[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-search-\u002Fde-us\u002Fjobs-by-skill\u002Fr?page=6":3,"seo-content-skill-r-us":497,"featured-jobs-\u002Fde-us\u002Fjobs-by-skill\u002Fr?page=6":527,"skill-page-filters-\u002Fde-us\u002Fjobs-by-skill\u002Fr?page=6":529},{"total":4,"jobs":5},119,[6,41,56,92,113,138,177,201,237,264,281,307,337,354,393,416,441,456,480],{"id":7,"slug":8,"title":9,"raw_title":10,"is_featured":11,"company":12,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":15,"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":29,"processed_job_expertise_skills":32,"processed_job_expertise_skills_labels":33,"max_cpc":39,"actual_cpc":40},63399,"senior-financial-markets-analyst-financial-markets-analyst-financial-markets-group-federal-reserve-bank-of-chicago","Senior Financial Markets Analyst \u002F Financial Markets Analyst, Financial Markets Group",null,false,{"name":13,"slug":14,"logo_url":10},"Federal Reserve Bank of Chicago","federal-reserve-bank-of-chicago",[16],"Chicago",[18],"US","onsite",77900,121600,"USD","estimated",[25],"FULL_TIME","permanent",{"r":28,"python":28},4,[30,31],"R","Python",{"research":28,"presentation":28,"data analysis":28,"policy analysis":28,"financial markets analysis":28},[34,35,36,37,38],"Financial Markets Analysis","Data Analysis","Policy Analysis","Research","Presentation",1,1.5,{"id":42,"slug":43,"title":44,"raw_title":10,"is_featured":11,"company":45,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":46,"processed_country_iso_code_gmaps":47,"processed_home_office":19,"processed_salary_min":48,"processed_salary_max":49,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":50,"processed_employment_types":26,"processed_it_skills":51,"processed_it_skills_labels":52,"processed_job_expertise_skills":53,"processed_job_expertise_skills_labels":54,"max_cpc":39,"actual_cpc":40},63400,"senior-financial-markets-specialist-financial-markets-specialist-financial-markets-group-federal-reserve-bank-of-chicago","Senior Financial Markets Specialist \u002F Financial Markets Specialist, Financial Markets Group",{"name":13,"slug":14,"logo_url":10},[16],[18],115200,160000,[25],{"r":28,"python":28},[30,31],{"research":28,"data analysis":28,"policy analysis":28,"financial markets analysis":28,"stakeholder relationship management":28},[34,36,35,37,55],"Stakeholder Relationship Management",{"id":57,"slug":58,"title":59,"raw_title":10,"is_featured":11,"company":60,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":63,"processed_country_iso_code_gmaps":65,"processed_home_office":66,"processed_salary_min":67,"processed_salary_max":68,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":69,"processed_employment_types":26,"processed_it_skills":70,"processed_it_skills_labels":72,"processed_job_expertise_skills":82,"processed_job_expertise_skills_labels":84,"max_cpc":39,"actual_cpc":40},52641,"math-major-software-developer-auto-owners-insurance-company","Math Major Software Developer",{"name":61,"slug":62,"logo_url":10},"Auto-Owners Insurance Company","auto-owners-insurance-company",[64],"Lansing",[18],"hybrid",60000,90000,[25],{"c":71,"r":71,"c++":71,"db2":71,"sas":71,"sql":71,"tso":71,"java":71,"cobol":71,"matlab":71,"python":71},2,[73,74,75,76,30,77,31,78,79,80,81],"COBOL","DB2","TSO","SQL","SAS","MATLAB","C","C++","Java",{"debugging":83,"code review":83,"programming":83,"consultation":83,"documentation":83,"system analysis":83,"software development":83},3,[85,86,87,88,89,90,91],"Software Development","Programming","System Analysis","Code Review","Documentation","Debugging","Consultation",{"id":93,"slug":94,"title":95,"raw_title":10,"is_featured":11,"company":96,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":99,"processed_country_iso_code_gmaps":101,"processed_home_office":19,"processed_salary_min":102,"processed_salary_max":103,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":104,"processed_employment_types":26,"processed_it_skills":105,"processed_it_skills_labels":106,"processed_job_expertise_skills":107,"processed_job_expertise_skills_labels":108,"max_cpc":39,"actual_cpc":40},63337,"associate-actuary-privilege-underwriters-inc","Associate Actuary",{"name":97,"slug":98,"logo_url":10},"Privilege Underwriters, Inc.","privilege-underwriters-inc",[100],"Boston",[18],120000,135000,[25],{"r":83,"sas":83,"sql":83,"python":83},[77,76,30,31],{"ratemaking":28,"data analysis":28,"actuarial pricing":28,"statistical modeling":28,"regulatory compliance":83},[109,110,35,111,112],"Actuarial Pricing","Ratemaking","Statistical Modeling","Regulatory