictive Modelling","Data Processing","Cloud Platforms",{"id":350,"slug":351,"title":352,"raw_title":11,"is_featured":12,"company":353,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":354,"processed_country_iso_code_gmaps":355,"processed_home_office":129,"processed_salary_min":238,"processed_salary_max":239,"processed_salary_currency":132,"processed_salary_source":23,"processed_working_hours":356,"processed_employment_types":26,"processed_it_skills":357,"processed_it_skills_labels":358,"processed_job_expertise_skills":363,"processed_job_expertise_skills_labels":364,"max_cpc":52,"actual_cpc":368},59540,"principal-applied-data-scientist-gbr006-refinitiv-limited","Principal Applied Data Scientist",{"name":205,"slug":206,"logo_url":11},[208],[210],[25],{"aws":69,"azure":69,"ci\u002Fcd":29,"python":69,"pytorch":69,"monitoring":29,"tensorflow":69,"typescript":29,"scikit-learn":69,"version control":29,"automated testing":29},[36,218,217,219,359,220,221,222,360,361,362],"TypeScript","Version Control","Automated Testing","Monitoring",{"nlp":69,"llms":69,"devops":29,"probability":69,"model deployment":69,"model evaluation":69,"statistical modeling":69,"object-oriented design":69},[345,255,365,44,366,263,367,223],"Statistical Modeling","Model Deployment","Object-Oriented Design",0.5,{"industry":370,"employment_type":395,"expertise_skills":401,"it_skills":455,"salary_currency":515,"processed_working_hours":521},[371,375,378,381,383,386,389,392],{"key":372,"label":373,"count":374},"financial markets infrastructure","Financial Markets Infrastructure",5,{"key":376,"label":377,"count":29},"data","Data",{"key":379,"label":380,"count":29},"insurance","Insurance",{"key":382,"label":266,"count":29},"financial services",{"key":384,"label":385,"count":28},"data provider","Data Provider",{"key":387,"label":388,"count":28},"banking","Banking",{"key":390,"label":391,"count":52},"asset management","Asset Management",{"key":393,"label":394,"count":52},"investment banking","Investment Banking",[396,399],{"key":26,"label":397,"count":398},"PERMANENT",11,{"key":189,"label":400,"count":52},"STUDENT",[402,404,407,409,411,413,416,418,421,423,425,427,429,431,433,435,437,439,441,444,447,449,451,453],{"key":403,"label":44,"slug":403,"count":5},"probability",{"key":405,"label":45,"slug":405,"count":406},"statistics",6,{"key":408,"label":230,"slug":408,"count":29},"coding-standards",{"key":410,"label":226,"slug":410,"count":29},"statistical-analysis",{"key":412,"label":139,"slug":412,"count":29},"financial-mathematics",{"key":414,"label":415,"slug":414,"count":29},"llms","Llms",{"key":417,"label":76,"slug":417,"count":29},"quantitative-analytics",{"key":419,"label":420,"slug":419,"count":29},"mlops","Mlops",{"key":422,"label":90,"slug":422,"count":29},"optimization",{"key":424,"label":96,"slug":424,"count":29},"automation",{"key":426,"label":85,"slug":426,"count":29},"data-analysis",{"key":428,"label":86,"slug":428,"count":28},"data-validation",{"key":430,"label":169,"slug":430,"count":28},"stochastic-calculus",{"key":432,"label":254,"slug":432,"count":28},"deep-learning",{"key":434,"label":78,"slug":434,"count":28},"capital-management",{"key":436,"label":84,"slug":436,"count":28},"scenario-analysis",{"key":438,"label":324,"slug":438,"count":28},"scraping",{"key":440,"label":99,"slug":440,"count":28},"testing",{"key":442,"label":443,"slug":442,"count":28},"project-management","Project