[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-expertise-statistical-modelling-global":3,"job-search-\u002Fde-global\u002Fjobs-by-expertise\u002Fstatistical-modelling":4,"expertise-filters-\u002Fde-global\u002Fjobs-by-expertise\u002Fstatistical-modelling":488,"featured-jobs-\u002Fde-global\u002Fjobs-by-expertise\u002Fstatistical-modelling":645},{},{"total":5,"jobs":6},15,[7,65,102,131,172,208,234,281,309,342,358,391,421,445,464],{"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":32,"processed_job_expertise_skills":47,"processed_job_expertise_skills_labels":48,"max_cpc":64,"actual_cpc":64},84440,"team-lead-gre-operations-invesco-india-private-limited-sez-unit","Team Lead - GRE Operations",null,false,{"name":14,"slug":15,"logo_url":11},"Invesco (India) Private Limited - SEZ Unit","invesco-india-private-limited-sez-unit",[17],"Hyderabad",[19],"IN","hybrid",3000000,5000000,"INR","estimated",[26],"FULL_TIME","permanent",{"r":29,"etl":29,"gis":29,"sql":30,"apis":29,"excel":31,"pandas":29,"python":30,"alteryx":29,"tableau":29,"power bi":30,"powerpoint":30,"power query":29,"machine learning":29},2,3,4,[33,34,35,36,37,38,39,40,41,42,43,44,45,46],"Power BI","Python","SQL","Excel","PowerPoint","GIS","Tableau","R","Machine Learning","Alteryx","Power Query","Pandas","APIs","ETL",{"compliance":31,"forecasting":31,"econometrics":31,"data analytics":31,"data governance":31,"data management":31,"client reporting":31,"process improvement":31,"strategic analytics":31,"real estate research":31,"statistical modelling":31,"operational excellence":31,"gis & spatial analytics":31,"marketing presentations":31,"risk & escalation management":31},[49,50,51,52,53,54,55,56,57,58,59,60,61,62,63],"Strategic Analytics","Real Estate Research","Data Analytics","Forecasting","Marketing Presentations","Compliance","Statistical Modelling","Econometrics","Data Management","Data Governance","GIS & Spatial Analytics","Client Reporting","Operational Excellence","Process Improvement","Risk & Escalation Management",1,{"id":66,"slug":67,"title":68,"raw_title":11,"is_featured":12,"company":69,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":73,"processed_country_iso_code_gmaps":80,"processed_home_office":20,"processed_salary_min":82,"processed_salary_max":83,"processed_salary_currency":84,"processed_salary_source":24,"processed_working_hours":85,"processed_employment_types":27,"processed_it_skills":86,"processed_it_skills_labels":87,"processed_job_expertise_skills":92,"processed_job_expertise_skills_labels":93,"max_cpc":64,"actual_cpc":64},81513,"principal-technical-pricing-analyst-allianz-insurance-5","Principal Technical Pricing Analyst",{"name":70,"slug":71,"logo_url":72},"Allianz Insurance","allianz-insurance","https:\u002F\u002Fcdn.phenompeople.com\u002FCareerConnectResources\u002FAISAIPGB\u002Fimages\u002FHeader-1706868786965.svg",[74,75,76,77,78,79],"London","Guildford","Bournemouth","Birmingham","Bristol","Manchester",[81],"GB",60000,90000,"GBP",[26],{"sql":30,"python":30,"databricks":30,"wtw's radar":30,"wtw's emblem":30,"advanced excel":30},[88,34,35,89,90,91],"Advanced Excel","Databricks","WTW's Radar","WTW's Emblem",{"back testing":31,"responsible ai":29,"machine learning":31,"technical pricing":31,"credibility theory":30,"large data sources":31,"project management":30,"statistical modelling":31,"generalized linear models (glms)":31,"gradient boosting machines (gbms)":31},[55,94,41,95,96,97,98,99,100,101],"Generalized Linear Models (GLMs)","Gradient Boosting Machines (GBMs)","Large Data Sources","Technical Pricing","Back Testing","Project Management","Credibility Theory","Responsible