[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-search-\u002Fen-us\u002Fjobs-by-skill\u002Fsas?page=2":3,"seo-content-skill-sas-us":554,"skill-page-filters-\u002Fen-us\u002Fjobs-by-skill\u002Fsas?page=2":584,"featured-jobs-\u002Fen-us\u002Fjobs-by-skill\u002Fsas?page=2":750},{"total":4,"jobs":5},63,[6,73,107,138,165,188,212,236,251,283,305,331,361,384,412,433,452,477,503,529],{"id":7,"slug":8,"title":9,"raw_title":10,"is_featured":11,"company":12,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":16,"processed_country_iso_code_gmaps":18,"processed_home_office":20,"processed_salary_min":21,"processed_salary_max":22,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":25,"processed_employment_types":27,"processed_it_skills":28,"processed_it_skills_labels":31,"processed_job_expertise_skills":44,"processed_job_expertise_skills_labels":45,"max_cpc":71,"actual_cpc":72},86868,"senior-financial-risk-analytics-engineer-santander-holdings-usa-inc","Senior Financial Risk Analytics Engineer",null,false,{"name":13,"slug":14,"logo_url":15},"Santander Holdings USA, Inc.","santander-holdings-usa-inc","\u002Fimages\u002Flogos\u002Fsantander-logo-2018.svg",[17],"Stamford",[19],"US","onsite",108750,180000,"USD","estimated",[26],"FULL_TIME","permanent",{"r":29,"aws":30,"gcp":30,"sas":29,"sql":29,"azure":30,"ci\u002Fcd":30,"oracle":29,"python":29,"tableau":30,"qlik sense":30,"apache airflow":30},4,3,[32,33,34,35,36,37,38,39,40,41,42,43],"SQL","Oracle","SAS","R","Python","AWS","Azure","GCP","Apache Airflow","Tableau","Qlik Sense","CI\u002FCD",{"cecl":29,"analytics":29,"reserving":29,"dashboarding":30,"underwriting":29,"stress testing":29,"data engineering":29,"machine learning":29,"credit scorecards":29,"data orchestration":30,"data visualization":29,"credit loss modeling":29,"predictive analytics":29,"software engineering":29,"statistical modeling":29,"business intelligence":30,"financial forecasting":29,"model risk management":30,"regulatory compliance":29,"cloud-native analytics":30,"optimization techniques":29,"consumer banking products":29,"risk management practices":29,"commercial banking products":29,"relational database management systems":29},[46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70],"Relational Database Management Systems","Software Engineering","Data Engineering","Analytics","Credit Loss Modeling","Stress Testing","Reserving","Underwriting","Financial Forecasting","Model Risk Management","Regulatory Compliance","Statistical Modeling","Machine Learning","Optimization Techniques","Predictive Analytics","Data Visualization","Business Intelligence","Dashboarding","Commercial Banking Products","Consumer Banking Products","Risk Management Practices","CECL","Credit Scorecards","Cloud-native Analytics","Data Orchestration",1,1.5,{"id":74,"slug":75,"title":76,"raw_title":10,"is_featured":11,"company":77,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":80,"processed_country_iso_code_gmaps":82,"processed_home_office":83,"processed_salary_min":84,"processed_salary_max":85,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":86,"processed_employment_types":27,"processed_it_skills":87,"processed_it_skills_labels":88,"processed_job_expertise_skills":94,"processed_job_expertise_skills_labels":95,"max_cpc":71,"actual_cpc":72},83627,"senior-analytics-data-engineer-government-employees-insurance-company","Senior Analytics Data Engineer",{"name":78,"slug":79,"logo_url":10},"Government Employees Insurance Company","government-employees-insurance-company",[81],"Bethesda",[19],"hybrid",73800,141450,[26],{"dbt":29,"sas":30,"sql":29,"github":29,"airflow":29,"power bi":30,"azure data factory":30},[89,90,91,32,92,93,34],"dbt","GitHub","Airflow","Azure Data Factory","Power BI",{"etl\u002Felt":29,"data modeling":29,"data migration":30,"data pipelines":29,"data warehousing":29,"agile methodology":30,"data architecture":29,"performance tuning":30,"project management":30,"root cause analysis":30,"property & casualty insurance":30},[96,97,98,99,100,101,102,103,104,105,106],"Data Architecture","Data Modeling","ETL\u002FELT","Data Warehousing","Data Pipelines","Data Migration","Performance Tuning","Root Cause Analysis","Agile Methodology","Project Management","Property & Casualty Insurance",{"id":108,"slug":109,"title":110,"raw_title":10,"is_featured":11,"company":111,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":114,"processed_country_iso_code_gmaps":116,"processed_home_office":20,"processed_salary_min":117,"processed_salary_max":118,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":119,"processed_employment_types":27,"processed_it_skills":120,"processed_it_skills_labels":121,"processed_job_expertise_skills":123,"processed_job_expertise_skills_labels":124,"max_cpc":71,"actual_cpc":72},88465,"senior-manager-bond-and-specialty-insurance-pricing-travelers-indemnity-co","Senior Manager – Bond and Specialty Insurance Pricing",{"name":112,"slug":113,"logo_url":10},"Travelers Indemnity Co","travelers-indemnity-co",[115],"Hartford",[19],120400,198700,[26],{"sas":30,"sql":30,"ms office":30},[32,34,122],"MS Office",{"sales":30,"claims":30,"financials":30,"operations":30,"reinsurance":30,"distribution":30,"rate filings":30,"risk control":30,"underwriting":30,"actuarial analysis":29,"project management":29,"strategic planning":29,"statistical