[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-python-in":3,"job-search-\u002Fen-in\u002Fjobs-by-skill\u002Fpython?page=10":33,"skill-page-filters-\u002Fen-in\u002Fjobs-by-skill\u002Fpython?page=10":715,"featured-jobs-\u002Fen-in\u002Fjobs-by-skill\u002Fpython?page=10":927},{"image_path":4,"content_de":5,"content_en":18,"composite_key":31,"last_updated":32},"\u002Fimages\u002Fskill\u002Fpython.webp",{"tab1":6,"tab2":9,"tab3":12,"tab4":15},{"title":7,"content":8},"Bedeutung & Relevanz","Die Bedeutung von [Python](\u002Fjobs-by-skill\u002Fpython) in [Indien](\u002Fsearch) hat in den letzten Jahren exponentiell zugenommen. Als vielseitige Programmiersprache spielt Python eine entscheidende Rolle in der digitalen Transformation der indischen Finanzindustrie. Insbesondere im Bereich [Asset Management](\u002Fjobs-by-industry\u002Fasset-management) und [Financial Services](\u002Fjobs-by-industry\u002Ffinancial-services) ermöglicht Python die Automatisierung komplexer Prozesse und die Entwicklung innovativer Finanzlösungen.\n\nIn [Indien](\u002Fsearch) wird Python intensiv für Datenanalyse, maschinelles Lernen und die Entwicklung von Finanzanwendungen genutzt. Die Sprache bietet eine robuste Grundlage für die Implementierung von [Generative AI](\u002Fjobs-by-skill\u002Fgenerative-ai) und [Artificial Intelligence Tools](\u002Fjobs-by-skill\u002Fartificial-intelligence-tools), die in der modernen Finanzwelt unverzichtbar geworden sind. Unternehmen wie Allianz Insurance setzen auf Python-basierte Lösungen für Risikomanagement und Portfolioptimierung.\n\nDie strategische Relevanz von Python zeigt sich besonders in der Fähigkeit, komplexe finanzielle Modelle zu erstellen und große Datenmengen effizient zu verarbeiten. Dies macht Python zu einer Schlüsselkompetenz für Fachkräfte, die in der dynamischen indischen Finanzbranche erfolgreich sein möchten.",{"title":10,"content":11},"Top-Branchen & Standorte","In [Indien](\u002Fsearch) konzentriert sich die Nachfrage nach Python-Kenntnissen auf mehrere Schlüsselbranchen und Standorte. Die Versicherungsbranche, insbesondere [Insurance](\u002Fjobs-by-industry\u002Finsurance) und [Insurance and Financial Services](\u002Fjobs-by-industry\u002Finsurance-and-financial-services), gehört zu den Hauptarbeitgebern für Python-Entwickler. Ebenso ist [Asset Management](\u002Fjobs-by-industry\u002Fasset-management) eine bedeutende Branche, die Python für Portfolioanalyse und Risikomanagement einsetzt.\n\nGeografisch gesehen sind [Pune](\u002Fsearch) und [Mumbai](\u002Fsearch) die führenden Standorte für Python-Profis in [Indien](\u002Fsearch). Diese Metropolen beherbergen zahlreiche Finanzinstitute und Technologieunternehmen, die Python für die Entwicklung innovativer Finanzlösungen nutzen. Die Kombination aus [Banking](\u002Fjobs-by-industry\u002Fbanking) und Technologie macht diese Städte zu idealen Orten für Python-Experten.\n\nWeitere wichtige Branchen umfassen [Financial Services](\u002Fjobs-by-industry\u002Ffinancial-services) und [Asset Management Financial Services](\u002Fjobs-by-industry\u002Fasset-management-financial-services), wo Python für die Automatisierung von Geschäftsprozessen und die Entwicklung von Handelsalgorithmen eingesetzt wird. Die Konzentration auf diese Branchen und Standorte bietet Python-Profis in [Indien](\u002Fsearch) exzellente Karrieremöglichkeiten.",{"title":13,"content":14},"Gefragte Skills & Arbeitgeber","Führende Unternehmen in [Indien](\u002Fsearch) wie Allianz Insurance und CO_ANT-MUM Annet Technologies Mumbai LLP suchen aktiv nach Python-Experten mit spezifischen Kompetenzen. Diese Arbeitgeber erwarten umfassende Kenntnisse in [DevOps Practices](\u002Fjobs-by-expertise\u002Fdevops-practices), [Agile Methodologies](\u002Fjobs-by-expertise\u002Fagile-methodologies) und [Risk Management](\u002Fjobs-by-expertise\u002Frisk-management).\n\nBesonders gefragt sind Expertise in [Financial Analysis](\u002Fjobs-by-expertise\u002Ffinancial-analysis) und [Financial Modeling](\u002Fjobs-by-expertise\u002Ffinancial-modeling), kombiniert mit Python-Kenntnissen. Weitere wichtige Bereiche umfassen [System Reliability](\u002Fjobs-by-expertise\u002Fsystem-reliability), [Incident Management](\u002Fjobs-by-expertise\u002Fincident-management) und [Performance Optimization](\u002Fjobs-by-expertise\u002Fperformance-optimization). Die Integration von Python mit [Cloud Infrastructure Automation](\u002Fjobs-by-expertise\u002Fcloud-infrastructure-automation) und [Event-Driven Architecture](\u002Fjobs-by-expertise\u002Fevent-driven-architecture) ist ebenfalls hochrelevant.\n\nUnternehmen wie Allianz Insurance setzen Python für [Portfolio Management](\u002Fjobs-by-expertise\u002Fportfolio-management) und [Risk Assessment](\u002Fjobs-by-expertise\u002Frisk-assessment) ein, während Technologiefirmen wie CO_ANT-MUM Annet Technologies Mumbai LLP die Sprache für die Entwicklung von Finanzsoftware und Automatisierungslösungen nutzen. Die Kombination aus Python und [Financial Markets](\u002Fjobs-by-expertise\u002Ffinancial-markets)-Expertise ist besonders wertvoll.",{"title":16,"content":17},"Karriere & Entwicklung","Die Karrierewege für Python-Experten in [Indien](\u002Fsearch) sind vielfältig und vielversprechend. Einsteiger können als Python-Entwickler in Finanzinstituten beginnen und sich zu Spezialisten für [Financial Analysis](\u002Fjobs-by-expertise\u002Ffinancial-analysis) oder [Data Analytics](\u002Fjobs-by-expertise\u002Fdata-analytics) entwickeln. Fortgeschrittene Karrierepfade führen zu Positionen wie Data Scientist, Quant-Analyst oder Finanzsoftware-Architekt.\n\nUm Python effektiv zu erlernen, sollten angehende Entwickler zunächst Grundlagen wie [SQL](\u002Fjobs-by-skill\u002Fsql) und [MS Excel](\u002Fjobs-by-skill\u002Fms-excel) beherrschen. Die Integration mit Technologien wie [Kubernetes](\u002Fjobs-by-skill\u002Fkubernetes), [AWS](\u002Fjobs-by-skill\u002Faws) und [Docker](\u002Fjobs-by-skill\u002Fdocker) ist essentiell für moderne Anwendungen. Kenntnisse in [CI\u002FCD Pipelines](\u002Fjobs-by-skill\u002Fci-cd-pipelines) und [Git](\u002Fjobs-by-skill\u002Fgit) verbessern die Entwicklungseffizienz erheblich.