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pricing":55,"equity research":55,"security selection":55,"thought leadership":55,"client presentation":55,"dataset integration":55,"white paper authoring":55,"quantitative investing":55,"academic research evaluation":55},[541,542,543,544,545,546,547,548,549],"Quantitative Investing","Asset Pricing","Equity Research","Security Selection","Dataset Integration","White Paper Authoring","Client Presentation","Academic Research Evaluation","Thought Leadership",{"id":551,"slug":552,"title":553,"raw_title":10,"is_featured":11,"company":554,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":557,"processed_country_iso_code_gmaps":559,"processed_home_office":103,"processed_salary_min":140,"processed_salary_max":560,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":561,"processed_employment_types":107,"processed_it_skills":562,"processed_it_skills_labels":563,"processed_job_expertise_skills":564,"processed_job_expertise_skills_labels":565,"max_cpc":40,"actual_cpc":41},88301,"director-model-risk-management-mrm-analytics-and-reporting-transamerica","Director, Model Risk Management (MRM) Analytics and Reporting",{"name":555,"slug":556,"logo_url":10},"Transamerica","transamerica",[558],"Baltimore",[18],200000,[25],{"r":28,"sql":28,"python":28},[110,33,32],{"reporting":55,"data analytics":55,"risk governance":28,"model validation":28,"internal controls":55,"statistical modeling":28,"model risk management":55},[566,567,568,569,570,323,571],"Model Risk Management","Internal Controls","Data Analytics","Model Validation","Risk Governance","Statistical Modeling",{"id":573,"slug":574,"title":575,"raw_title":10,"is_featured":11,"company":576,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":579,"processed_country_iso_code_gmaps":581,"processed_home_office":103,"processed_salary_min":582,"processed_salary_max":583,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":584,"processed_employment_types":107,"processed_it_skills":585,"processed_it_skills_labels":586,"processed_job_expertise_skills":603,"processed_job_expertise_skills_labels":604,"max_cpc":40,"actual_cpc":41},88129,"avp-digital-workplace-engineering-hartford-fire-ins-co-2","AVP, Digital Workplace Engineering",{"name":577,"slug":578,"logo_url":10},"Hartford Fire Ins. Co","hartford-fire-ins-co",[580],"Hartford",[18],201500,302500,[25],{"citrix":28,"intune":55,"python":28,"splunk":28,"ansible":28,"nexthink":28,"dynatrace":28,"terraform":28,"powershell":28,"windows 365":28,"generative ai":55,"microsoft 365":55,"power platform":28,"microsoft teams":55,"automation tools":55,"microsoft copilot":28,"agentic automation":55,"azure virtual desktop":28,"infrastructure-as-code":55,"ai-assisted engineering":55,"observability platforms":55},[587,588,589,590,591,592,593,594,151,155,154,595,33,596,597,218,598,599,600,601,602],"Microsoft 365","Microsoft Teams","Intune","Windows 365","Azure Virtual Desktop","Citrix","Nexthink","Dynatrace","PowerShell","Power Platform","Microsoft Copilot","Agentic Automation","AI-assisted Engineering","Infrastructure-as-Code","Observability Platforms","Automation Tools",{"okrs":55,"slos\u002Fslis":55,"automation":55,"error budgets":55,"observability":55,"toil reduction":55,"virtual desktop":55,"capacity planning":28,"chaos engineering":28,"vendor management":55,"product management":28,"endpoint management":55,"incident management":55,"ai-first engineering":55,"blameless postmortems":55,"engineering leadership":55,"collaboration platforms":55,"reliability engineering":55,"outcome-based leadership":55,"site reliability engineering":55,"digital workplace engineering":55,"digital employee experience (dex)":28},[605,606,607,352,608,237,609,610,611,612,613,233,614,522,373,447,615,349,616,617,523,618],"AI-first Engineering","Reliability Engineering","Site Reliability Engineering","Incident Management","Outcome-based Leadership","Digital Workplace Engineering","Collaboration Platforms","Endpoint Management","Virtual Desktop","Digital Employee Experience (DEX)","Engineering Leadership","Toil Reduction","SLOs\u002FSLIs","Blameless Postmortems",{"id":620,"slug":621,"title":622,"raw_title":10,"is_featured":11,"company":623,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":627,"processed_country_iso_code_gmaps":629,"processed_home_office":19,"processed_salary_min":213,"processed_salary_max":630,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":631,"processed_employment_types":107,"processed_it_skills":632,"processed_it_skills_labels":633,"processed_job_expertise_skills":638,"processed_job_expertise_skills_labels":639,"max_cpc":40,"actual_cpc":41},86370,"svp-marketing-technology-customer-lifecycle-strategy-pacific-investment-mgt-co-llc","SVP, Marketing Technology & Customer Lifecycle Strategy",{"name":624,"slug":625,"logo_url":626},"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",[628],"Newport Beach",[18],305000,[25],{"sql":28,"apis":28,"python":28,"crm systems":55,"generative ai":55,"analytics tools":55,"machine learning":55,"data architecture":55,"marketing automation platforms (adobe marketo engage, eloqua, salesforce marketing cloud, hubspot)":55},[33,110,634,635,168,636,423,218,637],"Marketing Automation Platforms (Adobe Marketo Engage, Eloqua, Salesforce Marketing Cloud, HubSpot)","CRM Systems","Data Architecture","Analytics Tools",{"data quality":55,"segmentation":55,"ai governance":55,"roi analytics":55,"experimentation":55,"gdpr compliance":55,"personalization":55,"team leadership":55,"content strategy":55,"budget management":55,"vendor management":55,"causal measurement":55,"consent management":55,"data and analytics":55,"propensity scoring":55,"identity resolution":55,"predictive modeling":55,"privacy regulations":55,"marketing automation":55,"marketing technology":55,"regulatory compliance":55,"digital transformation":55,"measurement frameworks":55},[640,641,642,643,644,645,646,647,648,649,650,651,652,653,447,254,654,655,656,657,658,659,201],"Marketing Technology","Digital Transformation","Data and Analytics","Segmentation","Predictive Modeling","Propensity Scoring","Experimentation","Causal Measurement","ROI Analytics","Identity Resolution","Data Quality","Consent Management","GDPR Compliance","Privacy Regulations","Team Leadership","Marketing Automation","Personalization","Content Strategy","Measurement Frameworks","AI Governance",{"id":661,"slug":662,"title":663,"raw_title":10,"is_featured":11,"company":664,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":665,"processed_country_iso_code_gmaps":666,"processed_home_office":19,"processed_salary_min":667,"processed_salary_max":668,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":669,"processed_employment_types":107,"processed_it_skills":670,"processed_it_skills_labels":671,"processed_job_expertise_skills":674,"processed_job_expertise_skills_labels":675,"max_cpc":40,"actual_cpc":41},86362,"vp-quantitative-research-pacific-investment-mgt-co-llc","VP, Quantitative Research",{"name":624,"slug":625,"logo_url":626},[138],[18],205000,240000,[25],{"c++":55,"python":55,"intex cmo api":55,"cloud computing":28,"ai-powered development tools":28},[147,33,672,350,673],"Intex CMO API","AI-powered development tools",{"risk analytics":55,"credit modeling":55,"agile development":28,"cash flow modeling":55,"structured finance":55,"prepayment