concepts":29,"quantitative analysis":29,"insurance products knowledge":29},[125,126,127,128,129,105,130,53,131,132,133,134,135,136,137],"Actuarial Analysis","Quantitative Analysis","Statistical Concepts","Insurance Products Knowledge","Strategic Planning","Rate Filings","Reinsurance","Distribution","Sales","Operations","Risk Control","Claims","Financials",{"id":139,"slug":140,"title":141,"raw_title":10,"is_featured":11,"company":142,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":143,"processed_country_iso_code_gmaps":145,"processed_home_office":83,"processed_salary_min":146,"processed_salary_max":147,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":148,"processed_employment_types":27,"processed_it_skills":149,"processed_it_skills_labels":150,"processed_job_expertise_skills":155,"processed_job_expertise_skills_labels":156,"max_cpc":71,"actual_cpc":72},83826,"business-analytics-analyst-iii-government-employees-insurance-company","Business Analytics Analyst III",{"name":78,"slug":79,"logo_url":10},[144],"Dallas",[19],80000,120000,[26],{"sas":30,"sql":30,"oracle":30,"power bi":29,"snowflake":30,"sharepoint":29,"microsoft excel":29,"microsoft office suite":29},[93,151,152,153,32,34,33,154],"SharePoint","Microsoft Excel","Microsoft Office Suite","Snowflake",{"automation":30,"data analysis":29,"business analysis":29,"data visualization":29,"report development":29,"strategic planning":30,"customer experience":29,"process improvement":29,"dashboard development":29,"insurance industry knowledge":29},[157,158,159,160,161,162,163,61,129,164],"Business Analysis","Data Analysis","Process Improvement","Customer Experience","Insurance Industry Knowledge","Report Development","Dashboard Development","Automation",{"id":166,"slug":167,"title":168,"raw_title":10,"is_featured":11,"company":169,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":170,"processed_country_iso_code_gmaps":171,"processed_home_office":83,"processed_salary_min":172,"processed_salary_max":173,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":174,"processed_employment_types":27,"processed_it_skills":175,"processed_it_skills_labels":177,"processed_job_expertise_skills":179,"processed_job_expertise_skills_labels":180,"max_cpc":71,"actual_cpc":72},83615,"pricing-analyst-specialty-pricing-government-employees-insurance-company","Pricing Analyst - Specialty Pricing",{"name":78,"slug":79,"logo_url":10},[81],[19],58425,91225,[26],{"r":176,"sas":176,"excel":30,"python":176,"power bi":176},2,[178,35,34,36,93],"Excel",{"ratemaking":30,"actuarial pricing":30,"insurance pricing":30,"process improvement":30,"product development":30,"statistical analysis":30,"profitability analysis":30,"stakeholder management":30},[181,182,183,184,185,186,159,187],"Statistical Analysis","Ratemaking","Insurance Pricing","Actuarial Pricing","Product Development","Profitability Analysis","Stakeholder Management",{"id":189,"slug":190,"title":191,"raw_title":10,"is_featured":11,"company":192,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":195,"processed_country_iso_code_gmaps":197,"processed_home_office":83,"processed_salary_min":146,"processed_salary_max":198,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":199,"processed_employment_types":27,"processed_it_skills":200,"processed_it_skills_labels":201,"processed_job_expertise_skills":203,"processed_job_expertise_skills_labels":204,"max_cpc":71,"actual_cpc":72},74849,"senior-lead-regulatory-reporting-analyst-keybank-national-association","Senior Lead Regulatory Reporting Analyst",{"name":193,"slug":194,"logo_url":10},"KeyBank National Association","keybank-national-association",[196],"Brooklyn",[19],150000,[26],{"sas":30,"sql":30,"axiom":30,"excel":29,"power bi":30},[178,32,34,202,93],"Axiom",{"accounting":30,"data analysis":29,"data governance":29,"risk management":29,"change management":30,"internal controls":29,"financial reporting":29,"process improvement":30,"regulatory reporting":29},[205,206,207,208,209,210,158,159,211],"Regulatory Reporting","Risk Management","Data Governance","Financial Reporting","Accounting","Internal Controls","Change Management",{"id":213,"slug":214,"title":215,"raw_title":10,"is_featured":11,"company":216,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":219,"processed_country_iso_code_gmaps":221,"processed_home_office":20,"processed_salary_min":222,"processed_salary_max":223,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":224,"processed_employment_types":27,"processed_it_skills":225,"processed_it_skills_labels":226,"processed_job_expertise_skills":227,"processed_job_expertise_skills_labels":228,"max_cpc":71,"actual_cpc":72},69189,"chief-analytics-officer-associated-bank-na","Chief Analytics Officer",{"name":217,"slug":218,"logo_url":10},"Associated Bank, NA","associated-bank-na",[220],"Milwaukee",[19],182070,312120,[26],{"r":29,"sas":29,"sql":29,"python":29,"tableau":29,"power bi":29},[36,35,34,32,41,93],{"banking":29,"team building":29,"data analytics":29,"kpi definition":29,"machine learning":29,"data visualization":29,"statistical models":29,"strategic planning":29,"marketing analytics":29,"predictive modeling":29},[229,230,58,231,232,233,234,235,61,129],"Data Analytics","Statistical Models","Marketing Analytics","Banking","Team Building","Predictive Modeling","KPI