AI",{"id":103,"slug":104,"title":105,"raw_title":11,"is_featured":12,"company":106,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":107,"processed_country_iso_code_gmaps":109,"processed_home_office":20,"processed_salary_min":111,"processed_salary_max":112,"processed_salary_currency":113,"processed_salary_source":24,"processed_working_hours":114,"processed_employment_types":115,"processed_it_skills":116,"processed_it_skills_labels":117,"processed_job_expertise_skills":120,"processed_job_expertise_skills_labels":121,"max_cpc":64,"actual_cpc":64},81550,"intern-pricing-allianz-insurance","Intern-Pricing",{"name":70,"slug":71,"logo_url":72},[108],"Dublin",[110],"IE",30000,40000,"EUR",[26],"student",{"r":29,"sql":29,"vba":29,"excel":30,"python":29,"power bi":29,"generative ai platforms":29},[36,118,35,34,40,33,119],"VBA","Generative AI Platforms",{"data analysis":30,"data security":29,"data governance":29,"machine learning":29,"pricing strategy":30,"actuarial analysis":30,"report development":30,"presentation skills":30,"statistical modelling":30,"business case analysis":30,"stakeholder management":30,"premium rate determination":30},[122,123,124,55,41,125,126,127,58,128,129,130],"Actuarial Analysis","Pricing Strategy","Data Analysis","Report Development","Business Case Analysis","Premium Rate Determination","Data Security","Stakeholder Management","Presentation Skills",{"id":132,"slug":133,"title":134,"raw_title":11,"is_featured":12,"company":135,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":138,"processed_country_iso_code_gmaps":139,"processed_home_office":140,"processed_salary_min":141,"processed_salary_max":21,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":142,"processed_employment_types":27,"processed_it_skills":143,"processed_it_skills_labels":144,"processed_job_expertise_skills":160,"processed_job_expertise_skills_labels":161,"max_cpc":64,"actual_cpc":64},78796,"data-ai-engineering-professionals-data-engineering-analytics-aiml-reliability-engineering-hartford-global-services-private-limited","Data & AI Engineering Professionals (Data Engineering, Analytics, AI\u002FML & Reliability Engineering)",{"name":136,"slug":137,"logo_url":11},"Hartford Global Services Private Limited","hartford-global-services-private-limited",[17],[19],"onsite",800000,[26],{"aws":30,"emr":30,"gcp":30,"rag":30,"sql":30,"sre":30,"hadoop":30,"python":30,"etl\u002Felt":30,"fastapi":30,"pyspark":30,"pytorch":30,"snowflake":30,"terraform":30,"vertex ai":30,"databricks":30,"informatica":30,"scikit-learn":30},[145,146,89,147,148,149,150,151,35,34,152,153,154,155,156,157,158,159],"PySpark","Snowflake","ETL\u002FELT","GCP","AWS","RAG","Vertex AI","SRE","Informatica","EMR","Hadoop","FastAPI","Scikit-learn","PyTorch","Terraform",{"ai\u002Fml":30,"applied ai":30,"data analysis":30,"generative ai":30,"ml\u002Fai platforms":30,"data engineering":30,"data reliability":30,"machine learning":30,"big data platforms":30,"agentic ai solutions":30,"statistical modelling":30,"platform administration":30,"site reliability engineering":30},[162,124,163,164,165,166,167,168,169,55,41,170,171],"Data Engineering","Data Reliability","Big Data Platforms","Platform Administration","AI\u002FML","Generative AI","Agentic AI Solutions","Applied AI","Site Reliability Engineering","ML\u002FAI Platforms",{"id":173,"slug":174,"title":175,"raw_title":11,"is_featured":12,"company":176,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":179,"processed_country_iso_code_gmaps":180,"processed_home_office":140,"processed_salary_min":82,"processed_salary_max":83,"processed_salary_currency":182,"processed_salary_source":24,"processed_working_hours":183,"processed_employment_types":27,"processed_it_skills":184,"processed_it_skills_labels":185,"processed_job_expertise_skills":199,"processed_job_expertise_skills_labels":200,"max_cpc":64,"actual_cpc":64},76444,"data-analytics-support-specialist-global-commercial-banking-ocbc-bank","Data