\n\nDie Kombination von Python mit [Machine Learning](\u002Fjobs-by-skill\u002Fmachine-learning) und [Generative AI](\u002Fjobs-by-skill\u002Fgenerative-ai) eröffnet besonders zukunftsträchtige Perspektiven. Fachkräfte sollten sich kontinuierlich in Bereichen wie [Cloud Computing](\u002Fjobs-by-skill\u002Fcloud-computing), [System Monitoring](\u002Fjobs-by-skill\u002Fsystem-monitoring) und [Automation Scripting](\u002Fjobs-by-skill\u002Fautomation-scripting) weiterbilden, um wettbewerbsfähig zu bleiben. Praktische Erfahrung mit [Financial Modeling](\u002Fjobs-by-expertise\u002Ffinancial-modeling) und [Risk Management](\u002Fjobs-by-expertise\u002Frisk-management) rundet das Profil ab.",{"tab1":19,"tab2":22,"tab3":25,"tab4":28},{"title":20,"content":21},"Strategic Importance","Python has emerged as a cornerstone technology in India's rapidly evolving financial landscape, particularly within the insurance and financial services sectors. Its versatility and extensive library ecosystem make it indispensable for developing sophisticated automation solutions, data analytics platforms, and financial technology applications. In India, where digital transformation is accelerating, Python enables companies like Allianz Insurance and CO_ANT-MUM Annet Technologies Mumbai LLP to streamline operations, enhance customer experiences, and drive innovation in areas such as fund administration and cross-jurisdictional services. The language's simplicity and scalability support the implementation of [Generative AI](\u002Fjobs-by-skill\u002Fgenerative-ai) and [Artificial Intelligence Tools](\u002Fjobs-by-skill\u002Fartificial-intelligence-tools), which are critical for competitive differentiation. As financial institutions increasingly adopt cloud infrastructure and [Automation Solutions](\u002Fjobs-by-expertise\u002Fautomation-solutions), Python's role in scripting, data processing, and system integration becomes paramount, ensuring robust, efficient, and secure financial ecosystems tailored to India's dynamic market demands.",{"title":23,"content":24},"Top Industries & Locations","In India, Python is highly sought after in key industries such as [Insurance](\u002Fjobs-by-industry\u002Finsurance), [Insurance and Asset Management](\u002Fjobs-by-industry\u002Finsurance-and-asset-management), [Insurance and Financial Services](\u002Fjobs-by-industry\u002Finsurance-and-financial-services), and [Financial Services](\u002Fjobs-by-industry\u002Ffinancial-services). These sectors leverage Python for tasks ranging from data analysis and financial modeling to automation and software development, aligning with the country's push toward digitalization. Geographically, demand is concentrated in major hubs like [Pune](\u002Fsearch) and [Mumbai](\u002Fsearch), where a thriving tech ecosystem supports innovation in financial services technology. These locations host numerous companies driving Python adoption for applications in [Cloud Computing](\u002Fjobs-by-skill\u002Fcloud-computing), [System Monitoring](\u002Fjobs-by-skill\u002Fsystem-monitoring), and [Web Application Development](\u002Fjobs-by-expertise\u002Fweb-application-development), making them prime areas for professionals skilled in Python to find opportunities in roles that require cross-functional collaboration and adherence to compliance standards like [SOX Compliance](\u002Fjobs-by-expertise\u002Fsox-compliance) and [GDPR Compliance](\u002Fjobs-by-expertise\u002Fgdpr-compliance).",{"title":26,"content":27},"In-Demand Skills & Employers","Top companies in India, including [Allianz Insurance](\u002Fcompany\u002Fallianz-insurance) and [CO_ANT-MUM Annet Technologies Mumbai LLP](\u002Fcompany\u002Fco_ant-mum-annet-technologies-mumbai-llp), seek Python expertise to support a range of specialized functions. These employers value professionals who combine Python with [DevOps Practices](\u002Fjobs-by-expertise\u002Fdevops-practices), [Agile Methodologies](\u002Fjobs-by-expertise\u002Fagile-methodologies), and [Risk Mitigation](\u002Fjobs-by-expertise\u002Frisk-mitigation) to enhance system reliability and incident management. Key related expertises in demand include [System Reliability](\u002Fjobs-by-expertise\u002Fsystem-reliability), [Performance Optimization](\u002Fjobs-by-expertise\u002Fperformance-optimization), and [Site Reliability Engineering](\u002Fjobs-by-expertise\u002Fsite-reliability-engineering), which are essential for maintaining robust IT infrastructure. Additionally, skills in [Financial Analysis](\u002Fjobs-by-expertise\u002Ffinancial-analysis) and [Financial Modeling](\u002Fjobs-by-expertise\u002Ffinancial-modeling) are often paired with Python to drive data-driven decision-making. Employers also prioritize knowledge in [Security Best Practices](\u002Fjobs-by-expertise\u002Fsecurity-best-practices) and [Compliance Management](\u002Fjobs-by-expertise\u002Fcompliance-management), ensuring that Python applications meet regulatory requirements like [ISO 27001 Compliance](\u002Fjobs-by-expertise\u002Fiso-27001-compliance) in India's stringent financial environment.",{"title":29,"content":30},"Career & Development","A career leveraging Python in India offers diverse paths, from roles in software development and data engineering to specialized positions in financial technology and [Asset Management](\u002Fjobs-by-industry\u002Fasset-management). To build expertise, professionals should focus on mastering Python alongside [TOP RELATED IT SKILLS](\u002Fjobs-by-skill\u002Ftop-related-it-skills) such as [Kubernetes](\u002Fjobs-by-skill\u002Fkubernetes), [AWS](\u002Fjobs-by-skill\u002Faws), and [Azure](\u002Fjobs-by-skill\u002Fazure), which are critical for cloud-based applications. Learning [CI\u002FCD Pipelines](\u002Fjobs-by-skill\u002Fci-cd-pipelines) and tools like [Docker](\u002Fjobs-by-skill\u002Fdocker) and [Git](\u002Fjobs-by-skill\u002Fgit) enhances capabilities in automation and [Software Development](\u002Fjobs-by-expertise\u002Fsoftware-development). For advancement, combining Python with [Data Analytics](\u002Fjobs-by-expertise\u002Fdata-analytics) and [Machine Learning](\u002Fjobs-by-skill\u002Fmachine-learning) opens doors to roles in [Generative AI](\u002Fjobs-by-skill\u002Fgenerative-ai) and [Artificial Intelligence](\u002Fjobs-by-skill\u002Fartificial-intelligence), areas of growing importance in India. Engaging in continuous learning through certifications and hands-on projects in [System Integration](\u002Fjobs-by-expertise\u002Fsystem-integration) and [Cloud Infrastructure Automation](\u002Fjobs-by-expertise\u002Fcloud-infrastructure-automation) can lead to opportunities in top industries, supporting career growth in Pune, Mumbai, and beyond while adhering to evolving [Security Protocols](\u002Fjobs-by-expertise\u002Fsecurity-protocols) and digitalization