Compliance",{"id":114,"slug":115,"title":116,"raw_title":10,"is_featured":11,"company":117,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":120,"processed_country_iso_code_gmaps":122,"processed_home_office":19,"processed_salary_min":123,"processed_salary_max":123,"processed_salary_currency":124,"processed_salary_source":23,"processed_working_hours":125,"processed_employment_types":126,"processed_it_skills":127,"processed_it_skills_labels":128,"processed_job_expertise_skills":129,"processed_job_expertise_skills_labels":130,"max_cpc":39,"actual_cpc":40},63654,"risk-intern-ytl-digital-bank-berhad-registration-no-202201037182-1482879-p-2","Risk Intern",{"name":118,"slug":119,"logo_url":10},"YTL Digital Bank Berhad (Registration No. 202201037182 (1482879-P))","ytl-digital-bank-berhad-registration-no-202201037182-1482879-p",[121],"Cerritos",[18],0,"MYR",[25],"student",{"r":83,"sql":71,"python":83},[31,30,76],{"research":83,"data analysis":83,"process review":83,"risk management":83,"model development":83,"scenario analysis":83,"structured writing":83,"root cause analysis":83,"incident investigation":83},[131,35,132,133,134,135,136,37,137],"Risk Management","Model Development","Scenario Analysis","Root Cause Analysis","Process Review","Incident Investigation","Structured Writing",{"id":139,"slug":140,"title":141,"raw_title":10,"is_featured":11,"company":142,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":145,"processed_country_iso_code_gmaps":147,"processed_home_office":66,"processed_salary_min":148,"processed_salary_max":149,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":150,"processed_employment_types":26,"processed_it_skills":151,"processed_it_skills_labels":152,"processed_job_expertise_skills":157,"processed_job_expertise_skills_labels":158,"max_cpc":39,"actual_cpc":40},80117,"pc-actuary-director-reserving-allstate-insurance-co","P&C Actuary Director - Reserving",{"name":143,"slug":144,"logo_url":10},"Allstate Insurance Co.","allstate-insurance-co",[146],"Cook County",[18],190000,250000,[25],{"r":83,"ai":83,"python":83,"copilot":83,"generative ai":83,"machine learning":83},[31,30,153,154,155,156],"AI","Machine Learning","Generative AI","Copilot",{"erm":28,"cape cod":28,"chain-ladder":28,"compensation":28,"ai governance":83,"talent management":28,"capital management":28,"program management":28,"succession planning":28,"bornhuetter-ferguson":28,"stochastic reserving":28,"model risk management":83,"organizational design":28,"loss reserving methodologies":28,"individual claim-level models":28,"insurance reserving frameworks":28,"actuarial\u002Fstatistical techniques":28,"regulatory requirements (gaap, statutory)":28},[159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176],"Loss Reserving Methodologies","Chain-Ladder","Bornhuetter-Ferguson","Cape Cod","Stochastic Reserving","Individual Claim-Level Models","Actuarial\u002FStatistical Techniques","Insurance Reserving Frameworks","ERM","Capital Management","Regulatory Requirements (GAAP, Statutory)","AI Governance","Model Risk Management","Talent Management","Succession Planning","Compensation","Organizational Design","Program Management",{"id":178,"slug":179,"title":180,"raw_title":10,"is_featured":11,"company":181,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":184,"processed_country_iso_code_gmaps":186,"processed_home_office":66,"processed_salary_min":187,"processed_salary_max":188,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":189,"processed_employment_types":26,"processed_it_skills":190,"processed_it_skills_labels":191,"processed_job_expertise_skills":194,"processed_job_expertise_skills_labels":195,"max_cpc":39,"actual_cpc":40},49732,"director-actuary-group-disability-prudential-ins-co-of-america","Director, Actuary Group Disability",{"name":182,"slug":183,"logo_url":10},"Prudential Ins Co of America","prudential-ins-co-of-america",[185],"Newark",[18],158800,238200,[25],{"r":83,"sql":83,"excel":83,"python":83,"power bi":83},[192,76,30,31,193],"Excel","Power BI",{"actuarial science":28,"financial reporting":83,"predictive analytics":83,"statistical modeling":83,"pricing methodologies":28,"disability insurance analysis":28},[196,197,198,111,199,200],"Actuarial Science","Disability Insurance Analysis","Pricing Methodologies","Predictive Analytics","Financial Reporting",{"id":202,"slug":203,"title":204,"raw_title":10,"is_featured":11,"company":205,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":208,"processed_country_iso_code_gmaps":210,"processed_home_office":66,"processed_salary_min":211,"processed_salary_max":212,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":213,"processed_employment_types":26,"processed_it_skills":214,"processed_it_skills_labels":215,"processed_job_expertise_skills":223,"processed_job_expertise_skills_labels":224,"max_cpc":39,"actual_cpc":40},67162,"risk-manager-investment-risk-hartford-fire-ins-co","Risk Manager, Investment Risk",{"name":206,"slug":207,"logo_url":10},"Hartford Fire Ins. Co","hartford-fire-ins-co",[209],"Hartford",[18],121360,182040,[25],{"r":83,"vba":83,"excel":28,"intex":83,"trepp":83,"tableau":83,"bloomberg":83,"ai-enabled