Analytics Support Specialist (Global Commercial Banking)",{"name":177,"slug":178,"logo_url":11},"OCBC Bank","ocbc-bank",[],[181],"SG","SGD",[26],{"sas":30,"sql":30,"pega":30,"unica":30,"oracle":30,"python":30,"siebel":30,"tableau":30,"power bi":30,"qlikview":30,"teradata":30,"bitbucket":29,"salesforce":30,"adobe analytics":30,"cloudera hadoop":30,"google analytics":30,"cloudera machine learning":29},[34,35,186,187,188,189,33,39,190,191,192,193,194,195,196,197,198],"Oracle","Teradata","Cloudera Hadoop","QlikView","SAS","Unica","Adobe Analytics","Google Analytics","Salesforce","Siebel","Pega","Bitbucket","Cloudera Machine Learning",{"data analytics":31,"machine learning":30,"banking knowledge":30,"data visualization":30,"campaign management":30,"statistical modelling":30,"corporate banking services":30,"digital marketing tracking":30,"customer relationship management":30,"direct marketing experiment design":30},[51,41,55,201,202,203,204,205,206,207],"Data Visualization","Campaign Management","Direct Marketing Experiment Design","Customer Relationship Management","Digital Marketing Tracking","Banking Knowledge","Corporate Banking Services",{"id":209,"slug":210,"title":211,"raw_title":11,"is_featured":12,"company":212,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":215,"processed_country_iso_code_gmaps":216,"processed_home_office":20,"processed_salary_min":217,"processed_salary_max":218,"processed_salary_currency":84,"processed_salary_source":24,"processed_working_hours":219,"processed_employment_types":27,"processed_it_skills":220,"processed_it_skills_labels":221,"processed_job_expertise_skills":223,"processed_job_expertise_skills_labels":224,"max_cpc":64,"actual_cpc":64},75285,"model-validation-senior-actuary-prudential-uk-services-ltd","Model Validation Senior Actuary",{"name":213,"slug":214,"logo_url":11},"Prudential UK Services Ltd","prudential-uk-services-ltd",[74],[81],70000,100000,[26],{"r":30,"python":30,"powerbi":30},[34,222,40],"PowerBI",{"compliance":30,"solvency ii":31,"solvency uk":31,"risk governance":31,"model validation":31,"project management":30,"actuarial modelling":31,"internal model design":31,"model risk management":31,"statistical modelling":31,"risk framework development":31,"financial services regulations":31},[225,55,226,227,228,229,230,231,232,233,99,54],"Actuarial Modelling","Model Validation","Model Risk Management","Risk Governance","Financial Services Regulations","Internal Model Design","Solvency II","Solvency UK","Risk Framework Development",{"id":235,"slug":236,"title":237,"raw_title":11,"is_featured":12,"company":238,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":241,"processed_country_iso_code_gmaps":243,"processed_home_office":140,"processed_salary_min":245,"processed_salary_max":246,"processed_salary_currency":247,"processed_salary_source":24,"processed_working_hours":248,"processed_employment_types":27,"processed_it_skills":249,"processed_it_skills_labels":250,"processed_job_expertise_skills":257,"processed_job_expertise_skills_labels":258,"max_cpc":64,"actual_cpc":64},72875,"lead-data-scientist-ecl-modelling-gx-bank-berhad","Lead Data Scientist (ECL Modelling)",{"name":239,"slug":240,"logo_url":11},"GX Bank Berhad","gx-bank-berhad",[242],"Petaling Jaya",[244],"MY",180000,300000,"MYR",[26],{"aws":30,"git":30,"sql":31,"ci\u002Fcd":30,"numpy":31,"pandas":31,"python":31,"statsmodels":31,"scikit-learn":31},[34,35,251,252,253,254,255,256,149],"pandas","NumPy","scikit-learn","statsmodels","Git","CI\u002FCD",{"irb models":30,"stress testing":31,"machine learning":30,"model deployment":30,"model governance":31,"model