trends.","skill:python:in","2026-08-17T09:01:41.503922+02:00",{"total":34,"jobs":35},275,[36,93,123,160,208,245,279,310,347,381,410,447,481,508,526,551,583,613,669,696],{"id":37,"slug":38,"title":39,"raw_title":40,"is_featured":41,"company":42,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":45,"processed_country_iso_code_gmaps":47,"processed_home_office":49,"processed_salary_min":50,"processed_salary_max":51,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":54,"processed_employment_types":56,"processed_it_skills":57,"processed_it_skills_labels":60,"processed_job_expertise_skills":75,"processed_job_expertise_skills_labels":76,"max_cpc":92,"actual_cpc":92},49318,"backup-amp-storage-engineering-mufg-global-service-private-limited","Backup & Storage Engineering",null,false,{"name":43,"slug":44,"logo_url":40},"MUFG Global Service Private Limited","mufg-global-service-private-limited",[46],"Bengaluru",[48],"IN","onsite",3000000,5000000,"INR","estimated",[55],"FULL_TIME","permanent",{"nas":58,"san":58,"linux":59,"python":58,"windows":59,"commvault":58,"netbackup":58,"rest apis":58,"powershell":58,"cloud storage":59,"object storage":58,"virtualization":59,"ai-enabled tools":59,"monitoring tools":59},4,3,[61,62,63,64,65,66,67,68,69,70,71,72,73,74],"Commvault","NetBackup","SAN","NAS","Object Storage","Cloud Storage","PowerShell","Python","REST APIs","Windows","Linux","Virtualization","Monitoring Tools","AI-enabled tools",{"automation":58,"compliance":58,"risk management":58,"solution design":58,"audit management":59,"capacity planning":59,"disaster recovery":58,"vendor management":59,"business continuity":58,"storage engineering":58,"lifecycle management":58,"technical leadership":58,"infrastructure as code":59,"operational resilience":58,"backup and recovery engineering":58},[77,78,79,80,81,82,83,84,85,86,87,88,89,90,91],"Backup and Recovery Engineering","Storage Engineering","Disaster Recovery","Business Continuity","Operational Resilience","Infrastructure as Code","Automation","Vendor Management","Audit Management","Compliance","Risk Management","Solution Design","Lifecycle Management","Capacity Planning","Technical Leadership",1,{"id":94,"slug":95,"title":96,"raw_title":40,"is_featured":41,"company":97,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":98,"processed_country_iso_code_gmaps":99,"processed_home_office":49,"processed_salary_min":50,"processed_salary_max":51,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":100,"processed_employment_types":56,"processed_it_skills":101,"processed_it_skills_labels":102,"processed_job_expertise_skills":115,"processed_job_expertise_skills_labels":116,"max_cpc":92,"actual_cpc":92},49373,"senior-windows-amp-automation-engineer-mufg-global-service-private-limited","Senior Windows & Automation Engineer",{"name":43,"slug":44,"logo_url":40},[46],[48],[55],{"mecm":58,"python":58,"splunk":59,"vmware":58,"ansible":58,"hyper-v":58,"dynatrace":59,"json\u002Fyaml":58,"javascript":58,"powershell":58,"devops tools":59,"api integration":59,"infrastructure as code":58,"windows administration":58,"site reliability engineering":58},[68,67,103,104,82,105,106,107,108,109,110,111,112,113,114],"JavaScript","Ansible","Site Reliability Engineering","API Integration","DevOps Tools","Windows Administration","MECM","JSON\u002FYAML","VMware","Hyper-V","Dynatrace","Splunk",{"automation":58,"cost management":58,"risk management":58,"audit management":58,"capacity planning":58,"platform strategy":58,"project management":58,"service management":58,"security compliance":58,"infrastructure engineering":58},[83,117,118,87,119,85,90,120,121,122],"Infrastructure Engineering","Platform Strategy","Security Compliance","Cost Management","Project Management","Service Management",{"id":124,"slug":125,"title":126,"raw_title":40,"is_featured":41,"company":127,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":128,"processed_country_iso_code_gmaps":129,"processed_home_office":49,"processed_salary_min":50,"processed_salary_max":51,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":130,"processed_employment_types":56,"processed_it_skills":131,"processed_it_skills_labels":133,"processed_job_expertise_skills":140,"processed_job_expertise_skills_labels":141,"max_cpc":92,"actual_cpc":92},49274,"avp-gfcct-systems-and-technology-mufg-global-service-private-limited","AVP - GFCCT Systems and Technology",{"name":43,"slug":44,"logo_url":40},[46],[48],[55],{"sql":58,"python":59,"alteryx":59,"microsoft word":132,"microsoft excel":59,"microsoft access":132,"microsoft powerpoint":132},2,[134,68,135,136,137,138,139],"SQL","Alteryx","Microsoft Excel","Microsoft Access","Microsoft PowerPoint","Microsoft Word",{"kyc":59,"chips":132,"fedwire":132,"swift mt":59,"iso 20022":59,"data lineage":58,"data mapping":58,"data analysis":58,"test planning":58,"system testing":58,"test execution":58,"defect management":59,"acams certification":59,"sanctions screening":58,"regulatory compliance":59,"test case development":58,"transaction monitoring":58,"financial crimes compliance":58},[142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159],"Financial Crimes Compliance","Sanctions Screening","Transaction Monitoring","KYC","Data Mapping","Data Lineage","System Testing","Test Planning","Test Case Development","Test Execution","Defect Management","Data Analysis","SWIFT MT","ISO 20022","CHIPS","Fedwire","Regulatory Compliance","ACAMS Certification",{"id":161,"slug":162,"title":163,"raw_title":40,"is_featured":41,"company":164,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":167,"processed_country_iso_code_gmaps":168,"processed_home_office":49,"processed_salary_min":169,"processed_salary_max":170,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":171,"processed_employment_types":56,"processed_it_skills":172,"processed_it_skills_labels":173,"processed_job_expertise_skills":187,"processed_job_expertise_skills_labels":188,"max_cpc":92,"actual_cpc":92},59663,"quality-assurance-engineer-ind201-refinitiv-india-shared-services-private-limited","Quality Assurance Engineer",{"name":165,"slug":166,"logo_url":40},"Refinitiv India Shared Services Private Limited","refinitiv-india-shared-services-private-limited",[46],[48],1200000,1800000,[55],{"git":59,"rest":59,"ci\u002Fcd":59,"python":58,"copilot":59,"graphql":132,"jenkins":132,"javascript":58,"playwright":58,"typescript":58,"api testing":59,"webdriverio":58,"azure devops":132,"github actions":132,"visual studio code":59},[174,175,103,176,68,177,178,179,180,181,182,183,184,185,186],"Playwright","WebdriverIO","TypeScript","Git","CI\u002FCD","Azure DevOps","GitHub Actions","Jenkins","Visual Studio Code","Copilot","API testing","GraphQL","REST",{"iframes":59,"mocking":132,"debugging":58,"shadow