[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-expertise-model-validation-de":3,"job-search-\u002Fde-de\u002Fjobs-by-expertise\u002Fmodel-validation":33,"expertise-filters-\u002Fde-de\u002Fjobs-by-expertise\u002Fmodel-validation":261,"featured-jobs-\u002Fde-de\u002Fjobs-by-expertise\u002Fmodel-validation":363},{"image_path":4,"content_de":5,"content_en":18,"composite_key":31,"last_updated":32},"\u002Fimages\u002Fexpertise\u002Fmodel-validation.webp",{"tab1":6,"tab2":9,"tab3":12,"tab4":15},{"title":7,"content":8},"Bedeutung & Relevanz","**Model Validation** spielt eine entscheidende Rolle im deutschen Finanzsektor, wo regulatorische Anforderungen und Risikomanagement im Mittelpunkt stehen. In [Deutschland](\u002Fsearch) gewinnt die Modellvalidierung zunehmend an Bedeutung, da Banken, Versicherungen und Asset-Management-Unternehmen komplexe quantitative Modelle für Risikomessung, Stress-Tests und Kapitalmarktprognosen einsetzen. Die Validierung dieser Modelle stellt sicher, dass sie zuverlässige Ergebnisse liefern und den gesetzlichen Vorgaben entsprechen, was insbesondere in Zeiten wirtschaftlicher Unsicherheit von großer Wichtigkeit ist.\n\nFührende Unternehmen wie [Allianz Insurance](\u002Fcompany\u002Fallianz-insurance) und [ING DIBA AG](\u002Fcompany\u002Fing-diba-ag) setzen auf robuste Model Validation-Prozesse, um finanzielle Stabilität zu gewährleisten. Im Bereich [Asset Management](\u002Fjobs-by-industry\u002Fasset-management) und [Banking](\u002Fjobs-by-industry\u002Fbanking) hilft die Modellvalidierung, Investitionsentscheidungen zu optimieren und Risiken wie Marktpreisschwankungen oder Liquiditätsengpässe frühzeitig zu erkennen. Für Fachkräfte eröffnet dies Karrierechancen in [Frankfurt am Main](\u002Fjobs-in-frankfurt-am-main) und anderen Finanzzentren, wo die Nachfrage nach Experten für Model Validation stetig wächst. Durch die Integration von Technologien wie künstlicher Intelligenz und maschinellem Lernen wird die Modellvalidierung zudem zukunftssicher, was sie zu einem zentralen Element für nachhaltiges Wachstum in Deutschland macht.",{"title":10,"content":11},"Top-Branchen & Standorte","In [Deutschland](\u002Fsearch) ist die Nachfrage nach Model Validation in mehreren Schlüsselbranchen und Standorten besonders hoch. Zu den Top-Branchen zählen [Asset Management](\u002Fjobs-by-industry\u002Fasset-management), [Banking](\u002Fjobs-by-industry\u002Fbanking) und Versicherungen, wo Modelle für Risikomanagement, Portfolio-Optimierung und regulatorische Compliance validiert werden müssen. Unternehmen im [Asset Management Financial Services](\u002Fjobs-by-industry\u002Fasset-management-financial-services) setzen auf Model Validation, um die Genauigkeit von Anlagestrategien zu gewährleisten, während im [Banking And Aerospace Finance](\u002Fjobs-by-industry\u002Fbanking-and-aerospace-finance) komplexe Finanzmodelle für Kreditrisiken und Marktszenarien überprüft werden.\n\nGeografisch konzentriert sich die Nachfrage auf wichtige Finanzstandorte wie [Frankfurt am Main](\u002Fjobs-in-frankfurt-am-main), das als Bankenzentrum zahlreiche Jobs in Model Validation bietet. In [München](\u002Fjobs-in-muenchen) sind Versicherungsunternehmen und Technologiekonzerne aktiv, die Modelle für Versicherungsmathematik und KI-Anwendungen validieren. Koblenz, als Sitz von Unternehmen wie [Debeka Bausparkasse AG](\u002Fcompany\u002Fdebeka-bausparkasse-ag), ist ein weiterer Hotspot, insbesondere für Model Validation im Bereich Bausparkassen und Finanzdienstleistungen. Diese Standorte bieten nicht nur vielfältige Karrieremöglichkeiten, sondern auch Zugang zu innovativen Projekten, die die deutsche Wirtschaft stärken.",{"title":13,"content":14},"Gefragte Skills & Arbeitgeber","Führende Unternehmen in [Deutschland](\u002Fsearch) suchen nach Experten für Model Validation, die über spezifische Fachkenntnisse verfügen. Zu den gefragten Expertisen gehören [Regulatory Compliance](\u002Fjobs-by-expertise\u002Fregulatory-compliance), [Risk Management](\u002Fjobs-by-expertise\u002Frisk-management), [Due Diligence](\u002Fjobs-by-expertise\u002Fdue-diligence) und quantitative Methoden wie statistische Analyse und Szenarioanalyse. Diese Skills sind essenziell, um Modelle auf ihre Genauigkeit, Stabilität und Konformität mit Vorschriften zu prüfen.