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management":29},[119,259,510,249,302,511,512,513,514],"Process Mapping","FMEA","QMS Tools","Deming Principles","Records Management",{"id":516,"slug":517,"title":518,"raw_title":10,"is_featured":11,"company":519,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":522,"processed_country_iso_code_gmaps":523,"processed_home_office":19,"processed_salary_min":20,"processed_salary_max":21,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":524,"processed_employment_types":26,"processed_it_skills":525,"processed_it_skills_labels":526,"processed_job_expertise_skills":529,"processed_job_expertise_skills_labels":530,"max_cpc":63,"actual_cpc":63},72196,"business-management-analyst-as-9608-deutsche-india-private-limited-mumbai-branch","Business Management Analyst, AS",{"name":520,"slug":521,"logo_url":10},"9608 Deutsche India Private Limited, Mumbai Branch","9608-deutsche-india-private-limited-mumbai-branch",[228],[18],[25],{"css":28,"sql":29,"vba":28,"html":28,"excel":29,"python":29,"tableau":29,"power bi":29,"scripting":28,"ai-powered productivity tools (e.g., copilot, genai platforms)":28},[35,36,341,340,527,42,280,159,237,528],"Scripting","AI-powered productivity tools (e.g., Copilot, GenAI platforms)",{"data science":29,"documentation":28,"user training":28,"data modelling":29,"benefit analysis":29,"machine learning":29,"process analysis":29,"process redesign":29,"knowledge sharing":28,"project reporting":28,"advanced analytics":29,"capability mapping":29,"workflow automation":29,"predictive analytics":29,"continuous improvement":28,"artificial intelligence":29,"business case development":29,"intelligent decision-support solutions":29,"delivery of complex change or transformation initiatives":29},[531,403,532,533,534,535,536,537,538,539,540,541,542,543,544,545,546,547,548],"Artificial Intelligence","Data Science","Advanced Analytics","Data modelling","Predictive analytics","Workflow automation","Intelligent decision-support solutions","Process analysis","Process redesign","Capability mapping","Delivery of complex change or transformation initiatives","Business case development","Benefit analysis","Project reporting","Documentation","User training","Knowledge sharing","Continuous improvement",{"id":550,"slug":551,"title":552,"raw_title":10,"is_featured":11,"company":553,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":556,"processed_country_iso_code_gmaps":557,"processed_home_office":335,"processed_salary_min":230,"processed_salary_max":558,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":559,"processed_employment_types":26,"processed_it_skills":560,"processed_it_skills_labels":561,"processed_job_expertise_skills":577,"processed_job_expertise_skills_labels":578,"max_cpc":63,"actual_cpc":63},69152,"vice-president-corporate-technology-ares-operations-india-private-limited","Vice President, Corporate Technology",{"name":554,"slug":555,"logo_url":10},"Ares Operations India Private Limited","ares-operations-india-private-limited",[228],[18],12000000,[25],{"c#":29,"sql":29,".net":29,"java":29,"ci\u002Fcd":29,"react":29,"python":29,"spring":29,"angular":29,"node.js":29,"rest apis":29,"containers":28,"typescript":29,"data analysis":29,"data modeling":29,"cloud computing":29,"version control":29,"agentic workflows":29,"automated testing":29,"batch integrations":29,"ai solution patterns":29,"large language models":29,"ai-assisted engineering":29,"event\u002Fmessaging patterns":29,"application observability":29,"retrieval-augmented generation":29},[183,562,184,343,35,563,185,564,339,36,565,39,292,566,567,568,569,570,571,572,296,573,574,169,575,576],"Spring","Node.js","React","REST APIs","Containers","Application Observability","AI Solution Patterns","Large Language Models","Retrieval-Augmented Generation","Agentic Workflows","AI-Assisted Engineering","Version Control","Data Modeling","Event\u002FMessaging Patterns","Batch Integrations",{"privacy":29,"resiliency":29,"cybersecurity":29,"cloud migration":29,"data governance":29,"sdlc management":29,"talent strategy":29,"process