dom":59,"agile\u002Fscrum":59,"test planning":59,"test automation":58,"security testing":132,"test case design":59,"web technologies":59,"end-to-end testing":58,"functional testing":58,"locator strategies":58,"regression testing":58,"agent-based testing":59,"ai-assisted testing":59,"performance testing":132,"test data management":132,"accessibility testing":132,"service virtualization":132},[189,149,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207],"Test Automation","Test Case Design","Regression Testing","End-to-End Testing","Functional Testing","Debugging","Locator Strategies","Shadow DOM","Iframes","Web Technologies","Agile\u002FScrum","AI-assisted Testing","Agent-based Testing","Test Data Management","Mocking","Service Virtualization","Performance Testing","Accessibility Testing","Security Testing",{"id":209,"slug":210,"title":211,"raw_title":40,"is_featured":41,"company":212,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":213,"processed_country_iso_code_gmaps":214,"processed_home_office":49,"processed_salary_min":215,"processed_salary_max":216,"processed_salary_currency":217,"processed_salary_source":53,"processed_working_hours":218,"processed_employment_types":56,"processed_it_skills":219,"processed_it_skills_labels":220,"processed_job_expertise_skills":231,"processed_job_expertise_skills_labels":232,"max_cpc":92,"actual_cpc":92},59638,"enterprise-tooling-jira-support-engineer-ind201-refinitiv-india-shared-services-private-limited-2","Enterprise Tooling JIRA Support Engineer",{"name":165,"slug":166,"logo_url":40},[46],[48],90000,120000,"USD",[55],{"git":59,"sql":59,"java":132,"jira":58,"llms":132,"linux":59,"groovy":58,"python":59,"clarity":59,"windows":59,"planview":59,"bitbucket":58,"rest apis":58,"ai chatbot":132,"confluence":58,"javascript":59,"servicenow":59},[221,222,223,224,68,103,225,134,69,71,70,177,226,227,228,229,230],"JIRA","Confluence","Bitbucket","Groovy","Java","ServiceNow","Clarity","Planview","AI chatbot","LLMs",{"jql":58,"itsm":59,"scrum":59,"kanban":59,"scriptrunner":58,"workflow design":58,"scheme management":58,"system integration":58,"agile methodologies":59,"reporting frameworks":59,"cloud and saas implementation":59,"software development lifecycle":59},[233,234,235,236,237,238,239,240,241,242,243,244],"Workflow design","JQL","Scheme management","ITSM","ScriptRunner","Agile methodologies","Scrum","Kanban","System integration","Cloud and SaaS implementation","Reporting frameworks","Software development lifecycle",{"id":246,"slug":247,"title":248,"raw_title":40,"is_featured":41,"company":249,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":252,"processed_country_iso_code_gmaps":254,"processed_home_office":255,"processed_salary_min":50,"processed_salary_max":51,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":256,"processed_employment_types":56,"processed_it_skills":257,"processed_it_skills_labels":258,"processed_job_expertise_skills":271,"processed_job_expertise_skills_labels":272,"max_cpc":92,"actual_cpc":92},47544,"prin-eng-i-cloud-amp-sol-india-private-limited-sez-unit","Prin. Eng. I, Cloud & Sol",{"name":250,"slug":251,"logo_url":40},"Invesco (India) Private Limited - SEZ Unit","invesco-india-private-limited-sez-unit",[253],"Serilingampalle (M)",[48],"hybrid",[55],{"aws":58,"wiz":132,"bash":59,"itil":132,"jira":132,"ci\u002Fcd":132,"linux":59,"docker":59,"python":59,"splunk":59,"ansible":59,"jenkins":59,"windows":59,"opentofu":59,"terraform":58,"cloudwatch":59,"confluence":132,"kubernetes":59,"networking":59,"servicenow":59,"cloudformation":59},[259,260,261,262,68,263,114,264,226,71,70,104,181,265,266,267,178,268,222,269,270],"AWS","Terraform","CloudFormation","OpenTofu","Bash","CloudWatch","Docker","Kubernetes","Networking","Jira","WIZ","ITIL",{"agile":59,"automation":58,"incident response":58,"project management":59,"monitoring & alerting":58,"security & compliance":58,"performance optimization":58,"infrastructure management":58},[273,274,83,275,276,277,278,121],"Infrastructure Management","Monitoring & Alerting","Incident Response","Security & Compliance","Performance Optimization","Agile",{"id":280,"slug":281,"title":282,"raw_title":40,"is_featured":41,"company":283,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":284,"processed_country_iso_code_gmaps":285,"processed_home_office":49,"processed_salary_min":286,"processed_salary_max":287,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":288,"processed_employment_types":56,"processed_it_skills":289,"processed_it_skills_labels":290,"processed_job_expertise_skills":297,"processed_job_expertise_skills_labels":298,"max_cpc":92,"actual_cpc":92},49354,"sql-developer-sr-analyst-mufg-global-service-private-limited","SQL Developer - Sr Analyst",{"name":43,"slug":44,"logo_url":40},[46],[48],1500000,2500000,[55],{"sql":58,"ssis":58,"ssrs":59,"ci\u002Fcd":132,"oracle":132,"python":132,"power bi":59,"control-m":132,"snowflake":132,"powershell":132},[134,291,292,293,68,67,294,295,296,178],"SSIS","SSRS","Power BI","Snowflake","Oracle","Control-M",{"etl\u002Felt":58,"data security":59,"data integration":58,"data warehousing":58,"devops practices":132,"performance tuning":58,"query optimization":58,"star schema design":58,"agile methodologies":132,"dimensional modeling":58,"execution plan analysis":58},[299,300,301,302,303,304,305,306,307,308,309],"Data Warehousing","Dimensional Modeling","Star Schema Design","Performance Tuning","Query Optimization","Execution Plan Analysis","ETL\u002FELT","Data Integration","Data Security","Agile Methodologies","DevOps Practices",{"id":311,"slug":312,"title":313,"raw_title":40,"is_featured":41,"company":314,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":315,"processed_country_iso_code_gmaps":316,"processed_home_office":49,"processed_salary_min":215,"processed_salary_max":317,"processed_salary_currency":217,"processed_salary_source":53,"processed_working_hours":318,"processed_employment_types":56,"processed_it_skills":319,"processed_it_skills_labels":320,"processed_job_expertise_skills":327,"processed_job_expertise_skills_labels":328,"max_cpc":92,"actual_cpc":92},59748,"senior-data-scientist-ind201-refinitiv-india-shared-services-private-limited","Senior Data Scientist",{"name":165,"slug":166,"logo_url":40},[46],[48],130000,[55],{"r":59,"aws":58,"git":59,"sql":59,"azure":59,"ci\u002Fcd":59,"mlops":59,"python":58,"pytorch":58,"tensorflow":58,"scikit-learn":58},[68,321,134,322,323,324,177,178,259,325,326],"R","TensorFlow","PyTorch","Scikit-learn","Azure","MLOps",{"web crawling":59,"deep learning":58,"data