\n\nUnternehmen wie [ING DIBA AG](\u002Fcompany\u002Fing-diba-ag) setzen Model Validation ein, um Bankprodukte und Risikomodelle zu validieren, während [Allianz Insurance](\u002Fcompany\u002Fallianz-insurance) auf Expertise in Versicherungsmathematik und KI-Modellvalidierung Wert legt. [Debeka Bausparkasse AG](\u002Fcompany\u002Fdebeka-bausparkasse-ag) nutzt Model Validation für Bausparmodelle und Kundeninteraktionsanalysen. Zusätzlich zu diesen Arbeitgebern ist Kenntnis in [Portfolio Management](\u002Fjobs-by-expertise\u002Fportfolio-management) und [Process optimization](\u002Fjobs-by-expertise\u002Fprocess-optimization) von Vorteil, um effiziente Validierungsprozesse zu entwickeln. Diese Kombination aus technischem Know-how und Branchenerfahrung macht Model Validation-Experten zu gefragten Fachkräften in ganz Deutschland.",{"title":16,"content":17},"Karriere & Entwicklung","Eine Karriere in Model Validation in [Deutschland](\u002Fsearch) bietet vielfältige Entwicklungsmöglichkeiten, beginnend mit Einstiegspositionen wie Model Validation Analyst bis hin zu leitenden Rollen wie Head of Model Risk. Um in diesem Feld erfolgreich zu sein, sind fundierte Kenntnisse in [Risk Management](\u002Fjobs-by-expertise\u002Frisk-management), statistischer Analyse und quantitativer Finanzierung unerlässlich. Fachkräfte können sich durch Weiterbildungen in Bereichen wie maschinelles Lernen, künstliche Intelligenz und [Data Science](\u002Fjobs-by-expertise\u002Fdata-science) spezialisieren, um komplexe Modelle für Predictive Modeling und Deep Learning zu validieren.\n\nPraktische IT-Skills sind dabei entscheidend: [Python](\u002Fjobs-by-skill\u002Fpython) für Datenanalyse und Modellentwicklung, [SQL](\u002Fjobs-by-skill\u002Fsql) für Datenbankabfragen und [R](\u002Fjobs-by-skill\u002Fr) für statistische Tests. Kenntnisse in [MS Office](\u002Fjobs-by-skill\u002Fms-office) unterstützen die Dokumentation und Berichterstattung. Durch die Kombination dieser Fähigkeiten mit Branchenerfahrung in [Banking](\u002Fjobs-by-industry\u002Fbanking) oder [Asset Management](\u002Fjobs-by-industry\u002Fasset-management) können Absolventen und Berufstätige ihre Karriere vorantreiben, beispielsweise in [Frankfurt am Main](\u002Fjobs-in-frankfurt-am-main) oder [München](\u002Fjobs-in-muenchen). Zertifizierungen in Risikomanagement oder Data Science erhöhen die Jobchancen und ermöglichen langfristiges Wachstum in diesem dynamischen Feld.",{"tab1":19,"tab2":22,"tab3":25,"tab4":28},{"title":20,"content":21},"Strategic Importance","Model validation has become critically important in [Deutschland](\u002Fsearch)'s financial sector, serving as a cornerstone for regulatory compliance and risk management frameworks. In the German financial landscape, where institutions like [Allianz Insurance](\u002Fcompany\u002Fallianz-insurance) and [ING DIBA AG](\u002Fcompany\u002Fing-diba-ag) operate, robust model validation processes are essential for ensuring the accuracy and reliability of financial models used in decision-making. This expertise helps German financial institutions comply with stringent regulatory requirements from BaFin and European banking authorities while maintaining market stability.\n\nWith the increasing complexity of financial products and the growing adoption of artificial intelligence and machine learning in [Asset Management](\u002Fjobs-by-industry\u002Fasset-management) and [Banking](\u002Fjobs-by-industry\u002Fbanking), model validation professionals in Germany play a vital role in safeguarding against model risk. Their work directly impacts investment strategies, risk measurement accuracy, and overall financial stability across German markets. The strategic importance of model validation extends beyond compliance—it enables German financial institutions to confidently deploy advanced quantitative models while maintaining transparency and accountability in their operations.",{"title":23,"content":24},"Top Industries & Locations","Model validation professionals find strong demand across key financial hubs in [Deutschland](\u002Fsearch), with [Frankfurt am Main](\u002Fjobs-in-frankfurt-am-main) emerging as the primary center for validation roles due to its concentration of major banks and regulatory bodies. [München](\u002Fjobs-in-münchen) also offers significant opportunities, particularly within the insurance and [Asset Management](\u002Fjobs-by-industry\u002Fasset-management) sectors, while [Koblenz](\u002Fjobs-in-koblenz) provides roles in specialized financial services.