maturity":29,"records retention":29,"vendor management":29,"financial reporting":28,"incident management":29,"root cause analysis":29,"knowledge management":29,"legacy modernization":29,"segregation of duties":28,"software architecture":29,"sox\u002Finternal controls":28,"operational excellence":29,"responsible ai standards":29,"technical debt reduction":29,"ai and automation adoption":29,"enterprise risk management":28,"erp systems (oracle, workday)":28,"identity and access management":29,"engineering culture development":29,"enterprise application delivery":29,"full-stack software engineering":29,"people and organizational leadership":29},[579,580,581,582,350,583,584,585,586,587,588,589,61,62,590,591,466,592,593,594,595,596,119,597,598,599,600,601,602],"Full-Stack Software Engineering","Enterprise Application Delivery","People and Organizational Leadership","AI and Automation Adoption","SDLC Management","Vendor Management","Knowledge Management","Process Maturity","Talent Strategy","Engineering Culture Development","Operational Excellence","Technical Debt Reduction","Legacy Modernization","ERP Systems (Oracle, Workday)","SOX\u002FInternal Controls","Financial Reporting","Segregation of Duties","Enterprise Risk Management","Cybersecurity","Identity and Access Management","Privacy","Records Retention","Resiliency","Responsible AI Standards",{"id":604,"slug":605,"title":606,"raw_title":10,"is_featured":11,"company":607,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":608,"processed_country_iso_code_gmaps":609,"processed_home_office":19,"processed_salary_min":74,"processed_salary_max":75,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":610,"processed_employment_types":26,"processed_it_skills":611,"processed_it_skills_labels":612,"processed_job_expertise_skills":613,"processed_job_expertise_skills_labels":614,"max_cpc":63,"actual_cpc":63},72198,"business-management-analyst-avp-9608-deutsche-india-private-limited-mumbai-branch","Business Management Analyst, AVP",{"name":520,"slug":521,"logo_url":10},[228],[18],[25],{"css":28,"sql":29,"vba":28,"html":28,"excel":29,"python":29,"tableau":29,"power bi":29,"scripting":28,"ai-powered productivity tools (e.g., copilot, genai platforms)":28},[35,36,341,340,527,42,280,159,237,528],{"pmp":30,"agile":30,"scrum":30,"controls":28,"data science":29,"data modelling":28,"lean six sigma":30,"process mining":30,"banking products":28,"machine learning":29,"operational risk":28,"process analysis":29,"process redesign":29,"project execution":29,"advanced analytics":29,"capability mapping":28,"automation delivery":29,"workflow automation":28,"predictive analytics":28,"operating model design":29,"private bank processes":28,"artificial intelligence":29,"transformation initiatives":29,"intelligent decision-support solutions":28},[531,403,532,533,615,534,535,536,537,538,616,539,540,617,618,619,620,621,622,623,284,285,624,625],"Project execution","Operating model design","Automation delivery","Transformation initiatives","Banking products","Private Bank processes","Operational risk","Controls","Lean Six Sigma","PMP","Process Mining",{"id":627,"slug":628,"title":629,"raw_title":10,"is_featured":11,"company":630,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":631,"processed_country_iso_code_gmaps":632,"processed_home_office":335,"processed_salary_min":633,"processed_salary_max":634,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":635,"processed_employment_types":26,"processed_it_skills":636,"processed_it_skills_labels":637,"processed_job_expertise_skills":639,"processed_job_expertise_skills_labels":640,"max_cpc":63,"actual_cpc":63},60238,"manager-methodology-amp-assumption-mampa-actuarial-policyholder-data-team-mampg-global-services","Manager - Methodology & Assumption (M&A) Actuarial Policyholder Data Team",{"name":225,"slug":226,"logo_url":10},[228],[18],1200000,1800000,[25],{"sql":28,"excel":29,"spark":30,"python":28,"pyspark":30,"power bi":28,"databricks":30},[159,42,35,36,32,273,638],"PySpark",{"reporting":28,"dashboarding":28,"data quality":28,"data