[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-search-\u002Fde-us\u002Fjobs-by-skill\u002Fmatlab?page=2":3,"seo-content-skill-matlab-us":136,"skill-page-filters-\u002Fde-us\u002Fjobs-by-skill\u002Fmatlab?page=2":166,"featured-jobs-\u002Fde-us\u002Fjobs-by-skill\u002Fmatlab?page=2":343},{"total":4,"jobs":5},24,[6,51,87,114],{"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":34,"processed_job_expertise_skills_labels":36,"max_cpc":49,"actual_cpc":50},59917,"fixed-income-quantitative-specialist-london-stock-exchange-group-holdings-inc","Fixed Income Quantitative Specialist",null,false,{"name":13,"slug":14,"logo_url":10},"London Stock Exchange Group Holdings Inc","london-stock-exchange-group-holdings-inc",[16],"New York",[18],"US","onsite",112100,186900,"USD","estimated",[25],"FULL_TIME","permanent",{"vba":28,"excel":28,"matlab":28,"python":28},4,[30,31,32,33],"Python","Matlab","Excel","VBA",{"backtesting":28,"fixed income":28,"risk management":35,"data engineering":35,"product strategy":28,"client engagement":28,"index development":28,"benchmark products":28,"investment process":35,"financial modelling":28,"quantitative research":28,"portfolio construction":28},3,[37,38,39,40,41,42,43,44,45,46,47,48],"Quantitative Research","Financial Modelling","Fixed Income","Portfolio Construction","Backtesting","Index Development","Data Engineering","Benchmark Products","Investment Process","Client Engagement","Product Strategy","Risk 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Company","auto-owners-insurance-company",[59],"Lansing",[18],"hybrid",60000,90000,[25],{"c":66,"r":66,"c++":66,"db2":66,"sas":66,"sql":66,"tso":66,"java":66,"cobol":66,"matlab":66,"python":66},2,[68,69,70,71,72,73,30,74,75,76,77],"COBOL","DB2","TSO","SQL","R","SAS","MATLAB","C","C++","Java",{"debugging":35,"code review":35,"programming":35,"consultation":35,"documentation":35,"system analysis":35,"software development":35},[80,81,82,83,84,85,86],"Software Development","Programming","System Analysis","Code 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assessment":28,"deal structuring":28,"machine learning":35,"cash flow modeling":28,"structured finance":28,"portfolio management":35,"artificial intelligence":35},[105,106,107,108,109,110,111,112,113],"Cash Flow Modeling","Structured Finance","Securitization","Risk Assessment","Deal Structuring","Machine Learning","Artificial Intelligence","Portfolio Management","Data Analysis",{"id":115,"slug":116,"title":117,"raw_title":10,"is_featured":11,"company":118,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":121,"processed_country_iso_code_gmaps":123,"processed_home_office":61,"processed_salary_min":62,"processed_salary_max":124,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":125,"processed_employment_types":26,"processed_it_skills":126,"processed_it_skills_labels":127,"processed_job_expertise_skills":129,"processed_job_expertise_skills_labels":130,"max_cpc":49,"actual_cpc":50},63449,"research-assistantsr-research-assistant-federal-reserve-bank-of-philadelphia","Research Assistant\u002FSr. Research Assistant",{"name":119,"slug":120,"logo_url":10},"Federal Reserve Bank of Philadelphia","federal-reserve-bank-of-philadelphia",[122],"Philadelphia",[18],80000,[25],{"r":35,"sas":35,"stata":35,"matlab":35,"python":35},[73,128,72,30,31],"STATA",{"econometrics":28,"data analysis":28,"report writing":35,"economic research":28,"data visualization":35,"statistical analysis":28},[131,132,113,133,134,135],"Econometrics","Statistical Analysis","Economic Research","Report Writing","Data Visualization",{"image_path":137,"content_de":138,"content_en":151,"composite_key":164,"last_updated":165},"\u002Fimages\u002Fskill\u002Fmatlab.webp",{"tab1":139,"tab2":142,"tab3":145,"tab4":148},{"title":140,"content":141},"Bedeutung & Relevanz","MATLAB spielt eine entscheidende Rolle in den [Vereinigten Staaten](\u002Fsearch), insbesondere in den Bereichen [Finanzanalyse](\u002Fjobs-by-expertise\u002Ffinancial-analysis), [Risikomanagement](\u002Fjobs-by-expertise\u002Frisk-management) und quantitativer Forschung. Als leistungsstarke Programmiersprache und Entwicklungsumgebung wird MATLAB von führenden Unternehmen wie [Pacific Investment Mgt Co. LLC](\u002Fcompany\u002Fpacific-investment-mgt-co-llc) und [Allianz Insurance](\u002Fcompany\u002Fallianz-insurance) für komplexe mathematische Berechnungen, Datenanalyse und Modellierung eingesetzt.