modeling":55,"securitized products":55,"software engineering best practices":28},[676,677,678,679,680,117,681,682],"Structured Finance","Prepayment Modeling","Credit Modeling","Cash Flow Modeling","Risk Analytics","Software Engineering Best Practices","Agile Development",{"id":684,"slug":685,"title":686,"raw_title":10,"is_featured":11,"company":687,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":690,"processed_country_iso_code_gmaps":692,"processed_home_office":19,"processed_salary_min":693,"processed_salary_max":534,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":694,"processed_employment_types":107,"processed_it_skills":695,"processed_it_skills_labels":696,"processed_job_expertise_skills":709,"processed_job_expertise_skills_labels":710,"max_cpc":40,"actual_cpc":41},86086,"senior-cyber-intelligence-analyst-state-employees-credit-union","Senior Cyber Intelligence Analyst",{"name":688,"slug":689,"logo_url":10},"State Employees' Credit Union","state-employees-credit-union",[691],"Raleigh",[18],120000,[25],{"f5":28,"spl":55,"ci\u002Fcd":28,"github":28,"python":28,"splunk":55,"tenable":28,"zscaler":28,"proofpoint":28,"stix\u002Ftaxii":28,"check point":28,"sentinelone":28,"github advanced security":28,"splunk enterprise security":55,"threat intelligence platform":28},[151,697,698,33,699,700,701,702,703,704,705,706,707,353,708],"Splunk Enterprise Security","SPL","GitHub","GitHub Advanced Security","Tenable","SentinelOne","Zscaler","Proofpoint","F5","Check Point","STIX\u002FTAXII","Threat Intelligence Platform",{"vpr":55,"ctem":55,"cvss":55,"epss":55,"ffiec":28,"pci dss":28,"cisa kev":55,"nist csf":28,"ai security":28,"cis controls":28,"mitre att&ck":55,"purple teaming":55,"threat hunting":55,"incident response":55,"adversary emulation":55,"exposure management":55,"threat intelligence":55,"application security":28,"exploit intelligence":55,"detection engineering":55,"vulnerability prioritization":55,"intelligence product standards":55,"software supply chain security":28,"structured analytic techniques":55},[711,712,713,714,715,716,717,718,719,720,721,722,370,723,724,725,726,727,728,729,730,519,731,732],"Threat Intelligence","Detection Engineering","Threat Hunting","MITRE ATT&CK","Structured Analytic Techniques","Intelligence Product Standards","Vulnerability Prioritization","CVSS","VPR","EPSS","CISA KEV","Exploit Intelligence","Purple Teaming","Adversary Emulation","Exposure Management","CTEM","FFIEC","NIST CSF","CIS Controls","PCI DSS","Software Supply Chain Security","Application Security",{"id":734,"slug":735,"title":736,"raw_title":10,"is_featured":11,"company":737,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":740,"processed_country_iso_code_gmaps":741,"processed_home_office":19,"processed_salary_min":693,"processed_salary_max":140,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":742,"processed_employment_types":107,"processed_it_skills":743,"processed_it_skills_labels":744,"processed_job_expertise_skills":749,"processed_job_expertise_skills_labels":750,"max_cpc":40,"actual_cpc":41},85664,"international-transfer-dir-p4-lead-software-eng-job-level-director-ms-services-group-inc","International Transfer - Dir, P4, Lead Software Eng : Job Level - Director",{"name":738,"slug":739,"logo_url":10},"MS Services Group, Inc.","ms-services-group-inc",[138],[18],[25],{"linux":28,"scala":28,"python":28,"ci\u002Fcd pipelines":28,"shell scripting":28,"monitoring tools":28,"automated testing":28},[33,745,746,145,156,747,748],"Shell scripting","Scala","Automated testing","Monitoring tools",{"devops":28,"design patterns":28,"trading technology":28,"agile methodologies":28,"market data systems":28,"n-tier