management",{"key":445,"label":446,"slug":445,"count":28},"rag","Rag",{"key":448,"label":328,"slug":448,"count":28},"product-vision",{"key":450,"label":315,"slug":450,"count":28},"data-analytics",{"key":452,"label":322,"slug":452,"count":28},"applied-statistics",{"key":454,"label":80,"slug":454,"count":28},"risk-weighted-assets",[456,458,461,464,466,468,471,473,476,479,481,484,486,489,491,494,496,499,502,504,506,509,511,513],{"key":457,"label":36,"slug":457,"count":398},"python",{"key":459,"label":460,"slug":459,"count":374},"pytorch","Pytorch",{"key":462,"label":463,"slug":462,"count":374},"tensorflow","Tensorflow",{"key":465,"label":219,"slug":465,"count":374},"scikit-learn",{"key":467,"label":35,"slug":467,"count":374},"sql",{"key":469,"label":470,"slug":469,"count":69},"cicd","Ci\u002FCd",{"key":472,"label":71,"slug":472,"count":69},"c",{"key":474,"label":475,"slug":474,"count":69},"aws","Aws",{"key":477,"label":478,"slug":477,"count":69},"ms-azure","MS Azure",{"key":480,"label":283,"slug":480,"count":29},"r",{"key":482,"label":483,"slug":482,"count":28},"devops","Devops",{"key":485,"label":72,"slug":485,"count":28},"oracle",{"key":487,"label":488,"slug":487,"count":28},"mysql","Mysql",{"key":490,"label":312,"slug":490,"count":28},"git",{"key":492,"label":493,"slug":492,"count":28},"ai-tools","Ai Tools",{"key":495,"label":362,"slug":495,"count":52},"monitoring",{"key":497,"label":498,"slug":497,"count":52},"ms-powerbi","MS PowerBI",{"key":500,"label":501,"slug":500,"count":52},"product-management-tools","Product Management Tools",{"key":503,"label":245,"slug":503,"count":52},"semantic-kernel",{"key":505,"label":192,"slug":505,"count":52},"software-development",{"key":507,"label":508,"slug":507,"count":52},"typescript","Typescript",{"key":510,"label":360,"slug":510,"count":52},"version-control",{"key":512,"label":193,"slug":512,"count":52},"artificial-intelligence-tools",{"key":514,"label":361,"slug":514,"count":52},"automated-testing",[516,517,518,519,520],{"key":22,"label":22,"count":69},{"key":132,"label":132,"count":29},{"key":66,"label":66,"count":29},{"key":307,"label":307,"count":52},{"key":213,"label":213,"count":52},[522],{"key":25,"label":25,"count":5},{"total":52,"jobs":524},[525],{"id":526,"slug":527,"title":528,"raw_title":11,"is_featured":529,"company":530,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":534,"processed_country_iso_code_gmaps":536,"processed_home_office":538,"processed_salary_min":539,"processed_salary_max":540,"processed_salary_currency":132,"processed_salary_source":11,"processed_working_hours":541,"processed_employment_types":397,"processed_it_skills":543,"processed_it_skills_labels":11,"processed_job_expertise_skills":544,"processed_job_expertise_skills_labels":545,"max_cpc":552,"actual_cpc":11},52265,"privatkundenbetreuer-mwd-banking-frankfurt-am-main-white-horse-international-gmbh","Privatkundenbetreuer (m\u002Fw\u002Fd) – Banking | Frankfurt am Main",true,{"name":531,"slug":532,"logo_url":533},"White Horse International GmbH","white-horse-international-gmbh","https:\u002F\u002Fwhitehorse-international.com\u002Fwp-content\u002Fuploads\u002F2022\u002F03\u002Fwhite-horse-logo-final-gif.gif",[535],"Frankfurt am Main",[537],"DE","HYBRID",45000,65000,[542],"full_time",{},{"Financial Analysis":29,"Regulatory Compliance":29,"New Customer Acquisition":29,"Private Banking Advisory":29,"Banking Products Knowledge":29,"Customer Relationship Management":29},[546,547,548,549,550,551],"Private Banking Advisory","Financial Analysis","Banking Products Knowledge","Regulatory Compliance","Customer Relationship Management","New Customer Acquisition",0.8]