\n\nIn den USA ist MATLAB unverzichtbar für die Entwicklung quantitativer Handelsstrategien, [Portfoliomanagement](\u002Fjobs-by-expertise\u002Fportfolio-management) und [Finanzmodellierung](\u002Fjobs-by-expertise\u002Ffinancial-modeling). Die Fähigkeit, komplexe Algorithmen zu implementieren und große Datensätze zu analysieren, macht MATLAB zu einem wertvollen Werkzeug für Finanzinstitute und Versicherungsunternehmen. Mit der zunehmenden Bedeutung von künstlicher Intelligenz und maschinellem Lernen gewinnt MATLAB zusätzlich an Relevanz für die Entwicklung fortschrittlicher Analysemodelle.",{"title":143,"content":144},"Top-Branchen & Standorte","In den [Vereinigten Staaten](\u002Fsearch) ist MATLAB besonders in den [Versicherungs-](\u002Fjobs-by-industry\u002Finsurance) und [Finanzdienstleistungsbranchen](\u002Fjobs-by-industry\u002Ffinance) gefragt. Führende Standorte mit hohem Bedarf an MATLAB-Experten sind [Newport Beach](\u002Fjobs-in-newport-beach) und [Chicago](\u002Fjobs-in-chicago), wo zahlreiche Finanzinstitute und Investmentfirmen ansässig sind.\n\nDie [Investment Management](\u002Fjobs-by-industry\u002Finvestment-management)-Branche nutzt MATLAB intensiv für [Portfoliooptimierung](\u002Fjobs-by-expertise\u002Fportfolio-management) und Risikoanalyse. In [Newport Beach](\u002Fjobs-in-newport-beach) konzentrieren sich viele quantitative Fonds auf MATLAB-basierte Handelsstrategien, während [Chicago](\u002Fjobs-in-chicago) als wichtiger Finanzhub MATLAB für Derivatepreisbildung und Marktanalyse einsetzt. Die [Banking](\u002Fjobs-by-industry\u002Fbanking)-Branche integriert MATLAB zunehmend in ihre Risikomanagementsysteme und Kundenanalysen.",{"title":146,"content":147},"Gefragte Skills & Arbeitgeber","Führende Unternehmen wie [Pacific Investment Mgt Co. LLC](\u002Fcompany\u002Fpacific-investment-mgt-co-llc) und [Allianz Insurance](\u002Fcompany\u002Fallianz-insurance) suchen in den [Vereinigten Staaten](\u002Fsearch) nach MATLAB-Experten mit Kenntnissen in [Zeitreihenanalyse](\u002Fjobs-by-expertise\u002Ftime-series-analysis), [quantitativer Forschung](\u002Fjobs-by-expertise\u002Fquantitative-research) und [Finanztechnik](\u002Fjobs-by-expertise\u002Ffinancial-engineering).\n\nGefragte Expertise umfasst [Ökonometrie](\u002Fjobs-by-expertise\u002Feconometrics), [Asset Pricing](\u002Fjobs-by-expertise\u002Fasset-pricing), [Portfoliotheorie](\u002Fjobs-by-expertise\u002Fportfolio-theory) und [Optionspreisbildung](\u002Fjobs-by-expertise\u002Foption-pricing). Unternehmen erwarten zudem Erfahrung mit [Vektorautoregressionsmodellen](\u002Fjobs-by-expertise\u002Fvector-auto-regression), [Fehlerkorrekturmodellen](\u002Fjobs-by-expertise\u002Ferror-correction-models) und [Kalman-Filter-Techniken](\u002Fjobs-by-expertise\u002Fkalman-filtering-techniques). Die Kombination von MATLAB mit [künstlicher Intelligenz und maschinellem Lernen](\u002Fjobs-by-skill\u002Fartificial-intelligence-tools) wird zunehmend wichtig für fortschrittliche [Risikoanalyse](\u002Fjobs-by-expertise\u002Frisk-analysis) und Handelsstrategien.",{"title":149,"content":150},"Karriere & Entwicklung","MATLAB-Experten in den [Vereinigten Staaten](\u002Fsearch) können Karrierewege als quantitative Analysten, [Finanzingenieure](\u002Fjobs-by-expertise\u002Ffinancial-engineering) oder Risikomanager einschlagen. Die Kombination mit [Python](\u002Fjobs-by-skill\u002Fpython), [R](\u002Fjobs-by-skill\u002Fr) und [SQL](\u002Fjobs-by-skill\u002Fsql) eröffnet zusätzliche Möglichkeiten in der [Datenwissenschaft](\u002Fjobs-by-skill\u002Fdata-science) und [maschinellem Lernen](\u002Fjobs-by-skill\u002Fmachine-learning).