analytics":58,"financial data":59,"product vision":58,"cloud platforms":58,"data management":59,"coding standards":59,"machine learning":58,"entity extraction":59,"prompt engineering":58,"feature engineering":58,"predictive modeling":58,"statistical analysis":58,"evaluation frameworks":59,"large language models":58,"natural language processing":58,"retrieval-augmented generation":58},[329,330,331,332,333,334,335,336,337,338,339,340,341,342,343,344,345,346],"Data Analytics","Feature Engineering","Predictive Modeling","Statistical Analysis","Natural Language Processing","Large Language Models","Prompt Engineering","Retrieval-Augmented Generation","Deep Learning","Machine Learning","Web Crawling","Entity Extraction","Data Management","Financial Data","Product Vision","Coding Standards","Evaluation Frameworks","Cloud Platforms",{"id":348,"slug":349,"title":350,"raw_title":40,"is_featured":41,"company":351,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":354,"processed_country_iso_code_gmaps":356,"processed_home_office":49,"processed_salary_min":357,"processed_salary_max":358,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":359,"processed_employment_types":56,"processed_it_skills":360,"processed_it_skills_labels":361,"processed_job_expertise_skills":370,"processed_job_expertise_skills_labels":371,"max_cpc":92,"actual_cpc":92},51809,"senior-associate-data-scientist-tiaa-global-capabilities-private-limited","Senior Associate - Data Scientist",{"name":352,"slug":353,"logo_url":40},"TIAA Global Capabilities Private Limited","tiaa-global-capabilities-private-limited",[355],"Pune",[48],2000000,3500000,[55],{"sql":58,"keras":58,"spark":59,"mlflow":59,"python":58,"pytorch":58,"tableau":59,"xgboost":58,"snowflake":59,"databricks":59,"tensorflow":58,"scikit-learn":58,"aws sagemaker":59},[68,134,322,362,323,363,364,365,366,294,367,368,369],"Keras","scikit-learn","XGBoost","Databricks","Spark","MLflow","AWS SageMaker","Tableau",{"statistics":58,"programming":58,"optimization":58,"deep learning":58,"llm knowledge":59,"pattern mining":58,"user profiling":58,"machine learning":58,"data preprocessing":58,"prompt engineering":59,"predictive modeling":58,"recommender systems":58,"market\u002Findustry dynamics":59},[338,337,372,331,373,374,375,376,377,378,379,380,335],"Data Preprocessing","Statistics","Programming","Market\u002FIndustry Dynamics","Optimization","Pattern Mining","Recommender Systems","User Profiling","LLM Knowledge",{"id":382,"slug":383,"title":384,"raw_title":40,"is_featured":41,"company":385,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":388,"processed_country_iso_code_gmaps":390,"processed_home_office":49,"processed_salary_min":51,"processed_salary_max":391,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":392,"processed_employment_types":56,"processed_it_skills":393,"processed_it_skills_labels":394,"processed_job_expertise_skills":397,"processed_job_expertise_skills_labels":398,"max_cpc":92,"actual_cpc":92},48920,"quantitative-investment-strategies-executive-director-global-markets-mumbai-morgan-stanley-advantage-svcs","Quantitative Investment Strategies - Executive Director - Global Markets - Mumbai",{"name":386,"slug":387,"logo_url":40},"Morgan Stanley Advantage Svcs","morgan-stanley-advantage-svcs",[389],"Mumbai",[48],10000000,[55],{"c++":58,"kdb":59,"java":58,"python":58},[68,225,395,396],"C++","KDB",{"leadership":58,"backtesting":58,"index design":58,"data analysis":58,"option greeks":58,"risk management":58,"team development":58,"derivatives pricing":58,"structured products":58,"financial engineering":58,"quantitative research":58,"stakeholder management":58,"performance attribution":58},[399,400,401,402,87,403,404,405,406,407,408,409,153],"Quantitative Research","Index Design","Backtesting","Performance Attribution","Derivatives Pricing","Option Greeks","Financial Engineering","Structured Products","Leadership","Stakeholder Management","Team Development",{"id":411,"slug":412,"title":413,"raw_title":40,"is_featured":41,"company":414,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":418,"processed_country_iso_code_gmaps":419,"processed_home_office":255,"processed_salary_min":420,"processed_salary_max":421,"processed_salary_currency":422,"processed_salary_source":53,"processed_working_hours":423,"processed_employment_types":56,"processed_it_skills":424,"processed_it_skills_labels":425,"processed_job_expertise_skills":440,"processed_job_expertise_skills_labels":441,"max_cpc":92,"actual_cpc":92},81514,"analyst-infrastructure-operationspostgresql-mongodb2040-allianz-insurance","Analyst-Infrastructure Operations(postgreSQl + MongoDB)_2040",{"name":415,"slug":416,"logo_url":417},"Allianz Insurance","allianz-insurance","https:\u002F\u002Fcdn.phenompeople.com\u002FCareerConnectResources\u002FAISAIPGB\u002Fimages\u002FHeader-1706868786965.svg",[355],[48],70000,95000,"EUR",[55],{"sql":58,"bash":59,"linux":58,"python":59,"aws cdk":132,"aws dms":59,"atlas cli":59,"azure dms":59,"terraform":59,"cloudwatch":59,"postgresql":58,"atlas search":132,"azure monitor":59,"mongodb atlas":59,"atlas triggers":132,"aws rds\u002Faurora":58,"atlas app services":132,"atlas data federation":132,"terraform atlas provider":59,"azure database for postgresql":58},[426,427,428,429,71,263,68,134,260,430,264,431,432,433,434,435,436,437,438,439],"PostgreSQL","MongoDB Atlas","AWS RDS\u002FAurora","Azure Database for PostgreSQL","AWS CDK","Azure Monitor","AWS DMS","Azure DMS","Atlas CLI","Terraform Atlas provider","Atlas Data Federation","Atlas Search","Atlas Triggers","Atlas App Services",{"cloud migration":59,"on-call support":59,"capacity planning":58,"database security":58,"disaster recovery":58,"performance tuning":58,"backup and recovery":58,"infrastructure as code":59,"database administration":58},[442,302,443,79,444,90,445,82,446],"Database Administration","Backup and Recovery","Database Security","Cloud Migration","On-call Support",{"id":448,"slug":449,"title":450,"raw_title":40,"is_featured":41,"company":451,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":452,"processed_country_iso_code_gmaps":453,"processed_home_office":49,"processed_salary_min":357,"processed_salary_max":358,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":454,"processed_employment_types":56,"processed_it_skills":455,"processed_it_skills_labels":456,"processed_job_expertise_skills":463,"processed_job_expertise_skills_labels":464,"max_cpc":92,"actual_cpc":92},49351,"qe-analyst-mufg-global-service-private-limited","QE- Analyst",{"name":43,"slug":44,"logo_url":40},[46],[48],[55],{"alm":59,"sql":58,"java":132,"jira":59,"python":59,"soapui":59,"jenkins":132,"postman":59,"tableau":132,"power