tools":83,"blackrock aladdin":83},[192,216,217,218,219,220,30,221,222],"Bloomberg","Intex","Trepp","BlackRock Aladdin","Tableau","VBA","AI-enabled tools",{"credit risk":28,"market risk":28,"stress testing":28,"scenario analysis":28,"financial modeling":28,"structured products":28,"fixed income markets":28,"portfolio management":83,"commercial real estate":28,"rating agency experience":83,"investment risk management":28,"real estate risk assessment":28,"structured finance cash flow analysis":28},[225,226,227,228,229,230,133,231,232,233,234,235,236],"Investment Risk Management","Credit Risk","Market Risk","Structured Finance Cash Flow Analysis","Real Estate Risk Assessment","Stress Testing","Financial Modeling","Fixed Income Markets","Structured Products","Commercial Real Estate","Portfolio Management","Rating Agency Experience",{"id":238,"slug":239,"title":240,"raw_title":10,"is_featured":11,"company":241,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":244,"processed_country_iso_code_gmaps":245,"processed_home_office":19,"processed_salary_min":246,"processed_salary_max":247,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":248,"processed_employment_types":26,"processed_it_skills":249,"processed_it_skills_labels":250,"processed_job_expertise_skills":253,"processed_job_expertise_skills_labels":254,"max_cpc":39,"actual_cpc":40},64612,"ml-architect-sedgwick-claims-management-services-inc","ML Architect",{"name":242,"slug":243,"logo_url":10},"Sedgwick Claims Management Services Inc.","sedgwick-claims-management-services-inc",[],[18],175000,220000,[25],{"r":28,"sql":28,"python":28,"microsoft office":71,"data visualization tools":83},[31,30,76,251,252],"Data Visualization Tools","Microsoft Office",{"data science":28,"etl pipelines":28,"data wrangling":28,"data exploration":28,"machine learning":28,"data visualization":83,"feature engineering":28,"predictive modeling":28,"statistical analysis":28,"natural language processing":83},[154,255,256,257,258,259,260,261,262,263],"Predictive Modeling","Data Science","Data Wrangling","Feature Engineering","Natural Language Processing","ETL Pipelines","Data Exploration","Statistical Analysis","Data Visualization",{"id":265,"slug":266,"title":267,"raw_title":10,"is_featured":11,"company":268,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":269,"processed_country_iso_code_gmaps":270,"processed_home_office":66,"processed_salary_min":67,"processed_salary_max":68,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":271,"processed_employment_types":26,"processed_it_skills":272,"processed_it_skills_labels":273,"processed_job_expertise_skills":277,"processed_job_expertise_skills_labels":278,"max_cpc":39,"actual_cpc":40},52613,"actuarial-analyst-auto-owners-insurance-company","Actuarial Analyst",{"name":61,"slug":62,"logo_url":10},[64],[18],[25],{"r":83,"microsoft sql":83,"microsoft excel":83,"microsoft access":83},[274,30,275,276],"Microsoft SQL","Microsoft Excel","Microsoft Access",{"pricing":28,"data analysis":28,"actuarial science":28,"report generation":83,"statistical analysis":28},[196,262,35,279,280],"Pricing","Report Generation",{"id":282,"slug":283,"title":284,"raw_title":10,"is_featured":11,"company":285,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":288,"processed_country_iso_code_gmaps":290,"processed_home_office":66,"processed_salary_min":291,"processed_salary_max":292,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":293,"processed_employment_types":26,"processed_it_skills":294,"processed_it_skills_labels":295,"processed_job_expertise_skills":296,"processed_job_expertise_skills_labels":297,"max_cpc":39,"actual_cpc":40},47440,"risk-manager-advisors-inc","Risk Manager",{"name":286,"slug":287,"logo_url":10},"Invesco Advisors Inc.","invesco-advisors-inc",[289],"Atlanta",[18],150000,165000,[25],{"r":83,"sql":83,"excel":83,"python":28,"tableau":83,"power bi":83},[31,30,76,193,220,192],{"derivatives":28,"market risk":28,"risk models":28,"fixed income":28,"data analysis":28,"liquidity risk":28,"stress testing":28,"risk management":28,"concentration risk":28,"portfolio analysis":28,"project management":83,"product development":83,"regulatory knowledge":83,"statistical analysis":28},[131,298,299,300,262,35,301,227,302,303,230,304,305,306],"Fixed Income","Derivatives","Risk Models","Portfolio Analysis","Liquidity Risk","Concentration Risk","Regulatory Knowledge","Product Development","Project Management",{"id":308,"slug":309,"title":310,"raw_title":10,"is_featured":11,"company":311,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":315,"processed_country_iso_code_gmaps":317,"processed_home_office":66,"processed_salary_min":68,"processed_salary_max":318,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":319,"processed_employment_types":26,"processed_it_skills":320,"processed_it_skills_labels":321,"processed_job_expertise_skills":323,"processed_job_expertise_skills_labels":324,"max_cpc":39,"actual_cpc":40},43579,"associate-model-development-hybrid-position-f8f-santander-bank-na","Associate, Model