\n\nZur Weiterentwicklung empfiehlt sich die Vertiefung in [Finanzmärkten](\u002Fjobs-by-expertise\u002Ffinancial-markets), [Anlageanalyse](\u002Fjobs-by-expertise\u002Finvestment-analysis) und [Prozessoptimierung](\u002Fjobs-by-expertise\u002Fprocess-improvement). Praktische Erfahrung mit [VBA](\u002Fjobs-by-skill\u002Fvba) und [Java](\u002Fjobs-by-skill\u002Fjava) ergänzt MATLAB-Kenntnisse ideal. Fortgeschrittene Themen wie [Zeitreihenökonometrie](\u002Fjobs-by-expertise\u002Ftime-series-econometrics) und [Asset-Allokationstechniken](\u002Fjobs-by-expertise\u002Fasset-allocation-techniques) sind für den Aufstieg in Führungspositionen entscheidend. Zertifizierungen und Spezialisierung auf [quantitative Handelsstrategien](\u002Fjobs-by-expertise\u002Fquantitative-trading-strategies) verbessern die Karrierechancen erheblich.",{"tab1":152,"tab2":155,"tab3":158,"tab4":161},{"title":153,"content":154},"Strategic Importance","MATLAB holds significant strategic importance in the **United States** financial sector, particularly in quantitative finance, risk management, and investment analysis. Its powerful computational capabilities make it indispensable for developing complex financial models, performing time series analysis, and implementing quantitative trading strategies. In the competitive landscape of **United States** financial markets, MATLAB enables professionals to analyze vast datasets, optimize portfolios, and conduct sophisticated econometric modeling that drives investment decisions.\n\nFinancial institutions across the **United States** rely on MATLAB for its robust toolboxes specifically designed for financial applications, including the Financial Toolbox, Econometrics Toolbox, and Risk Management Toolbox. The skill is particularly valuable for implementing advanced techniques like [Kalman filtering techniques](\u002Fjobs-by-expertise\u002Fkalman-filtering-techniques), [vector auto regression](\u002Fjobs-by-expertise\u002Fvector-auto-regression), and [error correction models](\u002Fjobs-by-expertise\u002Ferror-correction-models) that are essential for accurate market forecasting and risk assessment.\n\nAs the financial industry increasingly embraces quantitative approaches, MATLAB proficiency has become a key differentiator for professionals seeking roles in quantitative research, financial engineering, and algorithmic trading within the **United States** market.",{"title":156,"content":157},"Top Industries & Locations","MATLAB expertise is in high demand across several key industries in the **United States**, with particularly strong requirements in [investment management](\u002Fjobs-by-industry\u002Finvestment-management), [insurance](\u002Fjobs-by-industry\u002Finsurance), and [finance](\u002Fjobs-by-industry\u002Ffinance). These sectors leverage MATLAB for complex financial modeling, risk analysis, and quantitative research applications that drive strategic decision-making.\n\nGeographically, MATLAB professionals find abundant opportunities in major financial hubs across the **United States**. **Newport Beach** stands out as a significant center for quantitative finance and investment management firms requiring advanced MATLAB capabilities. Similarly, **Chicago** serves as a major hub for trading firms and financial institutions that utilize MATLAB for developing sophisticated trading algorithms and risk management systems.\n\nThe concentration of MATLAB roles in these locations reflects the specialized nature of quantitative finance positions within the **United States**. Companies in these areas seek professionals who can apply MATLAB to solve complex financial problems, from portfolio optimization to derivative pricing, making these cities prime destinations for MATLAB specialists in the financial sector.",{"title":159,"content":160},"In-Demand Skills & Employers","Leading financial institutions in the **United States** actively seek MATLAB professionals with complementary expertise in quantitative finance domains. Top employers like **Pacific Investment Mgt Co. LLC** and **Allianz Insurance** require MATLAB skills for roles involving [portfolio optimization](\u002Fjobs-by-expertise\u002Fportfolio-optimization), [risk analysis](\u002Fjobs-by-expertise\u002Frisk-analysis), and [financial modeling](\u002Fjobs-by-expertise\u002Ffinancial-modeling).