Definition",{"id":237,"slug":238,"title":239,"raw_title":10,"is_featured":11,"company":240,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":241,"processed_country_iso_code_gmaps":242,"processed_home_office":83,"processed_salary_min":243,"processed_salary_max":244,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":245,"processed_employment_types":27,"processed_it_skills":246,"processed_it_skills_labels":247,"processed_job_expertise_skills":248,"processed_job_expertise_skills_labels":249,"max_cpc":71,"actual_cpc":72},74851,"senior-regulatory-reporting-analyst-keybank-national-association","Senior Regulatory Reporting Analyst",{"name":193,"slug":194,"logo_url":10},[196],[19],69000,105000,[26],{"sas":176,"sql":176,"axiom":176,"excel":30,"power bi":176},[178,32,34,202,93],{"finance":30,"accounting":30,"data analysis":29,"data governance":30,"risk management":30,"change management":30,"process improvement":30,"regulatory reporting":29},[205,158,206,207,209,250,159,211],"Finance",{"id":252,"slug":253,"title":254,"raw_title":10,"is_featured":11,"company":255,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":258,"processed_country_iso_code_gmaps":260,"processed_home_office":83,"processed_salary_min":261,"processed_salary_max":262,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":263,"processed_employment_types":27,"processed_it_skills":264,"processed_it_skills_labels":265,"processed_job_expertise_skills":269,"processed_job_expertise_skills_labels":270,"max_cpc":71,"actual_cpc":72},75916,"global-financial-crimes-compliance-testing-avp-mufg-bank-ltd","Global Financial Crimes - Compliance Testing, AVP",{"name":256,"slug":257,"logo_url":10},"MUFG Bank, Ltd.","mufg-bank-ltd",[259],"Irving",[19],90000,118000,[26],{"sas":30,"sql":29,"python":29,"hotscan":30,"actimize":30,"fircosoft":30},[32,36,34,266,267,268],"Actimize","HotScan","Fircosoft",{"aml":30,"chips":30,"swift":30,"fedwire":30,"auditing":30,"sanctions":30,"data lineage":30,"data analysis":29,"wire payments":30,"risk assessment":30,"systems testing":29,"correspondent banking":30,"financial crimes compliance":29},[271,272,158,273,274,275,276,277,278,279,280,281,282],"Financial Crimes Compliance","Systems Testing","AML","Sanctions","Wire Payments","Correspondent Banking","SWIFT","FEDWIRE","CHIPS","Data Lineage","Risk Assessment","Auditing",{"id":284,"slug":285,"title":286,"raw_title":10,"is_featured":11,"company":287,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":290,"processed_country_iso_code_gmaps":292,"processed_home_office":83,"processed_salary_min":293,"processed_salary_max":294,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":295,"processed_employment_types":27,"processed_it_skills":296,"processed_it_skills_labels":297,"processed_job_expertise_skills":298,"processed_job_expertise_skills_labels":299,"max_cpc":71,"actual_cpc":72},75613,"senior-quantitative-risk-analyst-bsaaml-manufacturers-and-traders-trust-co","Senior Quantitative Risk Analyst - BSA\u002FAML",{"name":288,"slug":289,"logo_url":10},"Manufacturers and Traders Trust Co","manufacturers-and-traders-trust-co",[291],"Buffalo",[19],85800,143000,[26],{"sas":30,"python":30},[36,34],{"aml\u002Fbsa":176,"data preparation":30,"machine learning":176,"model validation":176,"model development":30,"statistical modeling":30,"model risk management":176,"regulatory compliance":30,"banking or financial services":30},[57,58,300,301,302,55,303,304,56],"Data Preparation","Model Development","Model Validation","AML\u002FBSA","Banking or Financial Services",{"id":306,"slug":307,"title":308,"raw_title":10,"is_featured":11,"company":309,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":312,"processed_country_iso_code_gmaps":314,"processed_home_office":20,"processed_salary_min":315,"processed_salary_max":316,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":317,"processed_employment_types":27,"processed_it_skills":318,"processed_it_skills_labels":319,"processed_job_expertise_skills":320,"processed_job_expertise_skills_labels":321,"max_cpc":71,"actual_cpc":72},69053,"pricing-analyst-arch-us-mi-services-inc","Pricing Analyst",{"name":310,"slug":311,"logo_url":10},"Arch U.S. MI Services Inc.","arch-us-mi-services-inc",[313],"Greensboro",[19],70000,100000,[26],{"sas":30,"sql":30,"excel":29,"python":30,"power bi":30,"ms office":29,"snowflake":30},[178,34,36,32,154,93,122],{"training":30,"reinsurance":176,"data analysis":29,"documentation":30,"pricing strategy":30,"quantitative methods":30,"modern portfolio theory":30,"mortgage lending pricing":176,"financial risk management":30,"product pricing methodologies":30,"discounted cash flow methodology":30},[322,323,324,325,326,327,131,328,158,329,330],"Quantitative Methods","Product Pricing Methodologies","Discounted Cash Flow Methodology","Modern Portfolio Theory","Mortgage Lending Pricing","Financial Risk Management","Pricing Strategy","Documentation","Training",{"id":332,"slug":333,"title":334,"raw_title":10,"is_featured":11,"company":335,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":338,"processed_country_iso_code_gmaps":340,"processed_home_office":20,"processed_salary_min":341,"processed_salary_max":342,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":343,"processed_employment_types":27,"processed_it_skills":344,"processed_it_skills_labels":345,"processed_job_expertise_skills":348,"processed_job_expertise_skills_labels":349,"max_cpc":71,"actual_cpc":72},75848,"public-finance-waterfall-modeling-team-lead-global-capital-markets-quantitative-risk-analyst-wilmington-trust-na","Public