bi":132,"gitlab ci":132,"confluence":132,"javascript":59,"playwright":58,"sharepoint":132,"typescript":132,"github actions":132,"github copilot":59},[134,174,103,68,225,176,457,458,268,459,460,181,180,461,369,293,222,462],"Postman","SoapUI","ALM","GitHub Copilot","GitLab CI","SharePoint",{"aml":58,"sit\u002Fuat":58,"compliance":58,"api testing":59,"etl testing":59,"banking domain":58,"data migration":59,"financial risk":58,"general ledger":58,"data validation":58,"test management":58,"software testing":58,"test case design":58,"defect management":58,"automation testing":58,"ai-assisted testing":59,"application upgrades":59,"financial operations":58,"sanctions compliance":58},[465,190,466,152,467,468,469,470,471,472,473,474,475,86,476,477,478,479,480],"Software Testing","Test Management","SIT\u002FUAT","Data Validation","ETL Testing","API Testing","Automation Testing","AI-Assisted Testing","Banking Domain","AML","Financial Risk","Sanctions Compliance","Financial Operations","General Ledger","Data Migration","Application Upgrades",{"id":482,"slug":483,"title":484,"raw_title":40,"is_featured":41,"company":485,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":488,"processed_country_iso_code_gmaps":489,"processed_home_office":49,"processed_salary_min":420,"processed_salary_max":490,"processed_salary_currency":491,"processed_salary_source":53,"processed_working_hours":492,"processed_employment_types":56,"processed_it_skills":493,"processed_it_skills_labels":494,"processed_job_expertise_skills":498,"processed_job_expertise_skills_labels":499,"max_cpc":92,"actual_cpc":92},59640,"ftse-software-engineering-amp-data-engineering-opportunities-lseg","FTSE Software Engineering & Data Engineering Opportunities",{"name":486,"slug":487,"logo_url":40},"LSEG","lseg",[46],[48],100000,"GBP",[55],{"c#":59,"aws":59,"c++":59,"java":59,"azure":59,"ci\u002Fcd":59,"python":59,"testing":59,"automation":59,"ai-assisted development tooling":59},[225,68,395,495,259,325,178,83,496,497],"C#","Testing","AI-assisted development tooling",{"devops":59,"analytics":59,"architecture":59,"data platforms":59,"data engineering":59,"machine learning":59,"cloud engineering":59,"distributed systems":59,"software engineering":59,"site reliability engineering":59},[500,501,502,105,338,503,504,505,506,507],"Software Engineering","Data Engineering","Cloud Engineering","DevOps","Architecture","Distributed Systems","Analytics","Data Platforms",{"id":509,"slug":510,"title":511,"raw_title":40,"is_featured":41,"company":512,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":513,"processed_country_iso_code_gmaps":514,"processed_home_office":49,"processed_salary_min":420,"processed_salary_max":490,"processed_salary_currency":491,"processed_salary_source":53,"processed_working_hours":515,"processed_employment_types":56,"processed_it_skills":516,"processed_it_skills_labels":517,"processed_job_expertise_skills":519,"processed_job_expertise_skills_labels":520,"max_cpc":92,"actual_cpc":92},59639,"ftse-senior-engineering-amp-architecture-opportunities-lseg","FTSE Senior Engineering & Architecture Opportunities",{"name":486,"slug":487,"logo_url":40},[46],[48],[55],{"c#":59,"aws":59,"c++":59,"java":59,"azure":59,"ci\u002Fcd":59,"python":59,"ai-assisted development":59},[225,68,395,495,259,325,178,518],"AI-assisted development",{"data engineering":59,"devops & automation":59,"software engineering":58,"ai & machine learning":59,"analytics & data platforms":59,"cloud & platform engineering":59,"site reliability engineering":59,"architecture & distributed systems":59},[500,501,521,105,522,523,524,525],"Cloud & Platform Engineering","AI & Machine Learning","DevOps & Automation","Architecture & Distributed Systems","Analytics & Data Platforms",{"id":527,"slug":528,"title":529,"raw_title":40,"is_featured":41,"company":530,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":531,"processed_country_iso_code_gmaps":532,"processed_home_office":49,"processed_salary_min":50,"processed_salary_max":51,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":533,"processed_employment_types":56,"processed_it_skills":534,"processed_it_skills_labels":535,"processed_job_expertise_skills":539,"processed_job_expertise_skills_labels":540,"max_cpc":92,"actual_cpc":92},49355,"quality-assurance-lead-mufg-global-service-private-limited","Quality Assurance - Lead",{"name":43,"slug":44,"logo_url":40},[46],[48],[55],{"alm":59,"etl":59,"git":59,"sql":58,"java":132,"jira":59,"xray":59,"python":132,"zephyr":59,"jenkins":59,"tableau":59,"power bi":59,"javascript":59,"playwright":58,"typescript":59,"github copilot":58},[174,103,176,134,536,177,181,268,537,538,459,369,293,460,225,68],"ETL","Xray","Zephyr",{"aml":58,"stlc":58,"ci\u002Fcd":59,"sit\u002Fuat":58,"credit risk":58,"test design":58,"defect triage":58,"general ledger":58,"agentic testing":58,"backend testing":58,"test automation":58,"test management":58,"page object model":58,"ai-assisted testing":58,"data reconciliation":58,"quality engineering":58,"root cause analysis":58,"financial operations":58,"sanctions compliance":58,"regulatory compliance":58},[541,189,542,466,543,158,474,476,544,477,478,545,546,547,548,467,200,549,550,178],"Quality Engineering","Test Design","STLC","Credit Risk","Backend Testing","Data Reconciliation","Root Cause Analysis","Defect Triage","Agentic Testing","Page Object Model",{"id":552,"slug":553,"title":554,"raw_title":40,"is_featured":41,"company":555,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":556,"processed_country_iso_code_gmaps":558,"processed_home_office":49,"processed_salary_min":286,"processed_salary_max":287,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":559,"processed_employment_types":56,"processed_it_skills":560,"processed_it_skills_labels":561,"processed_job_expertise_skills":571,"processed_job_expertise_skills_labels":572,"max_cpc":92,"actual_cpc":92},75991,"senior-analyst-gfcd-technology-financial-crimes-innovation-mufg-global-service-private-limited","Senior Analyst, GFCD Technology, Financial Crimes Innovation",{"name":43,"slug":44,"logo_url":40},[557],"Bangalore",[48],[55],{"aws":59,"sql":132,"toad":132,"azure":59,"python":59,"keyence":132,"r studio":59,"ms access":132,"databricks":59,"aws bedrock":59,"azure open ai":59,"sql navigator":132,"microsoft power automate":59},[68,562,563,564,259,325,565,566,567,568,569,570,134],"R Studio","Microsoft Power Automate","Keyence","AWS Bedrock","DataBricks","Azure Open