\n\nThese companies value MATLAB proficiency combined with expertise in [econometrics](\u002Fjobs-by-expertise\u002Feconometrics), [asset pricing](\u002Fjobs-by-expertise\u002Fasset-pricing), and [portfolio theory](\u002Fjobs-by-expertise\u002Fportfolio-theory). The integration of MATLAB with [time series analysis](\u002Fjobs-by-expertise\u002Ftime-series-analysis) and [quantitative research](\u002Fjobs-by-expertise\u002Fquantitative-research) capabilities is particularly sought after for developing sophisticated investment strategies and risk management frameworks.\n\nAdditional expertise areas that complement MATLAB in the **United States** financial sector include [financial engineering](\u002Fjobs-by-expertise\u002Ffinancial-engineering), [option pricing](\u002Fjobs-by-expertise\u002Foption-pricing), and [asset allocation techniques](\u002Fjobs-by-expertise\u002Fasset-allocation-techniques). Professionals who can apply MATLAB to implement [quantitative trading strategies](\u002Fjobs-by-expertise\u002Fquantitative-trading-strategies) and conduct [financial markets](\u002Fjobs-by-expertise\u002Ffinancial-markets) analysis are especially valuable to employers seeking competitive advantages in the dynamic **United States** financial landscape.",{"title":162,"content":163},"Career & Development","MATLAB opens diverse career pathways in the **United States** financial sector, ranging from quantitative analyst and financial engineer roles to risk management specialist positions. Professionals typically begin by mastering core MATLAB programming concepts before advancing to specialized financial applications and toolboxes.\n\nCareer development often involves combining MATLAB with complementary technical skills like [Python](\u002Fjobs-by-skill\u002Fpython), [SQL](\u002Fjobs-by-skill\u002Fsql), and [R](\u002Fjobs-by-skill\u002Fr) to create comprehensive analytical solutions. The integration of MATLAB with [machine learning](\u002Fjobs-by-skill\u002Fmachine-learning) and [data science](\u002Fjobs-by-skill\u002Fdata-science) capabilities is becoming increasingly important for roles involving predictive modeling and algorithmic trading strategies.\n\nTo build MATLAB expertise relevant to the **United States** financial industry, professionals should focus on developing proficiency in key financial domains including [financial modeling](\u002Fjobs-by-expertise\u002Ffinancial-modeling), [portfolio management](\u002Fjobs-by-expertise\u002Fportfolio-management), and [risk assessment](\u002Fjobs-by-expertise\u002Frisk-assessment). Practical experience with MATLAB's Financial Toolbox and Econometrics Toolbox, combined with knowledge of [finance theory](\u002Fjobs-by-expertise\u002Ffinance-theory) and [investment analysis](\u002Fjobs-by-expertise\u002Finvestment-analysis), creates a strong foundation for advancing in quantitative finance careers within the competitive **United States** market.","skill:matlab:us","2026-08-17T09:03:11.560874+02:00",{"industry":167,"employment_type":191,"expertise_skills":202,"it_skills":269,"salary_currency":339,"processed_working_hours":341},[168,172,176,179,182,185,188],{"key":169,"label":170,"count":171},"banking","Banking",17,{"key":173,"label":174,"count":175},"financial services","Financial Services",10,{"key":177,"label":178,"count":66},"insurance","Insurance",{"key":180,"label":181,"count":49},"asset management","Asset Management",{"key":183,"label":184,"count":49},"financial markets infrastructure","Financial Markets