Development (Hybrid Position)",{"name":312,"slug":313,"logo_url":314},"Santander Bank N.A.","santander-bank-na","\u002Fimages\u002Flogos\u002Fsantander-logo-2018.svg",[316],"Dallas",[18],170000,[25],{"r":83,"sas":28,"sql":28,"ms excel":83},[77,76,30,322],"MS Excel",{"anova":28,"data mining":28,"segmentation":28,"decision trees":28,"neural networks":28,"risk management":83,"model validation":28,"linear regression":28,"hypothesis testing":28,"logistic regression":28,"portfolio management":83,"statistical analysis":28,"design of experiments":28,"variable reduction techniques":28,"credit scoring model development":28},[325,326,327,328,329,330,331,332,333,334,335,262,336,235,131],"Logistic Regression","Segmentation","Variable Reduction Techniques","Hypothesis Testing","Neural Networks","Design of Experiments","ANOVA","Decision Trees","Linear Regression","Credit Scoring Model Development","Data Mining","Model Validation",{"id":338,"slug":339,"title":340,"raw_title":10,"is_featured":11,"company":341,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":342,"processed_country_iso_code_gmaps":343,"processed_home_office":66,"processed_salary_min":344,"processed_salary_max":345,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":346,"processed_employment_types":26,"processed_it_skills":347,"processed_it_skills_labels":348,"processed_job_expertise_skills":349,"processed_job_expertise_skills_labels":350,"max_cpc":39,"actual_cpc":40},67112,"actuarial-small-business-workers-comp-lrp-amp-trend-hartford-fire-ins-co","Actuarial Small Business Workers Comp LRP & Trend",{"name":206,"slug":207,"logo_url":10},[209],[18],91600,137400,[25],{"r":83,"excel":28,"python":83},[192,30,31],{"actuarial pricing":28,"loss ratio planning":28,"reserving techniques":28,"statistical analysis":28,"property and casualty insurance":28},[109,351,352,262,353],"Reserving Techniques","Loss Ratio Planning","Property and Casualty Insurance",{"id":355,"slug":356,"title":357,"raw_title":10,"is_featured":11,"company":358,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":361,"processed_country_iso_code_gmaps":363,"processed_home_office":19,"processed_salary_min":364,"processed_salary_max":365,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":366,"processed_employment_types":26,"processed_it_skills":367,"processed_it_skills_labels":368,"processed_job_expertise_skills":373,"processed_job_expertise_skills_labels":374,"max_cpc":39,"actual_cpc":40},53447,"principal-consumer-finance-investment-strategy-apollo-management-holdings-lp","Principal, Consumer Finance Investment Strategy",{"name":359,"slug":360,"logo_url":10},"Apollo Management Holdings, L.P.","apollo-management-holdings-lp",[362],"Los Angeles",[18],300000,400000,[25],{"r":83,"c#":83,"c++":83,"nlp":83,"sas":28,"sql":28,"dv01":83,"intex":28,"python":28,"deep learning":83,"machine learning":28},[31,76,30,77,369,80,217,370,154,371,372],"C#","dv01","NLP","Deep Learning",{"data pipelines":83,"stress testing":28,"risk assessment":28,"version control":83,"default modeling":28,"model governance":83,"vintage analysis":28,"cash flow modeling":28,"prepayment modeling":28,"delinquency modeling":28,"loss severity modeling":28,"collateral surveillance":28,"consumer credit modeling":28,"deal waterfall mechanics":28,"securitization structures":28,"rating agency methodologies":83,"alternative data integration":83,"credit enhancement mechanics":28,"regulatory capital frameworks (basel iii\u002Fscr)":83},[375,376,377,378,379,380,381,230,382,383,384,385,386,387,388,389,390,391,392],"Consumer Credit Modeling","Cash Flow Modeling","Securitization Structures","Credit Enhancement Mechanics","Rating Agency Methodologies","Regulatory Capital Frameworks (Basel III\u002FSCR)","Risk Assessment","Collateral Surveillance","Deal Waterfall Mechanics","Prepayment Modeling","Delinquency Modeling","Loss Severity Modeling","Default Modeling","Vintage Analysis","Alternative Data Integration","Data Pipelines","Model Governance","Version Control",{"id":394,"slug":395,"title":396,"raw_title":10,"is_featured":11,"company":397,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":398,"processed_country_iso_code_gmaps":399,"processed_home_office":66,"processed_salary_min":102,"processed_salary_max":49,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":400,"processed_employment_types":26,"processed_it_skills":401,"processed_it_skills_labels":402,"processed_job_expertise_skills":407,"processed_job_expertise_skills_labels":408,"max_cpc":39,"actual_cpc":40},68780,"experienced-data-scientist-auto-owners-insurance-company","Experienced