Finance Waterfall Modeling Team Lead - Global Capital Markets Quantitative Risk Analyst",{"name":336,"slug":337,"logo_url":10},"Wilmington Trust N.A.","wilmington-trust-na",[339],"Wilmington",[19],136000,226600,[26],{"sas":29,"sql":29,"excel":29,"microsoft office":29,"sas enterprise miner":30},[34,346,32,347,178],"SAS Enterprise Miner","Microsoft Office",{"data analysis":29,"process design":29,"public finance":29,"risk management":29,"model governance":29,"municipal finance":29,"quality assurance":29,"financial modeling":29,"waterfall modeling":29,"legal documentation":30,"statistical analysis":30,"operational excellence":29,"document interpretation":29,"transaction administration":30},[350,351,352,353,354,355,206,356,357,358,158,181,359,360],"Financial Modeling","Waterfall Modeling","Public Finance","Municipal Finance","Document Interpretation","Quality Assurance","Model Governance","Process Design","Operational Excellence","Transaction Administration","Legal Documentation",{"id":362,"slug":363,"title":364,"raw_title":10,"is_featured":11,"company":365,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":368,"processed_country_iso_code_gmaps":370,"processed_home_office":20,"processed_salary_min":316,"processed_salary_max":371,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":372,"processed_employment_types":27,"processed_it_skills":373,"processed_it_skills_labels":374,"processed_job_expertise_skills":375,"processed_job_expertise_skills_labels":376,"max_cpc":71,"actual_cpc":72},70170,"sr-manager-business-analytics-reporting-bmo-bank-na","Sr. Manager, Business Analytics & Reporting",{"name":366,"slug":367,"logo_url":10},"BMO Bank N.A.","bmo-bank-na",[369],"Chicago",[19],220000,[26],{"sas":29,"python":29,"power bi":29},[34,36,93],{"data governance":29,"risk management":29,"change management":29,"portfolio analytics":29,"regulatory reporting":29,"credit risk analytics":29,"stakeholder management":29,"key risk indicators (kris)":29,"capital-at-risk assessments":29,"strategic initiative leadership":29,"business banking lending products":29,"key performance indicators (kpis)":29},[377,206,205,378,379,380,381,382,207,383,211,187],"Credit Risk Analytics","Portfolio Analytics","Key Risk Indicators (KRIs)","Key Performance Indicators (KPIs)","Capital-at-Risk Assessments","Business Banking Lending Products","Strategic Initiative Leadership",{"id":385,"slug":386,"title":387,"raw_title":10,"is_featured":11,"company":388,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":389,"processed_country_iso_code_gmaps":391,"processed_home_office":83,"processed_salary_min":392,"processed_salary_max":393,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":394,"processed_employment_types":27,"processed_it_skills":395,"processed_it_skills_labels":396,"processed_job_expertise_skills":399,"processed_job_expertise_skills_labels":400,"max_cpc":71,"actual_cpc":72},85773,"credit-model-development-quantitative-analyst-ii-hybrid-see-job-description-for-listed-locations-manufacturers-and-traders-trust-co","Credit Model Development Quantitative Analyst II (Hybrid - See Job Description for Listed Locations)",{"name":288,"slug":289,"logo_url":10},[390],"Bridgeport",[19],87200,145400,[26],{"r":30,"sas":30,"sql":30,"stata":30,"python":30,"sql server management studio":30},[32,34,36,397,35,398],"Stata","SQL Server Management Studio",{"data analysis":30,"capital planning":30,"model validation":30,"data visualization":30,"financial analysis":30,"panel data methods":30,"logistic regression":30,"econometric modeling":30,"statistical analysis":30,"time series analysis":30,"model risk management":30,"regulatory compliance":30,"credit risk management":30,"balance sheet management":30,"liquidity risk management":30,"interest rate risk management":30,"quantitative behavioral modeling":30},[401,402,403,404,405,406,407,408,409,410,55,302,411,158,181,61,56],"Quantitative Behavioral Modeling","Econometric Modeling","Credit Risk Management","Interest Rate Risk Management","Liquidity Risk Management","Balance Sheet Management","Capital Planning","Time Series Analysis","Logistic Regression","Panel Data Methods","Financial Analysis",{"id":413,"slug":414,"title":415,"raw_title":10,"is_featured":11,"company":416,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":417,"processed_country_iso_code_gmaps":418,"processed_home_office":20,"processed_salary_min":419,"processed_salary_max":420,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":421,"processed_employment_types":27,"processed_it_skills":422,"processed_it_skills_labels":423,"processed_job_expertise_skills":426,"processed_job_expertise_skills_labels":427,"max_cpc":71,"actual_cpc":72},88464,"senior-director-behavioral-scientist-travelers-indemnity-co","Senior Director, Behavioral Scientist",{"name":112,"slug":113,"logo_url":10},[115],[19],126500,208700,[26],{"r":30,"sas":30,"excel":30,"python":30,"natural language processing":30,"design thinking collaboration software":30},[178,35,34,36,424,425],"Natural Language Processing","Design Thinking Collaboration Software",{"data