validation":31,"recovery analysis":31,"survival analysis":31,"capital management":30,"logistic regression":31,"portfolio analytics":31,"transition matrices":31,"ifrs 9 ecl modelling":31,"mfrs 9 ecl modelling":31,"model implementation":31,"time-series analysis":31,"credit risk modelling":31,"regulatory compliance":31,"statistical modelling":31,"credit risk scorecards":31,"macroeconomic modelling":31,"basel credit risk models":30,"loss given default (lgd) modelling":31,"exposure at default (ead) modelling":31,"probability of default (pd) modelling":31},[259,260,261,262,263,264,265,266,267,226,268,269,55,41,270,271,272,273,274,275,276,277,278,279,280],"Credit Risk Modelling","MFRS 9 ECL Modelling","IFRS 9 ECL Modelling","Probability of Default (PD) Modelling","Loss Given Default (LGD) Modelling","Exposure at Default (EAD) Modelling","Credit Risk Scorecards","Portfolio Analytics","Model Implementation","Model Governance","Regulatory Compliance","Logistic Regression","Survival Analysis","Transition Matrices","Time-Series Analysis","Macroeconomic Modelling","Recovery Analysis","Stress Testing","Capital Management","Basel Credit Risk Models","IRB Models","Model Deployment",{"id":282,"slug":283,"title":284,"raw_title":11,"is_featured":12,"company":285,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":288,"processed_country_iso_code_gmaps":290,"processed_home_office":140,"processed_salary_min":291,"processed_salary_max":292,"processed_salary_currency":182,"processed_salary_source":24,"processed_working_hours":293,"processed_employment_types":27,"processed_it_skills":294,"processed_it_skills_labels":295,"processed_job_expertise_skills":297,"processed_job_expertise_skills_labels":298,"max_cpc":64,"actual_cpc":64},63262,"health-analytics-specialist-pacs-prudential-assurance-company-singapore-pte-ltd","Health Analytics Specialist",{"name":286,"slug":287,"logo_url":11},"Prudential Assurance Company Singapore (Pte) Ltd","prudential-assurance-company-singapore-pte-ltd",[289],"Singapore",[181],80000,120000,[26],{"sas":30,"sql":31,"spss":30,"python":31,"tableau":30,"power bi":30,"databricks":29},[35,34,190,296,33,39,89],"SPSS",{"kpi tracking":30,"fraud detection":30,"data visualization":30,"insurance analytics":31,"morbidity modelling":30,"healthcare analytics":31,"business intelligence":30,"persistency modelling":30,"statistical modelling":31,"medical claims analysis":30,"provider network analysis":30,"policyholder behaviour analysis":30},[299,300,55,201,301,302,303,304,305,306,307,308],"Healthcare Analytics","Insurance Analytics","Business Intelligence","KPI Tracking","Medical Claims Analysis","Provider Network Analysis","Fraud Detection","Morbidity Modelling","Persistency Modelling","Policyholder Behaviour Analysis",{"id":310,"slug":311,"title":312,"raw_title":11,"is_featured":12,"company":313,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":316,"processed_country_iso_code_gmaps":318,"processed_home_office":20,"processed_salary_min":320,"processed_salary_max":321,"processed_salary_currency":322,"processed_salary_source":24,"processed_working_hours":323,"processed_employment_types":27,"processed_it_skills":324,"processed_it_skills_labels":325,"processed_job_expertise_skills":331,"processed_job_expertise_skills_labels":332,"max_cpc":64,"actual_cpc":64},60001,"senior-research-specialist-power-pol007-refinitiv-poland-spoka-z-oo","Senior Research Specialist, Power",{"name":314,"slug":315,"logo_url":11},"Refinitiv Poland Spółka z o.o.","refinitiv-poland-spoka-z-oo",[317],"Gdynia",[319],"PL",119200,188400,"PLN",[26],{"r":30,"apis":30,"matlab":30,"python":31,"databases":30,"data pipelines":30,"machine learning":31,"time-series analysis":31,"cloud-based analytical