Data Scientist",{"name":61,"slug":62,"logo_url":10},[64],[18],[25],{"r":83,"aws":71,"sql":28,"keras":83,"python":83,"tensorflow":83,"scikit-learn":83},[76,30,31,403,404,405,406],"TensorFlow","Scikit-learn","Keras","AWS",{"data analysis":28,"cloud computing":71,"machine learning":28,"feature engineering":28,"statistical modeling":28,"model lifecycle management":28,"insurance industry knowledge":71},[409,410,411,412,413,414,415],"Statistical modeling","Machine learning","Data analysis","Model lifecycle management","Feature engineering","Cloud computing","Insurance industry knowledge",{"id":417,"slug":418,"title":419,"raw_title":10,"is_featured":11,"company":420,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":423,"processed_country_iso_code_gmaps":425,"processed_home_office":19,"processed_salary_min":291,"processed_salary_max":246,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":426,"processed_employment_types":26,"processed_it_skills":427,"processed_it_skills_labels":428,"processed_job_expertise_skills":432,"processed_job_expertise_skills_labels":433,"max_cpc":39,"actual_cpc":40},57796,"associate-director-3410us00-tigerrisk-partners-llc","Associate Director",{"name":421,"slug":422,"logo_url":10},"TigerRisk Partners LLC","tigerrisk-partners-llc",[424],"Edina",[18],[25],{"r":28,"sql":28,"excel":28,"arcgis":28,"python":28,"power bi":28,"rms risklink":28,"verisk touchstone":28},[76,192,30,31,193,429,430,431],"ArcGIS","Verisk Touchstone","RMS RiskLink",{"mapping":28,"reinsurance":28,"data analysis":28,"postprocessing":28,"risk management":28,"data preparation":28,"model validation":28,"data visualization":28,"portfolio analysis":28,"property insurance":28,"catastrophe modeling":28,"catastrophe reinsurance program design":28},[434,131,35,263,435,436,301,336,437,438,439,440],"Catastrophe Modeling","Property Insurance","Reinsurance","Data Preparation","Postprocessing","Mapping","Catastrophe Reinsurance Program Design",{"id":442,"slug":443,"title":444,"raw_title":10,"is_featured":11,"company":445,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":448,"processed_country_iso_code_gmaps":450,"processed_home_office":19,"processed_salary_min":103,"processed_salary_max":246,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":451,"processed_employment_types":26,"processed_it_skills":452,"processed_it_skills_labels":453,"processed_job_expertise_skills":454,"processed_job_expertise_skills_labels":455,"max_cpc":39,"actual_cpc":40},65298,"aiml-engineer-starr-insurance-holdings-inc","AI\u002FML Engineer",{"name":446,"slug":447,"logo_url":10},"Starr Insurance Holdings, Inc.","starr-insurance-holdings-inc",[449],"New York",[18],[25],{"r":28,"python":28},[31,30],{"data mining":28,"deep learning":28,"data wrangling":28,"machine learning":28,"actuarial science":71,"predictive modeling":28,"statistical analysis":28},[154,372,255,335,262,257,196],{"id":457,"slug":458,"title":459,"raw_title":10,"is_featured":11,"company":460,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":463,"processed_country_iso_code_gmaps":465,"processed_home_office":66,"processed_salary_min":466,"processed_salary_max":291,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":467,"processed_employment_types":26,"processed_it_skills":468,"processed_it_skills_labels":469,"processed_job_expertise_skills":471,"processed_job_expertise_skills_labels":472,"max_cpc":39,"actual_cpc":40},78934,"lead-catastrophe-risk-analyst-hcc-service-company-inc","Lead Catastrophe Risk Analyst",{"name":461,"slug":462,"logo_url":10},"HCC Service Company, Inc.","hcc-service-company-inc",[464],"Duluth",[18],100000,[25],{"r":83,"gis":28,"sql":28,"excel":28,"python":83},[192,76,470,30,31],"GIS",{"statistics":28,"risk analytics":28,"risk management":28,"capital modeling":28,"financial modeling":28,"exposure management":28,"catastrophe modeling":28,"research and development":83,"insurance underwriting support":83,"climate change impact assessment":83},[434,473,474,475,231,476,477,131,478,479],"Risk Analytics","Exposure Management","Capital Modeling","Statistics","Insurance Underwriting Support","Research and Development","Climate Change Impact Assessment",{"id":481,"slug":482,"title":483,"raw_title":10,"is_featured":11,"company":484,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":485,"processed_country_iso_code_gmaps":486,"processed_home_office":19,"processed_salary_min":102,"processed_salary_max":49,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":487,"processed_employment_types":26,"processed_it_skills":488,"processed_it_skills_labels":489,"processed_job_expertise_skills":490,"processed_job_expertise_skills_labels":491,"max_cpc":39,"actual_cpc":40},78930,"lead-actuarial-risk-modeler-cyber-hcc-service-company-inc","Lead Actuarial Risk