analysis":29,"documentation":28,"data governance":28,"data validation":28,"uk life insurance":30,"financial services":30},[169,119,120,641,545,642,643,644,645],"Data Validation","Reporting","Dashboarding","UK Life Insurance","Financial Services",{"id":647,"slug":648,"title":649,"raw_title":10,"is_featured":11,"company":650,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":651,"processed_country_iso_code_gmaps":652,"processed_home_office":335,"processed_salary_min":74,"processed_salary_max":75,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":653,"processed_employment_types":26,"processed_it_skills":654,"processed_it_skills_labels":655,"processed_job_expertise_skills":657,"processed_job_expertise_skills_labels":658,"max_cpc":63,"actual_cpc":63},60250,"avp-business-analyst-investment-platform-mampg-global-services","AVP - Business Analyst – Investment Platform",{"name":225,"slug":226,"logo_url":10},[152],[18],[25],{"sql":30,"jira":28,"aladdin":28,"data analysis":28},[235,656,169,36],"Jira",{"risk management":28,"business analysis":29,"change management":28,"project management":28,"requirements gathering":29,"market data integration":28,"order management systems":28,"business case development":28,"portfolio management systems":28},[659,377,660,260,661,662,663,250,664],"Business Analysis","Business Case Development","Change Management","Portfolio Management Systems","Order Management Systems","Market Data Integration",{"id":666,"slug":667,"title":668,"raw_title":10,"is_featured":11,"company":669,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":670,"processed_country_iso_code_gmaps":671,"processed_home_office":335,"processed_salary_min":672,"processed_salary_max":633,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":673,"processed_employment_types":26,"processed_it_skills":674,"processed_it_skills_labels":675,"processed_job_expertise_skills":676,"processed_job_expertise_skills_labels":677,"max_cpc":63,"actual_cpc":63},75322,"senior-analyst-actuarial-methodology-assumption-ma-actuarial-policyholder-data-team-mg-global-services","Senior Analyst - Actuarial - Methodology & Assumption (M&A) Actuarial Policyholder Data Team",{"name":225,"slug":226,"logo_url":10},[228],[18],800000,[25],{"sql":28,"excel":29,"python":28,"power bi":28,"databricks":30},[36,35,159,42,32],{"ifrs":30,"solvency ii":30,"documentation":29,"data validation":29,"actuarial science":29,"assumption setting":28,"data transformation":29,"experience analysis":28,"numerical reasoning":29,"statistical analysis":29},[678,679,641,680,681,545,682,683,684,685],"Actuarial Science","Data Transformation","Experience Analysis","Assumption Setting","Statistical Analysis","Numerical Reasoning","Solvency II","IFRS",{"id":687,"slug":688,"title":689,"raw_title":10,"is_featured":11,"company":690,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":691,"processed_country_iso_code_gmaps":692,"processed_home_office":335,"processed_salary_min":693,"processed_salary_max":154,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":694,"processed_employment_types":26,"processed_it_skills":695,"processed_it_skills_labels":696,"processed_job_expertise_skills":699,"processed_job_expertise_skills_labels":700,"max_cpc":63,"actual_cpc":712},60246,"senior-analyst-mampg-global-services","Senior Analyst",{"name":225,"slug":226,"logo_url":10},[228],[18],1000000,[25],{"sql":30,"vba":28,"ssis":30,"excel":28,"python":28,"ms office":28},[237,35,697,36,159,698],"SSIS","MS Office",{"ifrs 17":29,"governance":28,"audit trail":28,"solvency ii":29,"p&l analysis":28,"data analysis":28,"documentation":28,"model testing":29,"model development":29,"actuarial modelling":29,"financial reporting":28,"process improvement":28,"balance sheet analysis":28,"life insurance products":29,"actuarial software (moses, rafm, prophet, ggy axis, mg alpha)":28},[701,702,703,704,684,705,594,706,707,169,708,545,709,710,711],"Actuarial Modelling","Model Development","Model Testing","IFRS 17","Life Insurance Products","Balance Sheet Analysis","P&L Analysis","Process Improvement","Governance","Audit Trail","Actuarial