environments":30},[34,40,326,41,327,328,45,329,330],"MATLAB","Time-series Analysis","Data Pipelines","Databases","Cloud-based Analytical Environments",{"meteorology":30,"data science":31,"energy systems":30,"predictive modelling":31,"power market analysis":31,"statistical modelling":31,"renewables forecasting":31,"geospatial data analysis":30,"weather-driven energy dynamics":31,"fundamental supply-and-demand modelling":31},[333,334,335,336,55,337,338,339,340,341],"Fundamental Supply-and-Demand Modelling","Power Market Analysis","Renewables Forecasting","Weather-driven Energy Dynamics","Predictive Modelling","Geospatial Data Analysis","Data Science","Energy Systems","Meteorology",{"id":343,"slug":344,"title":68,"raw_title":11,"is_featured":12,"company":345,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":346,"processed_country_iso_code_gmaps":347,"processed_home_office":20,"processed_salary_min":217,"processed_salary_max":83,"processed_salary_currency":84,"processed_salary_source":24,"processed_working_hours":348,"processed_employment_types":27,"processed_it_skills":349,"processed_it_skills_labels":350,"processed_job_expertise_skills":351,"processed_job_expertise_skills_labels":352,"max_cpc":64,"actual_cpc":64},46053,"principal-technical-pricing-analyst-allianz-insurance-4",{"name":70,"slug":71,"logo_url":72},[74],[81],[26],{"sql":31,"excel":31,"python":31,"databricks":31},[34,35,89,36],{"gbm":31,"glm":31,"radar":31,"emblem":31,"back testing":31,"data analysis":31,"pricing models":31,"machine learning":31,"technical pricing":31,"statistical modelling":31},[55,353,41,354,124,355,98,97,356,357],"GLM","GBM","Pricing Models","Radar","Emblem",{"id":359,"slug":360,"title":361,"raw_title":11,"is_featured":12,"company":362,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":365,"processed_country_iso_code_gmaps":366,"processed_home_office":140,"processed_salary_min":291,"processed_salary_max":292,"processed_salary_currency":84,"processed_salary_source":24,"processed_working_hours":367,"processed_employment_types":27,"processed_it_skills":368,"processed_it_skills_labels":369,"processed_job_expertise_skills":376,"processed_job_expertise_skills_labels":377,"max_cpc":64,"actual_cpc":64},59530,"data-scientist-gbr006-refinitiv-limited","Data Scientist",{"name":363,"slug":364,"logo_url":11},"Refinitiv Limited","refinitiv-limited",[74],[81],[26],{"sql":30,"llms":30,"mlops":30,"numpy":30,"pandas":30,"python":31,"scikit-learn":30,"generative ai":30,"azure ai services":29,"rag architectures":30,"data visualization":30,"cloud-based data science platforms":30},[34,35,44,252,157,167,370,371,372,373,374,375],"LLMs","RAG architectures","Cloud-based data science platforms","MLOps","Data visualization","Azure AI services",{"sre":29,"mentoring":30,"observability":29,"responsible ai":29,"experimentation":30,"machine learning":31,"model evaluation":30,"model governance":30,"model monitoring":30,"product delivery":30,"financial services":29,"feature engineering":30,"predictive analytics":31,"ai-powered automation":29,"market infrastructure":29,"operational analytics":29,"statistical modelling":31,"regulated environments":29},[41,55,378,379,380,381,382,268,383,384,385,386,387,388,152,389,390,101],"Predictive Analytics","Experimentation","Feature Engineering","Model Evaluation","Model Monitoring","Product Delivery","Mentoring","Financial Services","Regulated Environments","Market Infrastructure","Observability","Operational Analytics","AI-powered