Modeler, Cyber",{"name":461,"slug":462,"logo_url":10},[464],[18],[25],{"r":83,"python":83},[31,30],{"simulation":28,"statistics":28,"risk modeling":28,"actuarial science":28,"project management":71,"cyber risk modeling":28,"stochastic modeling":28,"catastrophe modeling":28,"man-made accumulation risks":28},[196,492,493,434,476,494,495,496,306],"Risk Modeling","Cyber Risk Modeling","Simulation","Stochastic Modeling","Man-made Accumulation Risks",{"image_path":498,"content_de":499,"content_en":512,"composite_key":525,"last_updated":526},"\u002Fimages\u002Fskill\u002Fr.webp",{"tab1":500,"tab2":503,"tab3":506,"tab4":509},{"title":501,"content":502},"Bedeutung & Relevanz","Die Programmiersprache R hat in den **Vereinigten Staaten** eine immense strategische Bedeutung für die Finanzbranche entwickelt. Als führende Open-Source-Sprache für statistische Analysen und Datenvisualisierung wird R insbesondere im **Asset Management** und **Investment Management** eingesetzt, wo präzise quantitative Analysen entscheidend sind. In den USA nutzen Finanzinstitute R für komplexe **Finanzanalyse**, **Risikomanagement** und die Entwicklung quantitativer Investmentstrategien.\n\nDie Relevanz von R zeigt sich besonders in der Fähigkeit, große Finanzdatensätze zu verarbeiten, Zeitreihenanalysen durchzuführen und maschinelle Lernmodelle zu implementieren. Unternehmen wie **American Century Investment Management, Inc.** und **Pacific Investment Mgt Co. LLC** setzen R für **Portfoliomanagement** und **Performanceanalyse** ein. Die Sprache ermöglicht Finanzanalysten, evidenzbasierte Investmententscheidungen zu treffen und komplexe statistische Modelle für **Marktanalyse** und **Risikobewertung** zu entwickeln.",{"title":504,"content":505},"Top-Branchen & Standorte","In den **Vereinigten Staaten** ist die Nachfrage nach R-Kenntnissen besonders in Finanzzentren und Technologie-Hubs konzentriert. **New York** als globales Finanzzentrum bietet zahlreiche Positionen für R-Entwickler in **Asset Management**-Unternehmen und Investmentbanken. In **Kansas City** haben sich bedeutende Finanzdienstleister wie **American Century Services, LLC** angesiedelt, die R für Datenanalyse und **Finanzmodellierung** einsetzen.\n\nWeitere wichtige Standorte sind **Chicago** mit seiner starken Präsenz im Derivatehandel und **Newport Beach** als Zentrum für alternatives Investmentmanagement. Die Top-Branchen für R-Experten umfassen **Asset Management \u002F Financial Services**, **Versicherungen** und **Investment Management**. In diesen Branchen wird R für **quantitative Forschung**, **statistische Modellierung** und die Entwicklung von Investmentlösungen genutzt, wobei die Integration mit anderen Technologien wie **Python** und **SQL** zunehmend an Bedeutung gewinnt.",{"title":507,"content":508},"Gefragte Skills & Arbeitgeber","Führende Arbeitgeber in den **Vereinigten Staaten** wie **CM002 American Century Investment Management, Inc.**, **CM003 American Century Services, LLC**, **Allianz Insurance** und **Pacific Investment Mgt Co. LLC** suchen kontinuierlich nach R-Experten mit spezifischen Fachkenntnissen. Gefragte Expertise umfasst **Portfoliomanagement**, **Finanzdatenanalyse**, **Risikomanagement** und **quantitative Analyse**.\n\nDie Kombination von R mit **Datenvisualisierung**, **maschinellem Lernen** und **Zeitreihenmodellierung** ist besonders wertvoll für Positionen in der **Finanzforschung** und **Investmentanalyse**. Unternehmen erwarten Kenntnisse in **statistischen Techniken**, **empirischer Forschung** und der Entwicklung **quantitativer Investmentstrategien**. Zusätzlich zu R sind Kompetenzen in **Datenmodellierung**, **Cloud-Architektur** und **Datenpipeline-Entwicklung** gefragt, da Finanzinstitute zunehmend auf moderne Data-Stack-Architekturen umsteigen.",{"title":510,"content":511},"Karriere & Entwicklung","Karrierewege für R-Experten in den **Vereinigten Staaten** reichen vom **Finanzanalysten** über **Quantitative Researcher** bis hin zum **Data Scientist** im Finanzbereich. Der Einstieg erfordert fundierte Kenntnisse in R kombiniert mit **Finanzanalyse**, **statistischer Modellierung** und **Datenanalyse**. Fortgeschrittene Positionen verlangen Expertise in **Portfoliomanagement**, **Risikobewertung** und **quantitativer Forschung**.