analysis":29,"user research":29,"design thinking":29,"change management":30,"behavioral science":29,"experimental design":29,"product development":30,"financial impact analysis":30},[428,429,158,430,431,211,185,432],"Behavioral Science","Experimental Design","User Research","Design Thinking","Financial Impact Analysis",{"id":434,"slug":435,"title":436,"raw_title":10,"is_featured":11,"company":437,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":438,"processed_country_iso_code_gmaps":439,"processed_home_office":20,"processed_salary_min":440,"processed_salary_max":441,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":442,"processed_employment_types":27,"processed_it_skills":443,"processed_it_skills_labels":444,"processed_job_expertise_skills":445,"processed_job_expertise_skills_labels":446,"max_cpc":71,"actual_cpc":72},88432,"director-behavioral-scientist-travelers-indemnity-co","Director, Behavioral Scientist",{"name":112,"slug":113,"logo_url":10},[115],[19],114700,189200,[26],{"r":30,"sas":30,"excel":30,"python":30,"natural language processing":30,"design thinking collaboration software":176},[178,35,34,36,424,425],{"data analysis":29,"user research":29,"experimental research":29,"semi-structured interviews":29,"design thinking facilitation":29,"insurance industry knowledge":30,"behavioral science frameworks":29,"statistically based text analysis":30},[447,448,158,449,450,430,451,161],"Behavioral Science Frameworks","Experimental Research","Semi-structured Interviews","Design Thinking Facilitation","Statistically Based Text Analysis",{"id":453,"slug":454,"title":455,"raw_title":10,"is_featured":11,"company":456,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":459,"processed_country_iso_code_gmaps":461,"processed_home_office":83,"processed_salary_min":315,"processed_salary_max":316,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":462,"processed_employment_types":27,"processed_it_skills":463,"processed_it_skills_labels":464,"processed_job_expertise_skills":467,"processed_job_expertise_skills_labels":468,"max_cpc":71,"actual_cpc":72},76239,"atm-strategy-atm-analytics-business-intelligence-specialist-state-employees-credit-union","ATM Strategy – ATM Analytics Business Intelligence Specialist",{"name":457,"slug":458,"logo_url":10},"State Employees' Credit Union","state-employees-credit-union",[460],"Raleigh",[19],[26],{"jmp":30,"sas":30,"sql":30,"spss":30,"power bi":30,"microsoft office":29},[347,465,466,32,34,93],"JMP","SPSS",{"forecasting":29,"benchmarking":30,"kpi tracking":30,"data analysis":29,"atm operations":30,"data visualization":29,"financial analysis":29,"statistical methods":29,"cost benefit analysis":29,"logistics coordination":176,"profitability analysis":30,"mathematical techniques":29},[158,469,470,471,472,411,61,473,186,474,475,476],"Statistical Methods","Mathematical Techniques","Forecasting","Cost Benefit Analysis","Benchmarking","KPI Tracking","ATM Operations","Logistics Coordination",{"id":478,"slug":479,"title":480,"raw_title":10,"is_featured":11,"company":481,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":482,"processed_country_iso_code_gmaps":484,"processed_home_office":83,"processed_salary_min":485,"processed_salary_max":371,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":486,"processed_employment_types":27,"processed_it_skills":487,"processed_it_skills_labels":488,"processed_job_expertise_skills":490,"processed_job_expertise_skills_labels":491,"max_cpc":71,"actual_cpc":72},83595,"manager-research-and-development-i-government-employees-insurance-company","Manager, Research and Development I",{"name":78,"slug":79,"logo_url":10},[483],"Cleveland",[19],110000,[26],{"r":29,"sas":29,"sql":29,"excel":29,"cloud database":30},[34,32,489,35,178],"Cloud database",{"claims":30,"budgeting":30,"marketing":30,"data mining":29,"underwriting":30,"process control":30,"agent operations":30,"graphic analysis":29,"project management":30,"data interpretation":29,"predictive modeling":29,"statistical methods":29,"staffing projections":30,"statistical modeling":29,"performance appraisals":30,"data sampling techniques":29,"insurance rating products and principles":29},[469,492,57,493,234,494,495,136,53,496,497,498,105,499,500,501,502],"Data Sampling Techniques","Graphic Analysis","Data Mining","Insurance Rating Products and Principles","Marketing","Agent Operations","Process Control","Budgeting","Staffing Projections","Performance Appraisals","Data Interpretation",{"id":504,"slug":505,"title":506,"raw_title":10,"is_featured":11,"company":507,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":511,"processed_country_iso_code_gmaps":513,"processed_home_office":20,"processed_salary_min":22,"processed_salary_max":22,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":514,"processed_employment_types":515,"processed_it_skills":516,"processed_it_skills_labels":517,"processed_job_expertise_skills":520,"processed_job_expertise_skills_labels":521,"max_cpc":71,"actual_cpc":72},76583,"2027-mba-mfe-summer-intern-associate-portfolio-management-pacific-investment-mgt-co-llc","2027 MBA \u002FMFE Summer Intern – Associate, Portfolio Management",{"name":508,"slug":509,"logo_url":510},"Pacific Investment Mgt Co. LLC","pacific-investment-mgt-co-llc","https:\u002F\u002Fupload.wikimedia.org\u002Fwikipedia\u002Fcommons\u002Fthumb\u002F4\u002F49\u002FPIMCO_Logo.svg\u002F330px-PIMCO_Logo.svg.png",[512],"Newport