[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-expertise-glm-global":3,"job-search-\u002Fde-global\u002Fjobs-by-expertise\u002Fglm":4,"expertise-filters-\u002Fde-global\u002Fjobs-by-expertise\u002Fglm":197,"featured-jobs-\u002Fde-global\u002Fjobs-by-expertise\u002Fglm":330},{},{"total":5,"jobs":6},6,[7,68,104,123,147,174],{"id":8,"slug":9,"title":10,"raw_title":11,"is_featured":12,"company":13,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":17,"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":67,"actual_cpc":67},87130,"data-analytics-sr-leader-banco-santander-brasil-sa","Data & Analytics Sr Leader",null,false,{"name":14,"slug":15,"logo_url":16},"Banco Santander (Brasil) S.A.","banco-santander-brasil-sa","\u002Fimages\u002Flogos\u002Fsantander-logo-2018.svg",[],[19],"BR","onsite",240000,360000,"BRL","estimated",[26],"FULL_TIME","permanent",{"git":29,"sql":30,"numpy":30,"spark":30,"pandas":30,"python":30,"pyspark":30,"databricks":30,"scikit-learn":30},3,4,[32,33,34,35,36,37,38,39,40],"Python","SQL","Spark","PySpark","Databricks","Git","Pandas","NumPy","Scikit-Learn",{"gam":30,"glm":30,"ifrs 9":30,"pd modeling":30,"ead modeling":30,"lgd modeling":30,"stress testing":30,"machine learning":30,"model monitoring":30,"model validation":30,"stage allocation":30,"survival analysis":30,"people development":30,"project management":30,"agile methodologies":30,"logistic regression":30,"regulatory modeling":30,"resolução cmn 4.966":30,"credit risk management":30,"expected credit loss (ecl)":30,"generative ai (genai and llms)":30,"audit and regulatory compliance":30,"backtesting and model calibration":30,"applied statistics for risk modeling":30},[43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66],"IFRS 9","Resolução CMN 4.966","PD Modeling","LGD Modeling","EAD Modeling","Expected Credit Loss (ECL)","Stage Allocation","Stress Testing","Applied Statistics for Risk Modeling","Logistic Regression","Survival Analysis","GLM","GAM","Backtesting and Model Calibration","Machine Learning","Generative AI (GenAI and LLMs)","Credit Risk Management","Regulatory Modeling","Model Validation","Model Monitoring","Audit and Regulatory Compliance","Agile Methodologies","Project Management","People Development",1,{"id":69,"slug":70,"title":71,"raw_title":11,"is_featured":12,"company":72,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":76,"processed_country_iso_code_gmaps":79,"processed_home_office":20,"processed_salary_min":81,"processed_salary_max":82,"processed_salary_currency":83,"processed_salary_source":24,"processed_working_hours":84,"processed_employment_types":27,"processed_it_skills":85,"processed_it_skills_labels":87,"processed_job_expertise_skills":94,"processed_job_expertise_skills_labels":95,"max_cpc":67,"actual_cpc":67},71101,"motor-pricing-actuary-allianz-insurance-3","MOTOR PRICING ACTUARY",{"name":73,"slug":74,"logo_url":75},"Allianz Insurance","allianz-insurance","https:\u002F\u002Fcdn.phenompeople.com\u002FCareerConnectResources\u002FAISAIPGB\u002Fimages\u002FHeader-1706868786965.svg",[77,78],"TRIESTE","Milan",[80],"IT",35000,40000,"EUR",[26],{"sas":29,"vba":29,"excel":29,"radar":86,"emblem":86,"python":29,"classifier":86},2,[88,32,89,90,91,92,93],"SAS","Excel","VBA","Emblem","Radar","Classifier",{"glm":30,"motor pricing":30,"machine learning":30,"scenario testing":29,"tariff development":30,"predictive modeling":30,"statistical analysis":30,"technical documentation":29,"fleets and automotive