Automation",{"id":392,"slug":393,"title":394,"raw_title":11,"is_featured":12,"company":395,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":398,"processed_country_iso_code_gmaps":400,"processed_home_office":140,"processed_salary_min":82,"processed_salary_max":83,"processed_salary_currency":247,"processed_salary_source":24,"processed_working_hours":401,"processed_employment_types":27,"processed_it_skills":402,"processed_it_skills_labels":403,"processed_job_expertise_skills":411,"processed_job_expertise_skills_labels":412,"max_cpc":64,"actual_cpc":64},64452,"senior-data-scientist-sedgwick-malaysia-sdn-bhd","Senior Data Scientist",{"name":396,"slug":397,"logo_url":11},"Sedgwick Malaysia Sdn Bhd","sedgwick-malaysia-sdn-bhd",[399],"Kuala Lumpur",[244],[26],{"r":30,"sql":30,"ssrs":30,"keras":30,"ggplot":30,"plotly":30,"python":31,"seaborn":30,"power bi":30,"matplotlib":30,"tensorflow":30,"scikit-learn":31},[34,40,35,253,404,405,406,407,408,409,33,410],"TensorFlow","Keras","ggplot","plotly","matplotlib","seaborn","SSRS",{"reporting":30,"data analysis":31,"documentation":30,"poc development":30,"machine learning":31,"data storytelling":31,"experimental design":30,"predictive modeling":31,"statistical modelling":31,"business value estimation":30,"technical solution design":31},[124,55,41,413,414,415,416,417,418,419,420],"Predictive Modeling","Data Storytelling","Technical Solution Design","POC Development","Business Value Estimation","Experimental Design","Documentation","Reporting",{"id":422,"slug":423,"title":424,"raw_title":11,"is_featured":12,"company":425,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":426,"processed_country_iso_code_gmaps":427,"processed_home_office":140,"processed_salary_min":428,"processed_salary_max":429,"processed_salary_currency":322,"processed_salary_source":24,"processed_working_hours":430,"processed_employment_types":27,"processed_it_skills":431,"processed_it_skills_labels":432,"processed_job_expertise_skills":435,"processed_job_expertise_skills_labels":436,"max_cpc":64,"actual_cpc":64},59991,"junior-data-scientist-pol007-refinitiv-poland-spoka-z-oo","Junior Data Scientist",{"name":314,"slug":315,"logo_url":11},[317],[319],114700,181500,[26],{"r":30,"aws":30,"git":30,"nlp":31,"rag":31,"sql":30,"llms":31,"azure":30,"ci\u002Fcd":30,"mlops":30,"numpy":31,"pandas":31,"python":31,"scikit-learn":31},[34,35,40,255,149,433,44,252,157,434,370,150,373,256],"Azure","NLP",{"web scraping":30,"data cleaning":31,"deep learning":31,"data analytics":31,"data management":30,"machine learning":31,"entity extraction":30,"data transformation":31,"feature engineering":31,"exploratory analysis":31,"statistical modelling":31,"synthetic data generation":30,"financial services knowledge":29},[51,380,55,41,437,438,439,440,441,442,443,444,57],"Deep Learning","Data Cleaning","Data Transformation","Exploratory Analysis","Web Scraping","Entity Extraction","Synthetic Data Generation","Financial Services Knowledge",{"id":446,"slug":447,"title":424,"raw_title":11,"is_featured":12,"company":448,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":451,"processed_country_iso_code_gmaps":453,"processed_home_office":140,"processed_salary_min":111,"processed_salary_max":455,"processed_salary_currency":456,"processed_salary_source":24,"processed_working_hours":457,"processed_employment_types":27,"processed_it_skills":458,"processed_it_skills_labels":459,"processed_job_expertise_skills":460,"processed_job_expertise_skills_labels":461,"max_cpc":64,"actual_cpc":64},59947,"junior-data-scientist-phl001-refinitiv-limited-philippines-branch",{"name":449,"slug":450,"logo_url":11},"Refinitiv Limited - Philippines Branch","refinitiv-limited-philippines-branch",[452],"Taguig",[454],"PH",45000,"PHP",[26],{"r":30,"aws":30,"git":30,"sql":30,"azure":30,"ci\u002Fcd":30,"mlops":30,"numpy":31,"pandas":31,"python":31,"scikit-learn":31},[34,35,40,255,149,433,44,252,157,373,256],{"nlp":31,"llms":31,"web scraping":30,"data cleaning":31,"rag workflows":31,"data analytics":31,"data