\n\nZur Weiterentwicklung empfehlen sich Zertifizierungen in R sowie die Ergänzung durch verwandte IT-Skills wie **Python**, **SQL** und **AWS Cloud Services**. Die Integration von R mit **Tableau** oder **Power BI** für **Datenvisualisierung** eröffnet zusätzliche Karrieremöglichkeiten. Praktische Erfahrung mit **FactSet**, **Bloomberg** und anderen Finanzdatenplattformen ist ebenso wertvoll wie Kenntnisse in **agilen Methodologien** und **Projektmanagement**. Continuous Learning durch Online-Kurse, Fachkonferenzen und die Teilnahme an Open-Source-Projekten sichert langfristigen Karriereerfolg in der dynamischen US-Finanzbranche.",{"tab1":513,"tab2":516,"tab3":519,"tab4":522},{"title":514,"content":515},"Strategic Importance","R programming has become strategically vital in the **United States** financial sector, particularly within **Asset Management** and **Investment Management**. As financial institutions increasingly rely on data-driven decision making, R provides the statistical computing power needed for complex quantitative analysis, risk modeling, and investment strategy development. Major financial hubs like **New York** and **Chicago** have seen explosive demand for R expertise as firms leverage its capabilities for **Financial Modeling**, **Risk Assessment**, and **Portfolio Management**.\n\nIn the **United States**, R's open-source nature and extensive package ecosystem make it indispensable for **Financial Analysis** and **Market Analysis**. Companies like **American Century Investment Management, Inc.** and **Pacific Investment Mgt Co. LLC** use R for sophisticated statistical modeling, time series analysis, and performance attribution. The language's integration with big data technologies and machine learning frameworks positions it as a cornerstone technology for quantitative finance professionals across the American financial landscape.",{"title":517,"content":518},"Top Industries & Locations","R programming skills are in highest demand within **Asset Management**, **Asset Management \u002F Financial Services**, and **Investment Management** industries across key American financial centers. **New York** leads as the primary hub for R talent, followed by **Kansas City**, **Chicago**, and **Newport Beach** - all major centers for quantitative finance and investment management.\n\nThe **Asset Management** sector particularly values R for portfolio optimization and risk analytics, while **Insurance** companies leverage it for actuarial modeling and predictive analytics. In **Newport Beach**, investment firms use R for sophisticated quantitative strategies, while **Chicago**'s trading firms employ it for market microstructure analysis. The concentration of **Asset Management Financial Services** firms in these locations creates robust demand for R programming expertise, with opportunities spanning from entry-level analyst roles to senior quantitative researcher positions.",{"title":520,"content":521},"In-Demand Skills & Employers","Leading financial employers in the **United States** seek R programming expertise combined with complementary skills in **Portfolio Management**, **Risk Management**, and **Financial Analysis**. Top companies like **CM002 American Century Investment Management, Inc.**, **CM003 American Century Services, LLC**, **Allianz Insurance**, and **Pacific Investment Mgt Co. LLC** consistently hire professionals who can leverage R for **Quantitative Analysis**, **Statistical Modeling**, and **Financial Modeling**.\n\nThese employers value R proficiency alongside expertise in **Market Analysis**, **Investment Analysis**, and **Data Engineering**. The integration of R with **Python** and **SQL** creates powerful analytical capabilities for **Financial Research** and **Performance Analysis**. Companies particularly seek professionals who can apply R to **Time Series Modeling**, **Economic Data Analysis**, and **Quantitative Portfolio Construction**, making R programming a critical skill for roles in quantitative research, risk analytics, and investment strategy development across the American financial sector.",{"title":523,"content":524},"Career & Development","R programming opens diverse career paths in the **United States** financial industry, from quantitative analyst and data scientist roles to portfolio manager and risk analyst positions. Professionals typically start by mastering R fundamentals alongside **SQL** and statistical methods, then progress to advanced applications in **Financial Modeling** and **Quantitative Analysis**.\n\nCareer development often involves combining R with complementary technologies like **Python**, **AWS** cloud services, and data visualization tools such as **Tableau** and **Power BI**. Learning R in conjunction with **Machine Learning** and **Data Pipeline Development** creates opportunities in quantitative research and algorithmic trading. Many professionals enhance their R skills through certifications in financial analytics or quantitative finance, while practical experience with **Portfolio Management Tools** and financial datasets accelerates career advancement. The continuous evolution of R packages for finance ensures ongoing learning opportunities and career growth in the dynamic American financial