\n\nThe [Insurance and building society](\u002Fjobs-by-industry\u002Finsurance-and-building-society) sector heavily relies on model validation for pricing models, risk assessment, and regulatory compliance. In [Banking and financial services](\u002Fjobs-by-industry\u002Fbanking-and-financial-services), validation experts ensure the accuracy of credit risk models, market risk frameworks, and algorithmic trading systems. The [Asset Management](\u002Fjobs-by-industry\u002Fasset-management) industry in Germany particularly values model validation professionals who can verify the robustness of quantitative investment strategies and portfolio optimization models. These industries collectively drive the demand for skilled model validation professionals across Germany's financial landscape.",{"title":26,"content":27},"In-Demand Skills & Employers","Leading German financial institutions actively seek model validation professionals with expertise in [Risk Management](\u002Fjobs-by-expertise\u002Frisk-management) and [Regulatory Compliance](\u002Fjobs-by-expertise\u002Fregulatory-compliance). Companies like [ING DIBA AG](\u002Fcompany\u002Fing-diba-ag) require validation experts to ensure their banking models meet regulatory standards, while [Debeka Bausparkasse AG](\u002Fcompany\u002Fdebeka-bausparkasse-ag) needs professionals to validate building society and insurance models. [Allianz Insurance](\u002Fcompany\u002Fallianz-insurance) consistently hires model validation specialists to verify their complex insurance and investment models.\n\nBeyond core validation skills, employers in Germany value expertise in quantitative metrics, stress testing methodologies, and scenario analysis. The integration of [Machine Learning](\u002Fjobs-by-skill\u002Fmachine-learning) and artificial intelligence in financial modeling has created demand for professionals who can validate these advanced algorithms. Model risk management and statistical analysis capabilities are particularly sought after, as German financial institutions navigate increasingly complex regulatory landscapes and sophisticated financial products. These combined expertise areas make model validation professionals highly valuable across Germany's financial sector.",{"title":29,"content":30},"Career & Development","A career in model validation in [Deutschland](\u002Fsearch) typically begins with strong foundations in quantitative finance, statistical analysis, and [Risk Management](\u002Fjobs-by-expertise\u002Frisk-management). Professionals can advance from junior validation roles to senior positions overseeing validation frameworks for entire departments or institutions. The career path often involves specialization in specific model types—such as credit risk models, market risk frameworks, or insurance pricing models—with opportunities to move into model development or risk management leadership roles.\n\nTo excel in model validation careers in Germany, professionals should master key technical skills including [Python](\u002Fjobs-by-skill\u002Fpython) programming, [SQL](\u002Fjobs-by-skill\u002Fsql) for data analysis, and statistical software like [R](\u002Fjobs-by-skill\u002Fr) and SAS. Understanding machine learning algorithms, data structures, and predictive modeling is increasingly important as German financial institutions adopt more sophisticated modeling approaches. Continuous learning in areas like quantitative data modeling, process optimization, and regulatory frameworks ensures long-term career growth in Germany's competitive financial job market. Many professionals pursue certifications in risk management or quantitative finance to enhance their credentials and advance their model validation