architecture":28,"settlements systems":28,"software engineering":55,"software architecture":55,"functional programming":28,"risk management systems":28,"service-oriented design":28,"financial services knowledge":54},[751,752,753,754,755,756,757,758,759,760,761,762,763],"Software engineering","Software architecture","Functional programming","Design patterns","n-tier architecture","Service-oriented design","DevOps","Agile methodologies","Financial services knowledge","Trading technology","Risk management systems","Market data systems","Settlements systems",{"image_path":765,"content_de":766,"content_en":779,"composite_key":792,"last_updated":793},"\u002Fimages\u002Fskill\u002Fpython.webp",{"tab1":767,"tab2":770,"tab3":773,"tab4":776},{"title":768,"content":769},"Bedeutung & Relevanz","Die Bedeutung von [Python](\u002Fjobs-by-skill\u002Fpython) in den [Vereinigten Staaten](\u002Fsearch) ist enorm, insbesondere in der Finanzbranche. Als vielseitige Programmiersprache wird Python für [Datenanalyse](\u002Fjobs-by-expertise\u002Fdata-analysis), [Finanzmodellierung](\u002Fjobs-by-expertise\u002Ffinancial-modeling) und die Entwicklung von [KI-Tools](\u002Fjobs-by-skill\u002Fai-tools) eingesetzt. In [Newport Beach](\u002Fjobs-in-newport-beach) und [New York](\u002Fjobs-in-new-york) ist Python aufgrund seiner Effizienz bei der Automatisierung von Prozessen und der Handhabung großer Datenmengen unverzichtbar. Unternehmen wie [Pacific Investment Mgt Co. LLC](\u002Fcompany\u002Fpacific-investment-mgt-co-llc) nutzen Python für [Risikomanagement](\u002Fjobs-by-expertise\u002Frisk-management) und [Portfoliokonstruktion](\u002Fjobs-by-expertise\u002Fportfolio-construction), was die strategische Relevanz in der [Finanzbranche](\u002Fjobs-by-industry\u002Ffinance) unterstreicht. Die Nachfrage nach Python-Kenntnissen wächst stetig, da sie die Grundlage für Innovationen in [globalem Asset-Management](\u002Fjobs-by-industry\u002Fglobal-asset-management) und [Investment-Management](\u002Fjobs-by-industry\u002Finvestment-management) bildet.",{"title":771,"content":772},"Top-Branchen & Standorte","In den [Vereinigten Staaten](\u002Fsearch) ist [Python](\u002Fjobs-by-skill\u002Fpython) besonders in [Finanzbranchen](\u002Fjobs-by-industry\u002Ffinance) wie [globalem Asset-Management](\u002Fjobs-by-industry\u002Fglobal-asset-management), [Investment-Management](\u002Fjobs-by-industry\u002Finvestment-management) und [Finance and Investment](\u002Fjobs-by-industry\u002Ffinance-and-investment) gefragt. Top-Standorte mit hohem Bedarf sind [Newport Beach](\u002Fjobs-in-newport-beach) und [New York](\u002Fjobs-in-new-york), wo Unternehmen auf Python für [Datenanalyse](\u002Fjobs-by-expertise\u002Fdata-analysis) und [automatisierte Handelssysteme](\u002Fjobs-by-expertise\u002Fautomation-process-enhancement) setzen. Diese Orte sind Zentren für [Asset-Management](\u002Fjobs-by-industry\u002Fasset-management), was Python zu einer Schlüsselkompetenz für Jobs in [Banking](\u002Fjobs-by-industry\u002Fbanking) und [Fintech](\u002Fjobs-by-industry\u002Ffintech) macht. Die Kombination aus diesen Branchen und Standorten treibt die Nachfrage nach Python-Experten voran, die komplexe [Finanzmodelle](\u002Fjobs-by-expertise\u002Ffinancial-modeling) entwickeln und optimieren.",{"title":774,"content":775},"Gefragte Skills & Arbeitgeber","Führende Arbeitgeber in den [Vereinigten Staaten](\u002Fsearch) wie [Pacific Investment Mgt Co. LLC](\u002Fcompany\u002Fpacific-investment-mgt-co-llc) und [PGA Global Services LLC, UK Branch](\u002Fcompany\u002Fpga-global-services-llc-uk-branch) suchen nach [Python](\u002Fjobs-by-skill\u002Fpython)-Experten mit Kenntnissen in [Risikomanagement](\u002Fjobs-by-expertise\u002Frisk-management), [Fixed Income](\u002Fjobs-by-expertise\u002Ffixed-income-products) und [Portfoliokonstruktion](\u002Fjobs-by-expertise\u002Fportfolio-construction). Gefragte verwandte Expertisen umfassen [Datenanalyse](\u002Fjobs-by-expertise\u002Fdata-analysis), [Finanzmodellierung](\u002Fjobs-by-expertise\u002Ffinancial-modeling) und [Prozessverbesserung](\u002Fjobs-by-expertise\u002Fprocess-improvement). Diese Unternehmen setzen Python für [Optimierungstechniken](\u002Fjobs-by-expertise\u002Foptimization-techniques) und [quantitative Forschung](\u002Fjobs-by-expertise\u002Fquantitative-research) ein, um [Risikokontrolle](\u002Fjobs-by-expertise\u002Frisk-control) und [Performance-Management](\u002Fjobs-by-expertise\u002Fperformance-management) zu verbessern. In [New York](\u002Fjobs-in-new-york) und [Newport Beach](\u002Fjobs-in-newport-beach) ist Python essenziell für die Entwicklung von [Handelssystemen](\u002Fjobs-by-expertise\u002Ffixed-income-trading-systems) und [Datenpipelines](\u002Fjobs-by-expertise\u002Fdata-integration).",{"title":777,"content":778},"Karriere & Entwicklung","Karrierewege mit [Python](\u002Fjobs-by-skill\u002Fpython) in den [Vereinigten Staaten](\u002Fsearch) reichen von [Datenanalysten](\u002Fjobs-by-expertise\u002Fdata-analysis) bis zu [Softwareentwicklern](\u002Fjobs-by-expertise\u002Fapplication-development) in [Finanzdienstleistungen](\u002Fjobs-by-industry\u002Ffinancial-services). Um Python zu erlernen, empfehlen sich Online-Kurse, Zertifizierungen und praktische Projekte in verwandten Bereichen wie [SQL](\u002Fjobs-by-skill\u002Fsql), [AWS](\u002Fjobs-by-skill\u002Faws) und [Cloud Computing](\u002Fjobs-by-skill\u002Fcloud-computing). Top-verwandte IT-Skills include [Excel](\u002Fjobs-by-skill\u002Fms-excel) für [Finanzanalyse](\u002Fjobs-by-expertise\u002Ffinancial-analysis) und [Java](\u002Fjobs-by-skill\u002Fjava) für Systemintegration. Entwicklungsmöglichkeiten bestehen in [Investment-Management](\u002Fjobs-by-industry\u002Finvestment-management) durch den Erwerb von Kenntnissen in [statistischen Techniken](\u002Fjobs-by-expertise\u002Fstatistical-techniques) und [Machine Learning](\u002Fjobs-by-skill\u002Fmachine-learning). In Städten wie [New York](\u002Fjobs-in-new-york) bieten Arbeitgeber Trainings für [automatisierte Testing](\u002Fjobs-by-skill\u002Fautomated-testing-frameworks) und [CI\u002FCD-Pipelines](\u002Fjobs-by-skill\u002Fcicd), um Karrieren in [Fintech](\u002Fjobs-by-industry\u002Ffintech) voranzutreiben.",{"tab1":780,"tab2":783,"tab3":786,"tab4":789},{"title":781,"content":782},"Strategic Importance","Python is a critical programming skill in the [Vereinigte Staaten](\u002Fsearch) financial sector, driving innovation and efficiency across various domains. Its versatility in data analysis, automation, and quantitative modeling makes it indispensable for roles in [Asset Management](\u002Fjobs-by-industry\u002Fasset-management), [Investment Management](\u002Fjobs-by-industry\u002Finvestment-management), and [Finance](\u002Fjobs-by-industry\u002Ffinance). In the U.S., Python is widely used for developing algorithmic trading systems, risk management tools, and financial models, enabling professionals to handle large datasets and complex calculations with ease. The language's extensive libraries, such as Pandas and NumPy, support advanced analytics and machine learning applications, which are essential for optimizing investment strategies and enhancing decision-making processes. As the demand for data-driven insights grows, Python's role in the financial industry continues to expand, making it a key skill for career advancement and