market.","skill:r:us","2026-08-17T09:02:16.299963+02:00",{"total":123,"jobs":528},[],{"industry":530,"employment_type":572,"expertise_skills":583,"it_skills":648,"salary_currency":715,"processed_working_hours":719},[531,535,539,543,547,549,552,555,558,561,564,567,570],{"key":532,"label":533,"count":534},"financial services","Financial Services",50,{"key":536,"label":537,"count":538},"insurance","Insurance",44,{"key":540,"label":541,"count":542},"banking","Banking",37,{"key":544,"label":545,"count":546},"asset management","Asset Management",5,{"key":548,"label":436,"count":83},"reinsurance",{"key":550,"label":551,"count":83},"property","Property",{"key":553,"label":554,"count":83},"casualty insurance","Casualty Insurance",{"key":556,"label":557,"count":71},"alternative investments","Alternative Investments",{"key":559,"label":560,"count":39},"digital banking","Digital Banking",{"key":562,"label":563,"count":39},"financial regulation","Financial Regulation",{"key":565,"label":566,"count":39},"alternative asset management","Alternative Asset Management",{"key":568,"label":569,"count":39},"claims administration","Claims Administration",{"key":571,"label":131,"count":39},"risk management",[573,576,579],{"key":26,"label":574,"count":575},"PERMANENT",101,{"key":126,"label":577,"count":578},"STUDENT",9,{"key":580,"label":581,"count":582},"temporary","TEMPORARY",8,[584,587,590,592,595,598,601,604,606,610,614,617,619,621,625,628,630,632,634,636,639,641,644,646],{"key":585,"label":35,"slug":585,"count":586},"data-analysis",48,{"key":588,"label":263,"slug":588,"count":589},"data-visualization",25,{"key":591,"label":262,"slug":591,"count":589},"statistical-analysis",{"key":593,"label":131,"slug":593,"count":594},"risk-management",22,{"key":596,"label":154,"slug":596,"count":597},"machine-learning",21,{"key":599,"label":336,"slug":599,"count":600},"model-validation",19,{"key":602,"label":255,"slug":602,"count":603},"predictive-modeling",16,{"key":605,"label":111,"slug":605,"count":603},"statistical-modeling",{"key":607,"label":608,"slug":607,"count":609},"project-management","Project management",15,{"key":611,"label":612,"slug":611,"count":613},"econometrics","Econometrics",14,{"key":615,"label":171,"slug":615,"count":616},"model-risk-management",13,{"key":618,"label":476,"slug":618,"count":616},"statistics",{"key":620,"label":196,"slug":620,"count":616},"actuarial-science",{"key":622,"label":623,"slug":622,"count":624},"quantitative-analysis","Quantitative Analysis",12,{"key":626,"label":112,"slug":626,"count":627},"regulatory-compliance",10,{"key":629,"label":434,"slug":629,"count":627},"catastrophe-modeling",{"key":631,"label":235,"slug":631,"count":578},"portfolio-management",{"key":633,"label":132,"slug":633,"count":578},"model-development",{"key":635,"label":231,"slug":635,"count":582},"financial-modeling",{"key":637,"label":37,"slug":637,"count":638},"research",7,{"key":640,"label":279,"slug":640,"count":638},"pricing",{"key":642,"label":643,"slug":642,"count":638},"forecasting","Forecasting",{"key":645,"label":391,"slug":645,"count":638},"model-governance",{"key":647,"label":335,"slug":647,"count":638},"data-mining",[649,651,654,657,661,663,666,668,671,674,677,680,681,685,687,690,693,695,698,701,704,706,709,712],{"key":650,"label":30,"slug":650,"count":4},"r",{"key":652,"label":31,"slug":652,"count":653},"python",107,{"key":655,"label":76,"slug":655,"count":656},"sql",69,{"key":658,"label":659,"slug":658,"count":660},"sas","Sas",45,{"key":662,"label":322,"slug":662,"count":660},"ms-excel",{"key":664,"label":665,"slug":664,"count":594},"ms-powerbi","MS PowerBI",{"key":667,"label":220,"slug":667,"count":597},"tableau",{"key":669,"label":670,"slug":669,"count":603},"stata","Stata",{"key":672,"label":673,"slug":672,"count":609},"matlab","Matlab",{"key":675,"label":676,"slug":675,"count":624},"vba","Vba",{"key":678,"label":679,"slug":678,"count":578},"aws","Aws",{"key":596,"label":154,"slug":596,"count":638},{"key":682,"label":683,"slug":682,"count":684},"git","Git",6,{"key":686,"label":81,"slug":686,"count":684},"java",{"key":688,"label":689,"slug":688,"count":684},"microsoft-office-suite","Microsoft Office Suite",{"key":691,"label":692,"slug":691,"count":684},"ms-powerpoint","MS PowerPoint",{"key":694,"label":80,"slug":694,"count":546},"c",{"key":696,"label":697,"slug":696,"count":546},"snowflake","Snowflake",{"key":699,"label":700,"slug":699,"count":28},"ms-office","MS Office",{"key":702,"label":703,"slug":702,"count":28},"google-cloud","Google Cloud",{"key":705,"label":259,"slug":705,"count":28},"natural-language-processing",{"key":707,"label":708,"slug":707,"count":28},"ms-azure","MS Azure",{"key":710,"label":711,"slug":710,"count":28},"arcgis","Arcgis",{"key":713,"label":714,"slug":713,"count":83},"nosql","Nosql",[716,718],{"key":22,"label":22,"count":717},118,{"key":124,"label":124,"count":39},[720,721],{"key":25,"label":25,"count":717},{"key":722,"label":722,"count":71},"PART_TIME"]