careers.","expertise:model-validation:de","2026-08-17T09:09:51.299366+02:00",{"total":34,"jobs":35},8,[36,77,105,132,158,186,207,233],{"id":37,"slug":38,"title":39,"raw_title":40,"is_featured":41,"company":42,"raw_hiringOrganization_logo_url":45,"processed_city_gmaps":46,"processed_country_iso_code_gmaps":48,"processed_home_office":50,"processed_salary_min":51,"processed_salary_max":52,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":55,"processed_employment_types":57,"processed_it_skills":58,"processed_it_skills_labels":60,"processed_job_expertise_skills":63,"processed_job_expertise_skills_labels":66,"max_cpc":76,"actual_cpc":76},69174,"quantitative-researcher-methodology-specialist-mwd-private-capital-analytics-assetmetrix-gmbh","Quantitative Researcher & Methodology Specialist (m\u002Fw\u002Fd) – Private Capital Analytics",null,false,{"name":43,"slug":44,"logo_url":40},"AssetMetrix GmbH","assetmetrix-gmbh","https:\u002F\u002Fassets.cdn.personio.de\u002Flogos\u002F21017\u002Fsocial\u002F1a721e92c2f500cd9279cfa61a5ab8b2.png",[47],"München",[49],"DE","hybrid",60000,90000,"EUR","estimated",[56],"FULL_TIME","permanent",{"python":59,"databases":59},2,[61,62],"Python","Databases",{"research":64,"prototyping":65,"private capital":59,"model validation":64,"financial markets":65,"product development":65,"quantitative modeling":64,"stakeholder management":65,"mathematical statistics":64},4,3,[67,68,69,70,71,72,73,74,75],"Quantitative Modeling","Mathematical Statistics","Model Validation","Prototyping","Financial Markets","Private Capital","Research","Stakeholder Management","Product 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office":65},[120,121],"MS Office","Excel",{"leadership":65,"controlling":64,"risk management":64,"model validation":65,"financial analysis":64,"project management":65,"strategic planning":64,"process optimization":65,"regulatory compliance":65,"data quality management":65},[124,100,125,126,127,128,129,69,130,131],"Controlling","Financial Analysis","Strategic Planning","Process Optimization","Regulatory Compliance","Data Quality Management","Project Management","Leadership",{"id":133,"slug":134,"title":135,"raw_title":40,"is_featured":41,"company":136,"raw_hiringOrganization_logo_url":140,"processed_city_gmaps":141,"processed_country_iso_code_gmaps":143,"processed_home_office":50,"processed_salary_min":51,"processed_salary_max":52,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":144,"processed_employment_types":57,"processed_it_skills":145,"processed_it_skills_labels":146,"processed_job_expertise_skills":147,"processed_job_expertise_skills_labels":148,"max_cpc":76,"actual_cpc":76},44132,"experte-revision-steuerungsprozesse-schwerpunkt-irba-mwd-hamburger-sparkasse","Experte Revision Steuerungsprozesse - Schwerpunkt IRBA (m\u002Fw\u002Fd)",{"name":137,"slug":138,"logo_url":139},"Hamburger Sparkasse","hamburger-sparkasse","\u002Fimages\u002Flogos\u002Fhamburger-sparkasse-logo.svg","https:\u002F\u002Finstitute-logos.sparkasse.de\u002F20050550.svg",[142],"Hamburg",[49],[56],{},[],{"internal audit":64,"report writing":64,"audit execution":64,"risk management":64,"model validation":64,"pd\u002Flgd\u002Fccf models":64,"project management":65,"credit risk modeling":64,"regulatory requirements (crr, eba, marisk, kwg, crd)":64},[149,150,151,152,153,154,155,156,157],"Risk management","Internal audit","Credit risk modeling","Model validation","PD\u002FLGD\u002FCCF models","Regulatory requirements (CRR, EBA, MaRisk, KWG, CRD)","Audit execution","Project management","Report writing",{"id":159,"slug":160,"title":161,"raw_title":40,"is_featured":41,"company":162,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":166,"processed_country_iso_code_gmaps":168,"processed_home_office":50,"processed_salary_min":169,"processed_salary_max":170,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":171,"processed_employment_types":57,"processed_it_skills":172,"processed_it_skills_labels":173,"processed_job_expertise_skills":175,"processed_job_expertise_skills_labels":176,"max_cpc":76,"actual_cpc":76},39455,"model-risk-manager-non-financial-risk-analytics-wmd-ing-bank-nv","Model Risk Manager Non-Financial Risk \u002F Analytics (w\u002Fm\u002Fd)",{"name":163,"slug":164,"logo_url":165},"ING Bank N.V.","ing-bank-nv","https:\u002F\u002Fwww.ing.de\u002Fbinaries\u002Fcontent\u002Fgallery\u002Fing-images\u002Fuber-uns\u002Fpresse\u002Fpressebilder\u002Fing_logo-72dpi_rgb.jpg",[167],"Frankfurt am Main",[49],70000,100000,[56],{"r":65,"sas":65,"python":65},[61,94,174],"SAS",{"genai":59,"analytics":65,"data science":65,"risk assessment":64,"machine learning":65,"model governance":65,"model