AI","MS Access","Toad","SQL Navigator",{"kyc":132,"sanctions":132,"agentic ai":59,"compliance":59,"data analysis":59,"generative ai":59,"case management":132,"cloud computing":59,"data warehousing":59,"machine learning":59,"vendor management":59,"database structures":59,"transaction monitoring":132,"financial crimes systems":132,"request for proposal (rfp)":59,"robotic process automation (rpa)":59,"business requirements documentation":59},[573,145,574,144,575,576,299,86,84,577,578,153,338,579,580,581,582],"Financial Crimes Systems","Sanctions","Case Management","Database Structures","Request for Proposal (RFP)","Business Requirements Documentation","Robotic Process Automation (RPA)","Generative AI","Agentic AI","Cloud Computing",{"id":584,"slug":585,"title":586,"raw_title":40,"is_featured":41,"company":587,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":591,"processed_country_iso_code_gmaps":592,"processed_home_office":49,"processed_salary_min":169,"processed_salary_max":287,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":593,"processed_employment_types":56,"processed_it_skills":594,"processed_it_skills_labels":595,"processed_job_expertise_skills":605,"processed_job_expertise_skills_labels":606,"max_cpc":92,"actual_cpc":92},51580,"python-developer-annet-technologies-mumbai-llp","Python Developer",{"name":588,"slug":589,"logo_url":590},"Annet Technologies (Mumbai) LLP","annet-technologies-mumbai-llp","https:\u002F\u002Fwww.apexgroup.com\u002Fmedia\u002Fl05krqrh\u002Fapex-logo.svg",[389],[48],[55],{"aws":132,"css":132,"sql":59,"html":132,"azure":132,"nosql":59,"numpy":59,"scipy":59,"django":59,"pandas":59,"python":58,"pyramid":59,"pytorch":59,"javascript":132,"google cloud":132},[68,596,597,598,323,599,600,103,134,601,602,603,604,259,325],"NumPy","Pandas","SciPy","HTML","CSS","NoSQL","Django","Pyramid","Google Cloud",{"debugging":59,"code review":59,"data science":59,"data engineering":58,"machine learning":59,"back-end development":58,"feature prioritization":59,"artificial intelligence":59,"software development lifecycle":58},[607,501,608,609,194,610,338,611,612],"Software Development Lifecycle","Back-end Development","Code Review","Feature Prioritization","Data Science","Artificial Intelligence",{"id":614,"slug":615,"title":616,"raw_title":40,"is_featured":41,"company":617,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":620,"processed_country_iso_code_gmaps":621,"processed_home_office":255,"processed_salary_min":50,"processed_salary_max":51,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":622,"processed_employment_types":56,"processed_it_skills":623,"processed_it_skills_labels":624,"processed_job_expertise_skills":648,"processed_job_expertise_skills_labels":649,"max_cpc":92,"actual_cpc":92},72400,"senior-engineer-javabigdata-f337-deutsche-india-private-limited-pune-branch","Senior Engineer Java\u002FBigdata",{"name":618,"slug":619,"logo_url":40},"F337 Deutsche India Private Limited, Pune Branch","f337-deutsche-india-private-limited-pune-branch",[355],[48],[55],{"css3":132,"hive":59,"java":58,"jira":59,"html5":132,"junit":59,"scala":132,"hadoop":59,"impala":132,"oracle":59,"pl\u002Fsql":59,"python":59,"spring":58,"tableau":132,"ai tools":59,"git flow":59,"teamcity":59,"spark sql":59,"angular.js":132,"javascript":132,"etl testing":59,"spark streaming":59,"business objects":132,"elastic mapreduce":132,"reactive patterns":132,"big data technologies":59,"continuous integration":59,"automated testing tools":59,"test driven development":59,"data frames and datasets":59},[225,68,625,626,627,628,629,630,631,632,633,634,635,636,469,295,637,638,639,640,641,103,642,643,369,221,644,645,646,647],"Scala","Spark Streaming","Spark SQL","Elastic MapReduce","Data frames and Datasets","Impala","Hive","Hadoop","Big Data technologies","Continuous Integration","TeamCity","JUnit","PL\u002FSQL","Reactive patterns","Test Driven Development","HTML5","CSS3","Angular.js","Business Objects","Git Flow","Automated testing tools","AI tools","Spring",{"aws":59,"etl":58,"gcp":59,"azure":59,"scrum":58,"devops":58,"oracle exadata":59,"system testing":59,"cloud platforms":59,"batch processing":59,"automated testing":58,"quality assurance":58,"stream processing":59,"performance tuning":58,"agile methodologies":58,"performance testing":59,"software versioning":59,"relational databases":58,"risk domain knowledge":59,"software architecture":58,"full software lifecycle":58,"test driven development":58,"white\u002Fblack box testing":59,"sales & trading knowledge":59,"treasury domain knowledge":59,"asset management knowledge":59,"domain knowledge in finance":59,"real-time report generation":59,"investment banking knowledge":59,"integration with downstream systems":59},[650,308,239,503,302,536,651,652,653,654,639,655,656,148,205,346,657,259,325,658,659,660,661,662,663,664,665,666,667,668],"Software Architecture","Relational Databases","Oracle Exadata","Quality Assurance","Software Versioning","Automated Testing","White\u002FBlack Box Testing","GCP","Stream Processing","Batch Processing","Real-time Report Generation","Integration with Downstream Systems","Full Software Lifecycle","Domain Knowledge in Finance","Treasury Domain Knowledge","Risk Domain Knowledge","Investment Banking Knowledge","Asset Management Knowledge","Sales & Trading Knowledge",{"id":670,"slug":671,"title":672,"raw_title":40,"is_featured":41,"company":673,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":674,"processed_country_iso_code_gmaps":675,"processed_home_office":49,"processed_salary_min":357,"processed_salary_max":676,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":677,"processed_employment_types":56,"processed_it_skills":678,"processed_it_skills_labels":679,"processed_job_expertise_skills":682,"processed_job_expertise_skills_labels":683,"max_cpc":92,"actual_cpc":92},49347,"model-developmentmarket-risk-mufg-global-service-private-limited","Model Development_Market Risk",{"name":43,"slug":44,"logo_url":40},[46],[48],4000000,[55],{"r":58,"c#":59,"c++":59,"vba":59,"excel":59,"python":58},[68,321,680,681,495,395],"Excel","VBA",{"rniv":59,"data analysis":58,"stress testing":58,"model validation":58,"probability theory":58,"derivatives pricing":58,"stochastic calculus":58,"value-at-risk (var)":58,"stochastic processes":58,"time-series analysis":58,"market risk modelling":58,"quantitative modelling":58,"counterparty risk modelling":58,"incremental risk charge (irc)":59},[684,685,686,687,688,403,689,690,691,692,693,153,694,695],"Market Risk Modelling","Value-at-Risk (VaR)","Incremental Risk Charge (IRC)","RNIV","Stress Testing","Quantitative Modelling","Time-series Analysis","Probability Theory","Stochastic Processes","Stochastic Calculus","Model Validation","Counterparty Risk Modelling",{"id":697,"slug":698,"title":699,"raw_title":40,"is_featured":41,"company":700,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":701,"processed_country_iso_code_gmaps":702,"processed_home_office":49,"processed_salary_min":357,"processed_salary_max":676,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":703,"processed_employment_types":56,"processed_it_skills":704,"processed_it_skills_labels":705,"processed_job_expertise_skills":706,"processed_job_expertise_skills_labels":707,"max_cpc":92,"actual_cpc":714},49344,"model-developmentcounterparty-credit-risk-mufg-global-service-private-limited","Model Development_CounterParty Credit Risk",{"name":43,"slug":44,"logo_url":40},[46],[48],[55],{"r":59,"c#":132,"c++":132,"vba":59,"excel":59,"python":58},[68,321,680,681,495,395],{"market risk":58,"model validation":58,"counterparty risk":58,"model development":58,"probability theory":58,"derivatives pricing":58,"stochastic calculus":58,"stochastic processes":58,"financial mathematics":58,"monte carlo simulation":59,"quantitative analytics":58},[708,709,694,710,711,403,691,692,693,712,713],"Quantitative Analytics","Model Development","Counterparty Risk","Market Risk","Monte Carlo Simulation","Financial Mathematics",0.3,{"industry":716,"employment_type":769,"expertise_skills":773,"it_skills":847,"salary_currency":914,"processed_working_hours":923},[717,721,725,729,733,737,741,745,748,751,754,757,760,763,766],{"key":718,"label":719,"count":720},"financial services","Financial Services",125,{"key":722,"label":723,"count":724},"financial markets infrastructure","Financial Markets Infrastructure",90,{"key":726,"label":727,"count":728},"data","Data",57,{"key":730,"label":731,"count":732},"insurance","Insurance",42,{"key":734,"label":735,"count":736},"data provider","Data Provider",33,{"key":738,"label":739,"count":740},"asset management","Asset Management",16,{"key":742,"label":743,"count":744},"banking","Banking",6,{"key":746,"label":747,"count":59},"alternative investments","Alternative Investments",{"key":749,"label":750,"count":132},"financial market infrastructure","Financial Market Infrastructure",{"key":752,"label":753,"count":132},"data services","Data Services",{"key":755,"label":756,"count":92},"fund administration","Fund Administration",{"key":758,"label":759,"count":92},"middle office","Middle Office",{"key":761,"label":762,"count":92},"investment","Investment",{"key":764,"label":765,"count":92},"investment banking","Investment Banking",{"key":767,"label":768,"count":92},"alternative asset management","Alternative Asset Management",[770],{"key":56,"label":771,"count":772},"PERMANENT",273,[774,778,780,783,786,789,791,794,798,800,803,807,810,814,817,820,823,825,829,832,835,838,840,843],{"key":775,"label":776,"slug":775,"count":777},"devops","Devops",36,{"key":779,"label":501,"slug":779,"count":777},"data-engineering",{"key":781,"label":547,"slug":781,"count":782},"root-cause-analysis",35,{"key":784,"label":153,"slug":784,"count":785},"data-analysis",34,{"key":787,"label":87,"slug":787,"count":788},"risk-management",32,{"key":790,"label":83,"slug":790,"count":788},"automation",{"key":792,"label":308,"slug":792,"count":793},"agile-methodologies",31,{"key":795,"label":796,"slug":795,"count":797},"incident-management","Incident Management",26,{"key":799,"label":338,"slug":799,"count":797},"machine-learning",{"key":801,"label":802,"slug":801,"count":797},"data-governance","Data Governance",{"key":804,"label":805,"slug":804,"count":806},"observability","Observability",25,{"key":808,"label":809,"slug":808,"count":806},"project-management","Project management",{"key":811,"label":812,"slug":811,"count":813},"cicd","Ci\u002FCd",23,{"key":815,"label":105,"slug":815,"count":816},"site-reliability-engineering",21,{"key":818,"label":819,"slug":818,"count":816},"data-modeling","Data Modeling",{"key":821,"label":302,"slug":821,"count":822},"performance-tuning",20,{"key":824,"label":335,"slug":824,"count":822},"prompt-engineering",{"key":826,"label":827,"slug":826,"count":828},"generative-ai","Generative Ai",19,{"key":830,"label":831,"slug":830,"count":828},"data-quality","Data Quality",{"key":833,"label":834,"slug":833,"count":828},"infrastructure-as-code","Infrastructure As Code",{"key":836,"label":275,"slug":836,"count":837},"incident-response",17,{"key":839,"label":445,"slug":839,"count":837},"cloud-migration",{"key":841,"label":842,"slug":841,"count":837},"process-improvement","Process Improvement",{"key":844,"label":845,"slug":844,"count":846},"documentation","Documentation",15,[848,850,853,857,860,862,865,869,872,875,878,881,884,887,890,892,895,898,900,902,905,907,909,912],{"key":849,"label":68,"slug":849,"count":34},"python",{"key":851,"label":134,"slug":851,"count":852},"sql",157,{"key":854,"label":855,"slug":854,"count":856},"aws","Aws",85,{"key":858,"label":260,"slug":858,"count":859},"terraform",68,{"key":811,"label":812,"slug":811,"count":861},67,{"key":863,"label":225,"slug":863,"count":864},"java",64,{"key":866,"label":867,"slug":866,"count":868},"ms-azure","MS Azure",55,{"key":870,"label":266,"slug":870,"count":871},"kubernetes",51,{"key":873,"label":177,"slug":873,"count":874},"git",50,{"key":876,"label":265,"slug":876,"count":877},"docker",47,{"key":879,"label":181,"slug":879,"count":880},"jenkins",45,{"key":882,"label":883,"slug":882,"count":782},"ms-powerbi","MS PowerBI",{"key":885,"label":886,"slug":885,"count":736},"gcp","Gcp",{"key":888,"label":889,"slug":888,"count":793},"powershell","Powershell",{"key":891,"label":268,"slug":891,"count":793},"jira",{"key":893,"label":894,"slug":893,"count":797},"ms-excel","MS Excel",{"key":896,"label":294,"slug":896,"count":897},"snowflake",24,{"key":899,"label":104,"slug":899,"count":897},"ansible",{"key":901,"label":369,"slug":901,"count":897},"tableau",{"key":903,"label":904,"slug":903,"count":897},"vba","Vba",{"key":906,"label":71,"slug":906,"count":813},"linux",{"key":908,"label":495,"slug":908,"count":813},"c",{"key":910,"label":911,"slug":910,"count":813},"datadog","Datadog",{"key":913,"label":365,"slug":913,"count":813},"databricks",[915,917,919,921],{"key":52,"label":52,"count":916},208,{"key":217,"label":217,"count":918},53,{"key":422,"label":422,"count":920},9,{"key":491,"label":491,"count":922},5,[924,925],{"key":55,"label":55,"count":34},{"key":926,"label":926,"count":92},"PART_TIME",{"total":928,"jobs":929},0,[]]