quotes":29,"data collection and preparation":29},[96,97,98,54,57,99,100,101,102,103],"Motor Pricing","Predictive Modeling","Statistical Analysis","Tariff Development","Scenario Testing","Fleets and Automotive Quotes","Data Collection and Preparation","Technical Documentation",{"id":105,"slug":106,"title":107,"raw_title":11,"is_featured":12,"company":108,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":109,"processed_country_iso_code_gmaps":110,"processed_home_office":20,"processed_salary_min":111,"processed_salary_max":112,"processed_salary_currency":83,"processed_salary_source":24,"processed_working_hours":113,"processed_employment_types":27,"processed_it_skills":114,"processed_it_skills_labels":115,"processed_job_expertise_skills":116,"processed_job_expertise_skills_labels":117,"max_cpc":67,"actual_cpc":67},71109,"senior-motor-pricing-actuary-allianz-insurance","SENIOR MOTOR PRICING ACTUARY",{"name":73,"slug":74,"logo_url":75},[77,78],[80],45000,50000,[26],{"sas":30,"vba":29,"excel":30,"radar":29,"emblem":29,"python":30,"classifier":29},[88,32,89,90,91,92,93],{"glm":30,"fleet quoting":29,"motor pricing":30,"data collection":30,"data preparation":30,"machine learning":30,"scenario testing":30,"actuarial science":30,"automotive quoting":29,"tariff development":30,"predictive modeling":30,"statistical analysis":30,"technical documentation":29},[96,118,97,98,54,57,99,119,120,121,122,100,103],"Actuarial Science","Fleet Quoting","Automotive Quoting","Data Collection","Data Preparation",{"id":124,"slug":125,"title":126,"raw_title":11,"is_featured":12,"company":127,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":128,"processed_country_iso_code_gmaps":130,"processed_home_office":132,"processed_salary_min":133,"processed_salary_max":134,"processed_salary_currency":135,"processed_salary_source":24,"processed_working_hours":136,"processed_employment_types":27,"processed_it_skills":137,"processed_it_skills_labels":138,"processed_job_expertise_skills":139,"processed_job_expertise_skills_labels":140,"max_cpc":67,"actual_cpc":67},46053,"principal-technical-pricing-analyst-allianz-insurance-4","Principal Technical Pricing Analyst",{"name":73,"slug":74,"logo_url":75},[129],"London",[131],"GB","hybrid",70000,90000,"GBP",[26],{"sql":30,"excel":30,"python":30,"databricks":30},[32,33,36,89],{"gbm":30,"glm":30,"radar":30,"emblem":30,"back testing":30,"data analysis":30,"pricing models":30,"machine learning":30,"technical pricing":30,"statistical modelling":30},[141,54,57,142,143,144,145,146,92,91],"Statistical Modelling","GBM","Data Analysis","Pricing Models","Back Testing","Technical Pricing",{"id":148,"slug":149,"title":150,"raw_title":11,"is_featured":12,"company":151,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":154,"processed_country_iso_code_gmaps":156,"processed_home_office":20,"processed_salary_min":112,"processed_salary_max":133,"processed_salary_currency":158,"processed_salary_source":24,"processed_working_hours":159,"processed_employment_types":27,"processed_it_skills":160,"processed_it_skills_labels":161,"processed_job_expertise_skills":166,"processed_job_expertise_skills_labels":167,"max_cpc":67,"actual_cpc":67},67208,"senior-software-engineerdata-scientist-hartford-global-services-private-limited","Senior Software Engineer\u002FData Scientist",{"name":152,"slug":153,"logo_url":11},"Hartford Global Services Private Limited","hartford-global-services-private-limited",[155],"Hyderabad",[157],"IN","USD",[26],{"git":29,"sql":29,"mlflow":86,"python":30,"azure