validation":64,"policy development":65,"statistical models":65,"regulatory requirements":65},[69,177,178,179,180,181,182,183,184,185],"Analytics","Data Science","Statistical Models","Machine Learning","GenAI","Model Governance","Regulatory Requirements","Risk Assessment","Policy Development",{"id":187,"slug":188,"title":189,"raw_title":40,"is_featured":41,"company":190,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":193,"processed_country_iso_code_gmaps":195,"processed_home_office":50,"processed_salary_min":196,"processed_salary_max":89,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":197,"processed_employment_types":57,"processed_it_skills":198,"processed_it_skills_labels":199,"processed_job_expertise_skills":200,"processed_job_expertise_skills_labels":201,"max_cpc":76,"actual_cpc":76},33348,"risikocontroller-irba-mwd-berliner-volksbank-eg","Risikocontroller IRBA (m\u002Fw\u002Fd)",{"name":191,"slug":192,"logo_url":40},"Berliner Volksbank eG","berliner-volksbank-eg",[194],"Berlin",[49],55000,[56,91],{},[],{"irba":64,"reporting":65,"model validation":65,"risk controlling":64,"regulatory compliance":65,"credit risk assessment":64},[202,203,204,152,205,206],"Risk controlling","IRBA","Credit risk assessment","Regulatory compliance","Reporting",{"id":208,"slug":209,"title":210,"raw_title":40,"is_featured":41,"company":211,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":214,"processed_country_iso_code_gmaps":216,"processed_home_office":217,"processed_salary_min":218,"processed_salary_max":219,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":220,"processed_employment_types":57,"processed_it_skills":221,"processed_it_skills_labels":222,"processed_job_expertise_skills":224,"processed_job_expertise_skills_labels":225,"max_cpc":76,"actual_cpc":76},10840,"risikomanagerin-aktuarin-validierung-hdi-ag","Risikomanager:in \u002F Aktuar:in Validierung ",{"name":212,"slug":213,"logo_url":40},"HDI AG","hdi-ag",[215],"Hannover",[49],"onsite",65000,85000,[56],{"r":65,"sql":65,"vba":65,"python":65,"ms office":64},[120,94,95,61,223],"VBA",{"solvency ii":64,"risk management":64,"model validation":64,"market risk modeling":64,"risk capital calculation":64,"cross-functional teamwork":64,"internal model validation":64,"economic scenario analysis":64,"life insurance risk modeling":64},[149,226,227,228,229,230,231,152,232],"Solvency II","Internal model validation","Market risk modeling","Life insurance risk modeling","Economic scenario analysis","Risk capital calculation","Cross-functional teamwork",{"id":234,"slug":235,"title":236,"raw_title":40,"is_featured":41,"company":237,"raw_hiringOrganization_logo_url":241,"processed_city_gmaps":242,"processed_country_iso_code_gmaps":244,"processed_home_office":50,"processed_salary_min":245,"processed_salary_max":246,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":247,"processed_employment_types":57,"processed_it_skills":248,"processed_it_skills_labels":249,"processed_job_expertise_skills":250,"processed_job_expertise_skills_labels":251,"max_cpc":76,"actual_cpc":260},48735,"risiko-controllerin-validierung-von-risikoarten-wmd-mittelbrandenburgische-sparkasse","Risiko Controller:in - Validierung von Risikoarten (w\u002Fm\u002Fd)",{"name":238,"slug":239,"logo_url":240},"Mittelbrandenburgische Sparkasse","mittelbrandenburgische-sparkasse","\u002Fimages\u002Flogos\u002Fmittelbrandenburgische-sparkasse-logo.png","https:\u002F\u002Finstitute-logos.sparkasse.de\u002F16050000.svg",[243],"Potsdam",[49],59000,87000,[56],{},[],{"credit risk":64,"market risk":64,"liquidity risk":64,"risk management":64,"model validation":64,"operational risk":64,"banking operations":65,"financial analysis":64,"portfolio analysis":64,"regulatory compliance":64,"financial reporting standards":65},[149,152,252,205,253,254,255,256,257,258,259],"Portfolio analysis","Financial analysis","Banking operations","Financial reporting standards","Market risk","Credit risk","Liquidity risk","Operational risk",0.8,{"industry":262,"employment_type":273,"expertise_skills":276,"it_skills":338,"salary_currency":358,"processed_working_hours":360},[263,267,270],{"key":264,"label":265,"count":266},"banking","Banking",6,{"key":268,"label":269,"count":59},"financial services","Financial 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