management":30,"machine learning":31,"entity extraction":30,"data transformation":31,"feature engineering":31,"exploratory analysis":31,"statistical modelling":30,"financial services knowledge":29,"investment banking knowledge":29},[51,380,41,434,370,462,55,438,439,440,441,442,57,444,463],"RAG Workflows","Investment Banking Knowledge",{"id":465,"slug":466,"title":467,"raw_title":11,"is_featured":12,"company":468,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":471,"processed_country_iso_code_gmaps":472,"processed_home_office":140,"processed_salary_min":82,"processed_salary_max":83,"processed_salary_currency":247,"processed_salary_source":24,"processed_working_hours":473,"processed_employment_types":27,"processed_it_skills":474,"processed_it_skills_labels":475,"processed_job_expertise_skills":478,"processed_job_expertise_skills_labels":479,"max_cpc":64,"actual_cpc":487},62090,"risk-model-validation-am-ocbc-malaysia","Risk Model Validation - AM",{"name":469,"slug":470,"logo_url":11},"OCBC Malaysia","ocbc-malaysia",[399],[244],[26],{"r":30,"sas":30,"sql":30,"pega":29,"spark":30,"hadoop":30,"oracle":30,"python":30,"siebel":29,"tableau":30,"power bi":30,"qlikview":30,"teradata":30},[190,40,476,34,186,187,155,35,33,39,477,195,196],"Spark","Qlikview",{"aml reporting":30,"data analysis":31,"data management":30,"pdpa statistics":29,"machine learning":30,"data visualization":30,"sales surveillance":30,"thought leadership":30,"compliance analytics":31,"statistical modelling":30,"product\u002Fchannel statistics":29,"suspicious transaction monitoring":30},[57,124,41,55,201,480,481,482,483,484,485,486],"Compliance Analytics","Sales Surveillance","Suspicious Transaction Monitoring","AML Reporting","PDPA Statistics","Product\u002FChannel Statistics","Thought Leadership",0.5,{"industry":489,"employment_type":514,"expertise_skills":520,"it_skills":574,"salary_currency":635,"processed_working_hours":643},[490,494,497,500,502,505,508,511],{"key":491,"label":492,"count":493},"insurance","Insurance",6,{"key":495,"label":496,"count":31},"financial markets infrastructure","Financial Markets Infrastructure",{"key":498,"label":499,"count":30},"data provider","Data Provider",{"key":501,"label":385,"count":30},"financial services",{"key":503,"label":504,"count":29},"banking","Banking",{"key":506,"label":507,"count":64},"data","Data",{"key":509,"label":510,"count":64},"digital banking","Digital Banking",{"key":512,"label":513,"count":64},"asset management","Asset Management",[515,518],{"key":27,"label":516,"count":517},"PERMANENT",14,{"key":115,"label":519,"count":64},"STUDENT",[521,523,526,529,531,533,535,537,539,541,543,545,548,550,552,555,557,559,561,563,565,567,569,571],{"key":522,"label":55,"slug":522,"count":5},"statistical-modelling",{"key":524,"label":41,"slug":524,"count":525},"machine-learning",11,{"key":527,"label":124,"slug":527,"count":528},"data-analysis",5,{"key":530,"label":57,"slug":530,"count":31},"data-management",{"key":532,"label":51,"slug":532,"count":31},"data-analytics",{"key":534,"label":380,"slug":534,"count":30},"feature-engineering",{"key":536,"label":201,"slug":536,"count":30},"data-visualization",{"key":538,"label":58,"slug":538,"count":29},"data-governance",{"key":540,"label":438,"slug":540,"count":29},"data-cleaning",{"key":542,"label":97,"slug":542,"count":29},"technical-pricing",{"key":544,"label":439,"slug":544,"count":29},"data-transformation",{"key":546,"label":547,"slug":546,"count":29},"responsible-ai","Responsible Ai",{"key":549,"label":444,"slug":549,"count":29},"financial-services-knowledge",{"key":551,"label":98,"slug":551,"count":29},"back-testing",{"key":553,"label":554,"slug":553,"count":29},"project-management","Project