Software (MoSes, RAFM, Prophet, GGY Axis, MG Alpha)",0.3,{"image_path":714,"content_de":715,"content_en":728,"composite_key":741,"last_updated":742},"\u002Fimages\u002Fskill\u002Fsql.webp",{"tab1":716,"tab2":719,"tab3":722,"tab4":725},{"title":717,"content":718},"Bedeutung & Relevanz","SQL (Structured Query Language) spielt eine entscheidende Rolle in der indischen Finanzbranche, da es die Grundlage für effizientes Datenmanagement und -analyse bildet. In einem Land mit einem schnell wachsenden Finanzsektor wie [Indien](\u002Fsearch) ermöglicht SQL die Verarbeitung großer Datenmengen, die für [Finanzanalyse](\u002Fjobs-by-expertise\u002Ffinancial-analysis), [Risikomanagement](\u002Fjobs-by-expertise\u002Frisk-management) und [Portfoliomanagement](\u002Fjobs-by-expertise\u002Fportfolio-management) unerlässlich sind. Unternehmen nutzen SQL, um Finanzdatenbanken zu verwalten, Transaktionen zu überwachen und Berichte für Compliance-Zwecke zu generieren. Die Fähigkeit, komplexe Abfragen zu erstellen, ist besonders wertvoll für die Integration von Marktdaten aus Plattformen wie Bloomberg und Refinitiv, die in der indischen Finanzwelt weit verbreitet sind. Mit der zunehmenden Digitalisierung gewinnt SQL an Bedeutung, um datengesteuerte Entscheidungen in Bereichen wie [Asset Management](\u002Fjobs-by-industry\u002Fasset-management) und [Banking](\u002Fjobs-by-industry\u002Fbanking) zu unterstützen. Es fördert die Effizienz durch Automatisierung von Prozessen wie Datenvalidierung und Berichterstattung, was in einem wettbewerbsintensiven Markt wie Indien einen strategischen Vorteil bietet.",{"title":720,"content":721},"Top-Branchen & Standorte","In [Indien](\u002Fsearch) ist SQL in mehreren Schlüsselbranchen hochgefragt, darunter [Finanzdienstleistungen](\u002Fjobs-by-industry\u002Ffinancial-services), [Versicherungen](\u002Fjobs-by-industry\u002Finsurance) und [Asset Management](\u002Fjobs-by-industry\u002Fasset-management). Besonders in Städten wie Bengaluru, Pune und Mumbai, die als IT- und Finanzzentren gelten, wird SQL für Aufgaben wie Datenintegration, Client Reporting und Systemmigration eingesetzt. In Bengaluru, bekannt für seine Tech-Startups, nutzen Unternehmen SQL für [Finanzmodellierung](\u002Fjobs-by-expertise\u002Ffinancial-modeling) und die Verwaltung von [Finanzmärkten](\u002Fjobs-by-expertise\u002Ffinancial-markets). Pune hingegen konzentriert sich auf [Prozessverbesserung](\u002Fjobs-by-expertise\u002Fprocess-improvement) in der Finanzbranche, wobei SQL zur Optimierung von Datenworkflows beiträgt. Mumbai, das Finanzkapital Indiens, setzt SQL intensiv in [Banking](\u002Fjobs-by-industry\u002Fbanking) und [Vermögensverwaltung](\u002Fjobs-by-industry\u002Fasset-management) ein, um Investmentdaten zu analysieren und regulatorische Anforderungen zu erfüllen. Diese Standorte bieten zahlreiche Möglichkeiten für Fachkräfte, die SQL in dynamischen Umgebungen anwenden möchten.",{"title":723,"content":724},"Gefragte Skills & Arbeitgeber","Führende Unternehmen in [Indien](\u002Fsearch) wie Apex Fund Services LLP, Allianz Insurance und CO_ANT-MUM Annet Technologies Mumbai LLP suchen nach SQL-Experten, um Schlüsselexpertisen wie Fund Administration, Application Support und Data Integration zu unterstützen. SQL wird hier für [Projektmanagement](\u002Fjobs-by-expertise\u002Fproject-management), Data Validation und die Verwaltung von Financial Instruments eingesetzt. Beispielsweise nutzt Apex Fund Services LLP SQL für NAV\u002FGAV-Berechnungen und Fund Reconciliation, während Allianz Insurance es für Risk Assessment und Compliance Monitoring in Versicherungsprodukten verwendet. Zusätzlich sind Kenntnisse in Agile Methodologies und Business Requirements Analysis gefragt, um SQL-basierte Lösungen in Systemen wie Geneva und Investran zu implementieren. Diese Arbeitgeber schätzen SQL-Fähigkeiten für die Automatisierung von Prozessen wie Fee Calculations und Break Resolution, was die Effizienz in der indischen Finanzlandschaft steigert.",{"title":726,"content":727},"Karriere & Entwicklung","Karrierewege mit SQL in [Indien](\u002Fsearch) reichen von Data Analysts bis zu IT-Spezialisten in der Finanzbranche. Um SQL zu erlernen, empfehlen sich Online-Kurse, praktische Projekte mit Tools wie [MS Excel](\u002Fjobs-by-skill\u002Fms-excel) und [Python](\u002Fjobs-by-skill\u002Fpython) sowie Zertifizierungen in Datenbankmanagement. Verwandte IT-Skills wie ETL Tools, REST API und Cloud-Konfiguration mit AWS oder Azure ergänzen SQL-Kenntnisse und eröffnen Rollen in Data Analytics oder DevOps. In Indien können Fachkräfte SQL mit [Generative AI](\u002Fjobs-by-skill\u002Fgenerative-ai) kombinieren, um fortschrittliche Datenlösungen zu entwickeln, z.B. für [Prozessverbesserung](\u002Fjobs-by-expertise\u002Fprocess-improvement) oder System Integration. Typische Entwicklungsmöglichkeiten umfassen den Aufstieg zum Senior Data Engineer oder Project Manager, wobei Erfahrung in Agile Methodology und Tools wie Jira hilfreich ist. Durch kontinuierliches Lernen und Anwendung in realen Szenarien, wie Data Migration oder Financial Modeling, können Berufstätige in Indien ihre Karriere vorantreiben und von der hohen Nachfrage nach SQL-Experten profitieren.",{"tab1":729,"tab2":732,"tab3":735,"tab4":738},{"title":730,"content":731},"Strategic Importance","SQL (Structured Query Language) holds immense strategic importance in India's rapidly growing financial sector, serving as the backbone for data management, analysis, and decision-making processes. In a country where financial institutions handle massive volumes of transactional data daily, SQL enables efficient querying, manipulation, and extraction of critical information from complex databases. This skill is particularly crucial for roles involving [Financial Analysis](\u002Fjobs-by-expertise\u002Ffinancial-analysis), [Risk Management](\u002Fjobs-by-expertise\u002Frisk-management), and [Portfolio Management](\u002Fjobs-by-expertise\u002Fportfolio-management), where accurate data retrieval directly impacts investment strategies and regulatory compliance.\n\nWith India's financial services industry embracing digital transformation, SQL proficiency allows professionals to integrate data from multiple sources, perform [Data Validation](\u002Fjobs-by-expertise\u002Fdata-validation), and support [Process Automation](\u002Fjobs-by-expertise\u002Fprocess-improvement) initiatives. The ability to write optimized SQL queries is essential for generating client reports, calculating NAV\u002FGAV for funds, and managing [Financial Markets](\u002Fjobs-by-expertise\u002Ffinancial-markets) data. As Indian companies increasingly adopt cloud-based solutions and advanced analytics, SQL remains a foundational skill that bridges traditional database management with modern [Data Analytics](\u002Fjobs-by-expertise\u002Fdata-analytics) requirements.",{"title":733,"content":734},"Top Industries & Locations","SQL expertise is in high demand across India's key financial hubs and specialized sectors. In major metropolitan centers like Bengaluru, Pune, and Mumbai, financial institutions actively seek SQL professionals to support their expanding operations. These cities host numerous [Banking](\u002Fjobs-by-industry\u002Fbanking) institutions, [Asset Management](\u002Fjobs-by-industry\u002Fasset-management) firms, and insurance companies that rely heavily on database management systems.\n\nThe [Financial Services](\u002Fjobs-by-industry\u002Ffinancial-services) sector, particularly fund administration and insurance services, represents the primary demand driver for SQL skills in India. Companies specializing in [Fund Administration](\u002Fjobs-by-industry\u002Ffund-administration) require SQL for managing investment data, performing reconciliations, and supporting [Financial Modeling](\u002Fjobs-by-expertise\u002Ffinancial-modeling) activities. The insurance industry utilizes SQL for policy administration, claims processing, and risk assessment. Additionally, the growing [Private Equity](\u002Fjobs-by-industry\u002Fprivate-equity) and real estate investment sectors in India depend on SQL for portfolio tracking, performance analysis, and regulatory reporting requirements.",{"title":736,"content":737},"In-Demand Skills & Employers","Leading financial institutions in India consistently seek professionals with SQL expertise combined with complementary technical and domain knowledge. Top employers like Apex Fund Services LLP, Allianz Insurance, and CO_ANT-MUM Annet Technologies Mumbai LLP require SQL specialists for roles involving [Data Integration](\u002Fjobs-by-expertise\u002Fdata-integration), [Client Reporting](\u002Fjobs-by-expertise\u002Fclient-reporting), and [System Migration](\u002Fjobs-by-expertise\u002Fsystem-migration).