Beach",[19],[26],"student",{"c++":176,"sas":176,"sql":176,"matlab":176,"python":176},[32,36,518,34,519],"Matlab","C++",{"ai tools":176,"econometrics":176,"data analysis":30,"finance theory":30,"asset allocation":30,"portfolio theory":30,"trading strategies":30,"time series analysis":176,"financial forecasting":30,"investment strategies":30},[522,523,524,525,408,526,527,54,158,528],"Finance Theory","Portfolio Theory","Asset Allocation","Econometrics","Investment Strategies","Trading Strategies","AI Tools",{"id":530,"slug":531,"title":532,"raw_title":10,"is_featured":11,"company":533,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":536,"processed_country_iso_code_gmaps":538,"processed_home_office":20,"processed_salary_min":539,"processed_salary_max":540,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":541,"processed_employment_types":515,"processed_it_skills":542,"processed_it_skills_labels":543,"processed_job_expertise_skills":546,"processed_job_expertise_skills_labels":547,"max_cpc":71,"actual_cpc":72},66447,"2027-summer-associate-quantitative-rotation-program-td-securities-usa-llc","2027 Summer Associate - Quantitative Rotation Program",{"name":534,"slug":535,"logo_url":10},"TD Securities (USA) LLC","td-securities-usa-llc",[537],"New York",[19],30,60,[26],{"r":29,"c++":30,"sas":30,"sql":30,"java":30,"spark":30,"python":29},[36,35,34,32,544,545,519],"Spark","Java",{"valuation":30,"data science":29,"risk management":30,"trading analytics":30,"statistical analysis":29,"algorithm development":30,"quantitative modeling":29,"financial markets knowledge":30},[548,181,549,550,206,551,552,553],"Quantitative Modeling","Data Science","Algorithm Development","Valuation","Financial Markets Knowledge","Trading Analytics",{"image_path":555,"content_de":556,"content_en":569,"composite_key":582,"last_updated":583},"\u002Fimages\u002Fskill\u002Fsas.webp",{"tab1":557,"tab2":560,"tab3":563,"tab4":566},{"title":558,"content":559},"Bedeutung & Relevanz","SAS (Statistical Analysis System) spielt eine entscheidende Rolle in den **Vereinigten Staaten**, insbesondere im Finanzsektor. Als leistungsstarke Software für statistische Analysen, Datenmanagement und Business Intelligence ermöglicht SAS Finanzinstituten, komplexe Daten zu verarbeiten und fundierte Entscheidungen zu treffen. In den USA, wo Datenvolumen und regulatorische Anforderungen stetig steigen, ist SAS unverzichtbar für **Risikomanagement**, **Finanzanalyse** und **Portfoliomanagement**. Unternehmen nutzen SAS, um Markttrends zu identifizieren, Kreditrisiken zu bewerten und Investitionsstrategien zu optimieren. Die Fähigkeit, große Datensätze effizient zu analysieren, macht SAS zu einem Schlüsselinstrument für Wettbewerbsvorteile in dynamischen Märkten wie den **Vereinigten Staaten**. Mit seiner Robustheit und Skalierbarkeit unterstützt SAS auch Compliance-Anforderungen, was in streng regulierten Branchen wie dem **Banking** und **Asset Management** von großer Bedeutung ist.",{"title":561,"content":562},"Top-Branchen & Standorte","In den **Vereinigten Staaten** ist die Nachfrage nach SAS-Fachkräften in mehreren Schlüsselbranchen und -standorten konzentriert. Führende Branchen umfassen **Asset Management**, **Finance** und **Investment Management**, wo SAS für datengesteuerte Entscheidungen in **Portfoliomanagement** und **Risikomanagement** eingesetzt wird. Top-Standorte mit hohem Bedarf sind **Newport Beach** und **Kansas City**, die als Zentren für Finanzdienstleistungen und Technologieinnovationen gelten. In **Newport Beach** nutzen Unternehmen SAS zur Analyse von Finanzmärkten und zur Entwicklung quantitativer Handelsstrategien, während **Kansas City** sich auf Anwendungen in der Verbraucherkreditanalyse und Spezialfinanzierung konzentriert. Diese Standorte bieten zahlreiche Möglichkeiten für SAS-Experten, da lokale Unternehmen wie **Pacific Investment Mgt Co. LLC** und **CM003 American Century Services, LLC** auf SAS angewiesen sind, um Wettbewerbsfähigkeit in Bereichen wie **Marktanalyse** und **Finanzmodellierung** zu erhalten.",{"title":564,"content":565},"Gefragte Skills & Arbeitgeber","SAS-Profis in den **Vereinigten Staaten** benötigen ein breites Spektrum an verwandten Expertisen und werden von Top-Unternehmen stark nachgefragt. Zu den gefragten Expertisen gehören **Finanzdatenanalyse**, **statistische Modellierung**, **quantitative Analyse**, **Risikomanagement** und **Portfoliomanagement**. Diese Fähigkeiten werden mit SAS kombiniert, um komplexe Finanzmodelle, Zeitreihenanalysen und Asset-Allokationstechniken umzusetzen. Führende Arbeitgeber wie **Pacific Investment Mgt Co. LLC** und **CM003 American Century Services, LLC** setzen SAS für Aufgaben wie **ökonomische Modellierung**, **Optionspreisberechnung** und **Risikobewertung** ein. Zusätzlich sind Kenntnisse in **Projektmanagement** und **agilen Methoden** wertvoll, um SAS-Projekte effizient zu steuern. In Branchen wie **Asset Management** und **Banking** suchen diese Unternehmen nach Talenten, die SAS mit Expertisen wie **Finanzmathematik** und **Anlagestrategien** verbinden können, um datengetriebene Lösungen in dynamischen US-Märkten zu entwickeln.",{"title":567,"content":568},"Karriere & Entwicklung","Karrierewege