Infrastructure",{"key":186,"label":187,"count":49},"data provider","Data Provider",{"key":189,"label":190,"count":49},"alternative asset management","Alternative Asset Management",[192,195,199],{"key":26,"label":193,"count":194},"PERMANENT",13,{"key":196,"label":197,"count":198},"temporary","TEMPORARY",9,{"key":200,"label":201,"count":66},"student","STUDENT",[203,206,209,213,215,219,221,224,227,230,233,235,237,240,242,245,248,250,253,256,259,261,264,266],{"key":204,"label":131,"slug":204,"count":205},"econometrics",12,{"key":207,"label":113,"slug":207,"count":208},"data-analysis",11,{"key":210,"label":211,"slug":210,"count":212},"statistics","Statistics",7,{"key":214,"label":133,"slug":214,"count":212},"economic-research",{"key":216,"label":217,"slug":216,"count":218},"economics","Economics",5,{"key":220,"label":132,"slug":220,"count":218},"statistical-analysis",{"key":222,"label":223,"slug":222,"count":218},"mathematics","Mathematics",{"key":225,"label":226,"slug":225,"count":35},"research","Research",{"key":228,"label":229,"slug":228,"count":35},"empirical-research","Empirical Research",{"key":231,"label":232,"slug":231,"count":35},"quantitative-analysis","Quantitative Analysis",{"key":234,"label":48,"slug":234,"count":35},"risk-management",{"key":236,"label":110,"slug":236,"count":35},"machine-learning",{"key":238,"label":239,"slug":238,"count":35},"model-validation","Model Validation",{"key":241,"label":81,"slug":241,"count":66},"programming",{"key":243,"label":244,"slug":243,"count":66},"project-management","Project management",{"key":246,"label":247,"slug":246,"count":66},"model-risk-management","Model Risk Management",{"key":249,"label":80,"slug":249,"count":66},"software-development",{"key":251,"label":252,"slug":251,"count":66},"literature-review","Literature Review",{"key":254,"label":255,"slug":254,"count":66},"statistical-modeling","Statistical Modeling",{"key":257,"label":258,"slug":257,"count":66},"probability-theory","Probability Theory",{"key":260,"label":83,"slug":260,"count":66},"code-review",{"key":262,"label":263,"slug":262,"count":66},"data-management","Data Management",{"key":265,"label":37,"slug":265,"count":66},"quantitative-research",{"key":267,"label":268,"slug":267,"count":66},"stress-testing","Stress Testing",[270,272,275,278,282,284,288,292,294,295,298,301,303,306,309,312,315,318,321,324,327,330,333,336],{"key":271,"label":31,"slug":271,"count":4},"matlab",{"key":273,"label":30,"slug":273,"count":274},"python",22,{"key":276,"label":72,"slug":276,"count":277},"r",20,{"key":279,"label":280,"slug":279,"count":281},"stata","Stata",14,{"key":283,"label":71,"slug":283,"count":198},"sql",{"key":285,"label":286,"slug":285,"count":287},"sas","Sas",8,{"key":289,"label":290,"slug":289,"count":291},"ms-excel","MS Excel",6,{"key":293,"label":76,"slug":293,"count":35},"c",{"key":293,"label":75,"slug":293,"count":35},{"key":296,"label":297,"slug":296,"count":35},"ms-word","MS Word",{"key":299,"label":300,"slug":299,"count":35},"ms-powerpoint","MS PowerPoint",{"key":302,"label":77,"slug":302,"count":66},"java",{"key":304,"label":305,"slug":304,"count":66},"aws","Aws",{"key":307,"label":308,"slug":307,"count":66},"ms-azure","MS Azure",{"key":310,"label":311,"slug":310,"count":66},"tso","Tso",{"key":313,"label":314,"slug":313,"count":66},"db2","Db2",{"key":316,"label":317,"slug":316,"count":66},"vba","Vba",{"key":319,"label":320,"slug":319,"count":66},"cobol","Cobol",{"key":322,"label":323,"slug":322,"count":49},"excel-vba","Excel Vba",{"key":325,"label":326,"slug":325,"count":49},"computer-programming","Computer Programming",{"key":328,"label":329,"slug":328,"count":49},"gpu-computing","Gpu Computing",{"key":331,"label":332,"slug":331,"count":49},"snowflake","Snowflake",{"key":334,"label":335,"slug":334,"count":49},"jcl","Jcl",{"key":337,"label":338,"slug":337,"count":49},"large-language-models","Large Language Models",[340],{"key":22,"label":22,"count":4},[342],{"key":25,"label":25,"count":4},{"total":344,"jobs":345},0,[]]