ml":86,"sagemaker":86,"vertex ai":86},[32,33,37,162,163,164,165],"MLflow","Vertex AI","SageMaker","Azure ML",{"gbm":30,"glm":30,"a\u002Fb testing":29,"documentation":29,"data validation":29,"machine learning":30,"model evaluation":30,"model monitoring":29,"vendor management":29,"statistical modeling":30},[168,57,54,142,169,170,171,172,62,173],"Statistical Modeling","Model Evaluation","Data Validation","Vendor Management","A\u002FB Testing","Documentation",{"id":175,"slug":176,"title":177,"raw_title":11,"is_featured":12,"company":178,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":181,"processed_country_iso_code_gmaps":182,"processed_home_office":20,"processed_salary_min":134,"processed_salary_max":183,"processed_salary_currency":135,"processed_salary_source":24,"processed_working_hours":184,"processed_employment_types":27,"processed_it_skills":185,"processed_it_skills_labels":186,"processed_job_expertise_skills":190,"processed_job_expertise_skills_labels":191,"max_cpc":67,"actual_cpc":196},52787,"data-science-manager-14101-arch-europe-insurance-services-ltd","Data Science Manager",{"name":179,"slug":180,"logo_url":11},"Arch Europe Insurance Services Ltd","arch-europe-insurance-services-ltd",[129],[131],130000,[26],{"sql":30,"azure":29,"python":30,"powerbi":29,"snowflake":29,"databricks":29},[32,33,187,36,188,189],"PowerBI","Snowflake","Azure",{"gbm":30,"glm":30,"data mining":30,"machine learning":30,"project management":29,"predictive modeling":30,"london market experience":30,"natural language processing":30,"insurance industry knowledge":30},[97,57,192,54,142,193,65,194,195],"Natural Language Processing","Data Mining","Insurance Industry Knowledge","London Market Experience",0.5,{"industry":198,"employment_type":206,"expertise_skills":209,"it_skills":268,"salary_currency":323,"processed_working_hours":328},[199,203],{"key":200,"label":201,"count":202},"insurance","Insurance",5,{"key":204,"label":205,"count":67},"banking","Banking",[207],{"key":27,"label":208,"count":5},"PERMANENT",[210,212,215,217,220,222,224,226,229,231,233,235,238,240,242,244,246,249,251,254,256,259,262,265],{"key":211,"label":57,"slug":211,"count":5},"machine-learning",{"key":213,"label":214,"slug":213,"count":5},"glm","Glm",{"key":216,"label":97,"slug":216,"count":29},"predictive-modeling",{"key":218,"label":219,"slug":218,"count":29},"gbm","Gbm",{"key":221,"label":96,"slug":221,"count":86},"motor-pricing",{"key":223,"label":99,"slug":223,"count":86},"tariff-development",{"key":225,"label":103,"slug":225,"count":86},"technical-documentation",{"key":227,"label":228,"slug":227,"count":86},"project-management","Project management",{"key":230,"label":62,"slug":230,"count":86},"model-monitoring",{"key":232,"label":98,"slug":232,"count":86},"statistical-analysis",{"key":234,"label":100,"slug":234,"count":86},"scenario-testing",{"key":236,"label":237,"slug":236,"count":67},"data-collection-and-preparation","Data Collection And Preparation",{"key":239,"label":193,"slug":239,"count":67},"data-mining",{"key":241,"label":122,"slug":241,"count":67},"data-preparation",{"key":243,"label":170,"slug":243,"count":67},"data-validation",{"key":245,"label":173,"slug":245,"count":67},"documentation",{"key":247,"label":248,"slug":247,"count":67},"ead-modeling","Ead Modeling",{"key":250,"label":91,"slug":250,"count":67},"emblem",{"key":252,"label":253,"slug":252,"count":67},"expected-credit-loss-ecl","Expected