\n\nThese companies value SQL professionals who can demonstrate proficiency in [Financial Data Analysis](\u002Fjobs-by-expertise\u002Ffinancial-analysis), understand [Financial Instruments](\u002Fjobs-by-expertise\u002Ffinancial-instruments), and support [Process Improvement](\u002Fjobs-by-expertise\u002Fprocess-improvement) initiatives. The most sought-after expertise includes [Reference Data Management](\u002Fjobs-by-expertise\u002Freference-data-management), [Corporate Actions](\u002Fjobs-by-expertise\u002Fcorporate-actions) processing, and [Fund Reconciliation](\u002Fjobs-by-expertise\u002Ffund-reconciliation). SQL is particularly valuable when combined with knowledge of specialized financial systems like Geneva, Investran, and various [Accounting Systems](\u002Fjobs-by-industry\u002Faccounting). Professionals who can leverage SQL for [Automated Matching](\u002Fjobs-by-expertise\u002Fautomation-solutions) and [Exception Handling](\u002Fjobs-by-expertise\u002Fexception-handling) in financial operations are especially prized in the Indian market.",{"title":739,"content":740},"Career & Development","SQL opens diverse career pathways in India's financial technology landscape, ranging from database administration to advanced analytics roles. Entry-level professionals typically start as SQL Developers or Data Analysts, progressing to roles like Database Architect, Business Intelligence Analyst, or [Financial Modeling](\u002Fjobs-by-expertise\u002Ffinancial-modeling) Specialist. The skill serves as a foundation for transitioning into [Data Analytics](\u002Fjobs-by-expertise\u002Fdata-analytics), [Risk Assessment](\u002Fjobs-by-expertise\u002Frisk-assessment), and [Project Management](\u002Fjobs-by-expertise\u002Fproject-management) positions.\n\nTo enhance SQL capabilities, professionals should complement their skills with [Python](\u002Fjobs-by-skill\u002Fpython) for advanced data manipulation, [MS Excel](\u002Fjobs-by-skill\u002Fms-excel) for reporting, and ETL tools for data integration. Learning database management systems like Microsoft SQL Server and understanding [Agile Methodologies](\u002Fjobs-by-expertise\u002Fagile-methodologies) for development processes significantly boosts career prospects. Indian professionals can benefit from mastering [Data Visualization](\u002Fjobs-by-expertise\u002Fdata-visualization) tools like Power BI alongside SQL to create comprehensive business intelligence solutions. Continuous learning in areas like [Cloud Configuration](\u002Fjobs-by-skill\u002Fcloud-configuration) and [API Development](\u002Fjobs-by-skill\u002Fapi-development) ensures SQL remains relevant in India's evolving digital financial ecosystem, while certifications in database management and financial systems provide competitive advantages in the job market.","skill:sql:in","2026-08-17T09:01:39.116970+02:00",{"industry":744,"employment_type":787,"expertise_skills":791,"it_skills":855,"salary_currency":925,"processed_working_hours":937},[745,748,752,756,760,764,768,772,775,778,781,784],{"key":746,"label":645,"count":747},"financial services",111,{"key":749,"label":750,"count":751},"financial markets infrastructure","Financial Markets Infrastructure",63,{"key":753,"label":754,"count":755},"data","Data",41,{"key":757,"label":758,"count":759},"insurance","Insurance",40,{"key":761,"label":762,"count":763},"data provider","Data Provider",21,{"key":765,"label":766,"count":767},"asset 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