für SAS-Experten in den **Vereinigten Staaten** sind vielfältig und reichen von Rollen wie Data Analyst über Quantitative Analyst bis hin zum Risk Manager. Um SAS zu erlernen, empfehlen sich Zertifizierungen (z.B. SAS Certified Professional), Online-Kurse und praktische Projekte mit realen Finanzdaten. Die Kombination von SAS mit verwandten IT-Skills wie **SQL**, **Python**, **R** und Cloud-Technologien (z.B. **AWS**) steigert die Berufschancen erheblich. Inhaltlich sollten Lernende Expertisen wie **Finanzanalyse**, **Datenmodellierung** und **Risikomanagement** vertiefen, um in US-Branchen wie **Asset Management** erfolgreich zu sein. Fortgeschrittene Themen umfassen die Integration von SAS mit Tools wie **Tableau** für Visualisierungen und **Kafka** für Echtzeitdatenverarbeitung. Durch kontinuierliche Weiterbildung in Bereichen wie **künstliche Intelligenz** und **Data Engineering** können Fachkräfte ihre Karriere vorantreiben und Führungspositionen in Unternehmen wie **Pacific Investment Mgt Co. LLC** erreichen, die auf innovative Datenlösungen in den **Vereinigten Staaten** angewiesen sind.",{"tab1":570,"tab2":573,"tab3":576,"tab4":579},{"title":571,"content":572},"Strategic Importance","SAS (Statistical Analysis System) maintains significant strategic importance in the **United States** financial sector, particularly within quantitative finance and data-driven investment management. As one of the most established statistical programming languages, SAS provides robust capabilities for handling large financial datasets, performing complex statistical analyses, and ensuring regulatory compliance. In the **United States**, where financial institutions must navigate stringent reporting requirements from agencies like the SEC and FINRA, SAS offers validated analytical procedures that meet compliance standards.\n\nMajor financial hubs across the **United States** rely on SAS for critical functions including risk modeling, portfolio optimization, and financial forecasting. The language's stability and enterprise-grade security features make it particularly valuable for handling sensitive financial data at scale. While newer languages like Python and R have gained popularity, SAS remains deeply embedded in legacy systems and continues to be essential for organizations requiring certified, auditable analytical processes in quantitative finance and regulatory reporting.",{"title":574,"content":575},"Top Industries & Locations","SAS expertise is concentrated in specific financial hubs and industry sectors across the **United States**. In **Newport Beach**, home to major investment firms, SAS is heavily utilized for quantitative analysis and portfolio management within the **[Asset Management](\u002Fjobs-by-industry\u002Fasset-management)** and **[Investment Management](\u002Fjobs-by-industry\u002Fasset-management-investment-management)** sectors. Similarly, **Kansas City** features strong demand for SAS professionals in financial services and **[Banking](\u002Fjobs-by-industry\u002Fbanking)** operations.\n\nThe primary industries driving SAS demand include **[Asset Management Financial Services](\u002Fjobs-by-industry\u002Fasset-management-financial-services)**, where SAS supports complex financial modeling and risk assessment, and traditional **[Banking And Asset Management](\u002Fjobs-by-industry\u002Fbanking-and-asset-management)** operations requiring regulatory compliance and reporting. Financial institutions in these locations leverage SAS for everything from credit risk modeling and fraud detection to investment performance analysis and regulatory reporting, making it a cornerstone technology in data-intensive financial operations.",{"title":577,"content":578},"In-Demand Skills & Employers","Leading financial institutions in the **United States** actively seek SAS professionals with complementary expertise in quantitative finance and data management. Top employers like **Pacific Investment Mgt Co. LLC** and **CM003 American Century Services, LLC** require SAS specialists who can integrate statistical analysis with **[Financial Modeling](\u002Fjobs-by-expertise\u002Ffinancial-modeling)** and **[Risk Management](\u002Fjobs-by-expertise\u002Frisk-management)**.\n\nThese companies particularly value SAS expertise combined with **[Financial Analysis](\u002Fjobs-by-expertise\u002Ffinancial-analysis)** capabilities for investment decision support and **[Portfolio Management](\u002Fjobs-by-expertise\u002Fportfolio-management)** optimization. The most sought-after SAS professionals also possess skills in econometric modeling, time series analysis, and statistical inference for **[Market Analysis](\u002Fjobs-by-expertise\u002Fmarket-analysis)**. Additional valuable expertise includes **[Financial Markets](\u002Fjobs-by-expertise\u002Ffinancial-markets)** knowledge, asset pricing models, and quantitative trading strategy development, making SAS professionals with these combined skills highly competitive in the **United States** financial job market.",{"title":580,"content":581},"Career & Development","SAS professionals in the **United States** financial sector typically follow career paths ranging from SAS Programmer and Data Analyst roles to Quantitative Analyst and Risk Modeling Specialist positions. Advancement often involves mastering complementary technologies like **[SQL](\u002Fjobs-by-skill\u002Fsql)** for database management and **[Python](\u002Fjobs-by-skill\u002Fpython)** for advanced analytics integration.