Credit Loss (Ecl)",{"key":255,"label":119,"slug":255,"count":67},"fleet-quoting",{"key":257,"label":258,"slug":257,"count":67},"fleets-and-automotive-quotes","Fleets And Automotive Quotes",{"key":260,"label":261,"slug":260,"count":67},"gam","Gam",{"key":263,"label":264,"slug":263,"count":67},"generative-ai-genai-and-llms","Generative Ai (Genai And Llms)",{"key":266,"label":267,"slug":266,"count":67},"ifrs-9","Ifrs 9",[269,271,273,276,278,279,282,284,286,288,291,293,296,299,302,305,308,310,313,316,319,321],{"key":270,"label":32,"slug":270,"count":5},"python",{"key":272,"label":33,"slug":272,"count":30},"sql",{"key":274,"label":275,"slug":274,"count":29},"ms-excel","MS Excel",{"key":277,"label":36,"slug":277,"count":29},"databricks",{"key":250,"label":91,"slug":250,"count":86},{"key":280,"label":281,"slug":280,"count":86},"vba","Vba",{"key":283,"label":37,"slug":283,"count":86},"git",{"key":285,"label":92,"slug":285,"count":86},"radar",{"key":287,"label":93,"slug":287,"count":86},"classifier",{"key":289,"label":290,"slug":289,"count":86},"sas","Sas",{"key":292,"label":34,"slug":292,"count":67},"spark",{"key":294,"label":295,"slug":294,"count":67},"ms-azure","MS Azure",{"key":297,"label":298,"slug":297,"count":67},"vertex-ai","Vertex Ai",{"key":300,"label":301,"slug":300,"count":67},"azure-ml","Azure Ml",{"key":303,"label":304,"slug":303,"count":67},"mlflow","Mlflow",{"key":306,"label":307,"slug":306,"count":67},"numpy","Numpy",{"key":309,"label":38,"slug":309,"count":67},"pandas",{"key":311,"label":312,"slug":311,"count":67},"ms-powerbi","MS PowerBI",{"key":314,"label":315,"slug":314,"count":67},"pyspark","Pyspark",{"key":317,"label":318,"slug":317,"count":67},"sagemaker","Sagemaker",{"key":320,"label":40,"slug":320,"count":67},"scikit-learn",{"key":322,"label":188,"slug":322,"count":67},"snowflake",[324,325,326,327],{"key":83,"label":83,"count":86},{"key":135,"label":135,"count":86},{"key":23,"label":23,"count":67},{"key":158,"label":158,"count":67},[329],{"key":26,"label":26,"count":5},{"total":67,"jobs":331},[332],{"id":333,"slug":334,"title":335,"raw_title":11,"is_featured":336,"company":337,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":341,"processed_country_iso_code_gmaps":343,"processed_home_office":345,"processed_salary_min":111,"processed_salary_max":346,"processed_salary_currency":83,"processed_salary_source":11,"processed_working_hours":347,"processed_employment_types":208,"processed_it_skills":349,"processed_it_skills_labels":11,"processed_job_expertise_skills":350,"processed_job_expertise_skills_labels":351,"max_cpc":358,"actual_cpc":11},52265,"privatkundenbetreuer-mwd-banking-frankfurt-am-main-white-horse-international-gmbh","Privatkundenbetreuer (m\u002Fw\u002Fd) – Banking | Frankfurt am Main",true,{"name":338,"slug":339,"logo_url":340},"White Horse International GmbH","white-horse-international-gmbh","https:\u002F\u002Fwhitehorse-international.com\u002Fwp-content\u002Fuploads\u002F2022\u002F03\u002Fwhite-horse-logo-final-gif.gif",[342],"Frankfurt am Main",[344],"DE","HYBRID",65000,[348],"full_time",{},{"Financial Analysis":29,"Regulatory Compliance":29,"New Customer Acquisition":29,"Private Banking Advisory":29,"Banking Products Knowledge":29,"Customer Relationship Management":29},[352,353,354,355,356,357],"Private Banking Advisory","Financial Analysis","Banking Products Knowledge","Regulatory Compliance","Customer Relationship Management","New Customer Acquisition",0.8]