organizational success.",{"title":784,"content":785},"Top Industries & Locations","In the [Vereinigte Staaten](\u002Fsearch), Python is highly sought after in top industries like [Finance](\u002Fjobs-by-industry\u002Ffinance), [Global Asset Management](\u002Fjobs-by-industry\u002Fglobal-asset-management), and [Investment Management](\u002Fjobs-by-industry\u002Finvestment-management). Key locations with high demand include [Newport Beach](\u002Fjobs-in-newport-beach) and [New York](\u002Fjobs-in-new-york), where financial hubs thrive. These areas host numerous firms leveraging Python for quantitative analysis, portfolio optimization, and fintech innovations. The skill is also prevalent in [Banking](\u002Fjobs-by-industry\u002Fbanking) and [Financial Services](\u002Fjobs-by-industry\u002Ffinancial-services) sectors, supporting everything from risk assessment to automated trading systems. With the rise of digital transformation, Python's application extends to [Fintech](\u002Fjobs-by-industry\u002Ffintech) startups and established institutions, making it a cornerstone of modern financial operations in urban centers across the country.",{"title":787,"content":788},"In-Demand Skills & Employers","Top companies like Pacific Investment Mgt Co. LLC and PGA Global Services LLC, UK Branch in the [Vereinigte Staaten](\u002Fsearch) seek professionals with Python expertise for roles involving [Risk Management](\u002Fjobs-by-expertise\u002Frisk-management), [Financial Modeling](\u002Fjobs-by-expertise\u002Ffinancial-modeling), and [Data Analysis](\u002Fjobs-by-expertise\u002Fdata-analysis). Related expertises in demand include [Portfolio Construction](\u002Fjobs-by-expertise\u002Fportfolio-construction), [Fixed Income](\u002Fjobs-by-expertise\u002Ffixed-income), and [Quantitative Research](\u002Fjobs-by-expertise\u002Fquantitative-research), where Python is used for developing trading systems and analytics platforms. Employers value Python for its ability to handle [Optimization Techniques](\u002Fjobs-by-expertise\u002Foptimization-techniques) and support [Automation](\u002Fjobs-by-expertise\u002Fautomation) in financial processes. This skill is crucial for enhancing [Performance Measurement Methodologies](\u002Fjobs-by-expertise\u002Fperformance-measurement-methodologies) and driving innovation in [Investment Management](\u002Fjobs-by-expertise\u002Finvestment-management), making it a key requirement for competitive roles in the U.S. financial sector.",{"title":790,"content":791},"Career & Development","A career with Python in the [Vereinigte Staaten](\u002Fsearch) financial industry often starts with roles in data analysis, quantitative research, or software development, leading to positions like financial analyst, data scientist, or portfolio manager. To learn Python, pursue online courses, certifications, or degrees in computer science or finance, and practice with real-world projects involving [SQL](\u002Fjobs-by-skill\u002Fsql), [AWS](\u002Fjobs-by-skill\u002Faws), and [Machine Learning](\u002Fjobs-by-skill\u002Fmachine-learning). Complement Python with skills in [Excel](\u002Fjobs-by-skill\u002Fexcel), [Java](\u002Fjobs-by-skill\u002Fjava), and [Cloud Computing](\u002Fjobs-by-skill\u002Fcloud-computing) to enhance employability. Focus on developing expertise in [Financial Analysis](\u002Fjobs-by-expertise\u002Ffinancial-analysis) and [Process Improvement](\u002Fjobs-by-expertise\u002Fprocess-improvement) to advance in fields like [Asset Management](\u002Fjobs-by-expertise\u002Fasset-management) and [Investment Banking](\u002Fjobs-by-expertise\u002Finvestment-banking). 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