management",{"key":556,"label":226,"slug":556,"count":29},"model-validation",{"key":558,"label":54,"slug":558,"count":29},"compliance",{"key":560,"label":441,"slug":560,"count":29},"web-scraping",{"key":562,"label":442,"slug":562,"count":29},"entity-extraction",{"key":564,"label":440,"slug":564,"count":29},"exploratory-analysis",{"key":566,"label":268,"slug":566,"count":29},"model-governance",{"key":568,"label":202,"slug":568,"count":64},"campaign-management",{"key":570,"label":417,"slug":570,"count":64},"business-value-estimation",{"key":572,"label":573,"slug":572,"count":64},"applied-ai","Applied Ai",[575,577,580,583,587,589,590,593,596,598,600,602,605,608,611,614,617,620,621,624,627,629,631,633],{"key":576,"label":34,"slug":576,"count":5},"python",{"key":578,"label":35,"slug":578,"count":579},"sql",13,{"key":581,"label":40,"slug":581,"count":582},"r",8,{"key":584,"label":585,"slug":584,"count":586},"ms-powerbi","MS PowerBI",7,{"key":253,"label":588,"slug":253,"count":493},"Scikit-Learn",{"key":251,"label":44,"slug":251,"count":528},{"key":591,"label":592,"slug":591,"count":31},"numpy","Numpy",{"key":594,"label":595,"slug":594,"count":31},"aws","Aws",{"key":597,"label":89,"slug":597,"count":31},"databricks",{"key":599,"label":39,"slug":599,"count":31},"tableau",{"key":601,"label":255,"slug":601,"count":30},"git",{"key":603,"label":604,"slug":603,"count":30},"ms-excel","MS Excel",{"key":606,"label":607,"slug":606,"count":30},"cicd","Ci\u002FCd",{"key":609,"label":610,"slug":609,"count":30},"mlops","Mlops",{"key":612,"label":613,"slug":612,"count":30},"sas","Sas",{"key":615,"label":616,"slug":615,"count":29},"llms","Llms",{"key":618,"label":619,"slug":618,"count":29},"rag","Rag",{"key":524,"label":41,"slug":524,"count":29},{"key":622,"label":623,"slug":622,"count":29},"ms-azure","MS Azure",{"key":625,"label":626,"slug":625,"count":29},"apis","Apis",{"key":628,"label":195,"slug":628,"count":29},"siebel",{"key":630,"label":186,"slug":630,"count":29},"oracle",{"key":632,"label":196,"slug":632,"count":29},"pega",{"key":634,"label":187,"slug":634,"count":29},"teradata",[636,637,638,639,640,641,642],{"key":84,"label":84,"count":31},{"key":247,"label":247,"count":30},{"key":23,"label":23,"count":29},{"key":322,"label":322,"count":29},{"key":182,"label":182,"count":29},{"key":113,"label":113,"count":64},{"key":456,"label":456,"count":64},[644],{"key":26,"label":26,"count":5},{"total":64,"jobs":646},[647],{"id":648,"slug":649,"title":650,"raw_title":11,"is_featured":651,"company":652,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":656,"processed_country_iso_code_gmaps":658,"processed_home_office":660,"processed_salary_min":455,"processed_salary_max":661,"processed_salary_currency":113,"processed_salary_source":11,"processed_working_hours":662,"processed_employment_types":516,"processed_it_skills":664,"processed_it_skills_labels":11,"processed_job_expertise_skills":665,"processed_job_expertise_skills_labels":666,"max_cpc":671,"actual_cpc":11},52265,"privatkundenbetreuer-mwd-banking-frankfurt-am-main-white-horse-international-gmbh","Privatkundenbetreuer (m\u002Fw\u002Fd) – Banking | Frankfurt am Main",true,{"name":653,"slug":654,"logo_url":655},"White Horse International GmbH","white-horse-international-gmbh","https:\u002F\u002Fwhitehorse-international.com\u002Fwp-content\u002Fuploads\u002F2022\u002F03\u002Fwhite-horse-logo-final-gif.gif",[657],"Frankfurt am Main",[659],"DE","HYBRID",65000,[663],"full_time",{},{"Financial Analysis":30,"Regulatory Compliance":30,"New Customer Acquisition":30,"Private Banking Advisory":30,"Banking Products Knowledge":30,"Customer Relationship Management":30},[667,668,669,269,204,670],"Private Banking Advisory","Financial Analysis","Banking Products Knowledge","New Customer Acquisition",0.8]