\n\nCareer development typically includes SAS certification programs and specialized training in financial applications. Professionals should focus on building expertise in **[Financial Modeling](\u002Fjobs-by-expertise\u002Ffinancial-modeling)**, econometrics, and statistical modeling to enhance their value in investment management roles. Learning cloud platforms like AWS and data visualization tools such as Tableau can significantly boost career prospects. Many successful SAS professionals in finance also develop strong backgrounds in **[Risk Management](\u002Fjobs-by-expertise\u002Frisk-management)** and portfolio theory, enabling them to transition into senior analytical and leadership positions within major financial institutions across the **United States**.","skill:sas:us","2026-08-17T09:02:34.207510+02:00",{"industry":585,"employment_type":610,"expertise_skills":619,"it_skills":678,"salary_currency":743,"processed_working_hours":745},[586,590,593,597,601,604,607],{"key":587,"label":588,"count":589},"financial services","Financial Services",29,{"key":591,"label":232,"count":592},"banking",21,{"key":594,"label":595,"count":596},"insurance","Insurance",20,{"key":598,"label":599,"count":600},"property","Property",5,{"key":602,"label":603,"count":600},"casualty insurance","Casualty Insurance",{"key":605,"label":606,"count":176},"asset management","Asset Management",{"key":608,"label":609,"count":71},"alternative asset management","Alternative Asset Management",[611,614,616],{"key":27,"label":612,"count":613},"PERMANENT",57,{"key":515,"label":615,"count":29},"STUDENT",{"key":617,"label":618,"count":176},"temporary","TEMPORARY",[620,622,625,627,630,632,636,639,641,644,646,648,651,653,656,659,661,663,665,667,669,671,673,675],{"key":621,"label":158,"slug":621,"count":589},"data-analysis",{"key":623,"label":206,"slug":623,"count":624},"risk-management",15,{"key":626,"label":181,"slug":626,"count":624},"statistical-analysis",{"key":628,"label":61,"slug":628,"count":629},"data-visualization",14,{"key":631,"label":56,"slug":631,"count":629},"regulatory-compliance",{"key":633,"label":634,"slug":633,"count":635},"project-management","Project management",13,{"key":637,"label":57,"slug":637,"count":638},"statistical-modeling",9,{"key":640,"label":55,"slug":640,"count":638},"model-risk-management",{"key":642,"label":159,"slug":642,"count":643},"process-improvement",8,{"key":645,"label":411,"slug":645,"count":643},"financial-analysis",{"key":647,"label":302,"slug":647,"count":643},"model-validation",{"key":649,"label":494,"slug":649,"count":650},"data-mining",7,{"key":652,"label":126,"slug":652,"count":650},"quantitative-analysis",{"key":654,"label":655,"slug":654,"count":650},"actuarial-science","Actuarial Science",{"key":657,"label":207,"slug":657,"count":658},"data-governance",6,{"key":660,"label":129,"slug":660,"count":658},"strategic-planning",{"key":662,"label":525,"slug":662,"count":658},"econometrics",{"key":664,"label":58,"slug":664,"count":658},"machine-learning",{"key":666,"label":51,"slug":666,"count":658},"stress-testing",{"key":668,"label":409,"slug":668,"count":600},"logistic-regression",{"key":670,"label":350,"slug":670,"count":600},"financial-modeling",{"key":672,"label":182,"slug":672,"count":600},"ratemaking",{"key":674,"label":408,"slug":674,"count":600},"time-series-analysis",{"key":676,"label":677,"slug":676,"count":600},"pricing","Pricing",[679,682,685,687,690,694,698,701,703,705,707,710,712,715,718,720,722,725,727,730,732,734,737,740],{"key":680,"label":681,"slug":680,"count":4},"sas","Sas",{"key":683,"label":32,"slug":683,"count":684},"sql",46,{"key":686,"label":36,"slug":686,"count":684},"python",{"key":688,"label":35,"slug":688,"count":689},"r",37,{"key":691,"label":692,"slug":691,"count":693},"ms-excel","MS Excel",26,{"key":695,"label":696,"slug":695,"count":697},"ms-powerbi","MS PowerBI",19,{"key":699,"label":122,"slug":699,"count":700},"ms-office",10,{"key":702,"label":41,"slug":702,"count":638},"tableau",{"key":704,"label":518,"slug":704,"count":643},"matlab",{"key":706,"label":397,"slug":706,"count":650},"stata",{"key":708,"label":709,"slug":708,"count":650},"vba","Vba",{"key":711,"label":519,"slug":711,"count":658},"c",{"key":713,"label":714,"slug":713,"count":29},"ms-azure","MS Azure",{"key":716,"label":717,"slug":716,"count":29},"aws","Aws",{"key":719,"label":154,"slug":719,"count":29},"snowflake",{"key":721,"label":545,"slug":721,"count":29},"java",{"key":723,"label":724,"slug":723,"count":30},"spss","Spss",{"key":726,"label":33,"slug":726,"count":30},"oracle",{"key":728,"label":729,"slug":728,"count":176},"cobol","Cobol",{"key":731,"label":202,"slug":731,"count":176},"axiom",{"key":733,"label":153,"slug":733,"count":176},"microsoft-office-suite",{"key":735,"label":736,"slug":735,"count":176},"sharepoint","Sharepoint",{"key":738,"label":739,"slug":738,"count":176},"db2","Db2",{"key":741,"label":742,"slug":741,"count":176},"microsoft-copilot","Microsoft Copilot",[744],{"key":23,"label":23,"count":4},[746,748],{"key":26,"label":26,"count":747},62,{"key":749,"label":749,"count":71},"PART_TIME",{"total":751,"jobs":752},0,[]]