[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-python-in":3,"job-search-\u002Fen-in\u002Fjobs-by-skill\u002Fpython?page=7":33,"skill-page-filters-\u002Fen-in\u002Fjobs-by-skill\u002Fpython?page=7":805,"featured-jobs-\u002Fen-in\u002Fjobs-by-skill\u002Fpython?page=7":1013},{"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,[36,92,126,157,239,266,310,357,422,443,480,518,568,604,621,640,663,691,728,783],{"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":77,"processed_job_expertise_skills_labels":79,"max_cpc":91,"actual_cpc":91},75115,"trading-onboarding-specialist-refinitiv-india-shared-services-private-limited","Trading Onboarding Specialist",null,false,{"name":43,"slug":44,"logo_url":40},"Refinitiv India Shared Services Private Limited","refinitiv-india-shared-services-private-limited",[46],"Bengaluru",[48],"IN","hybrid",800000,1200000,"INR","estimated",[55],"FULL_TIME","permanent",{"c":58,"c++":58,"sql":58,"vpn":58,"java":58,"jira":58,"perl":58,"unix":58,"python":58,"tcp\u002Fip":58,"database":58,"blueworks":58,"confluence":58,"salesforce":58,"sharepoint":58,"fix protocol":59},2,4,[61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76],"FIX Protocol","C","C++","Java","Unix","SQL","Database","Perl","Python","SharePoint","Confluence","Blueworks","Jira","Salesforce","TCP\u002FIP","VPN",{"futures":78,"options":78,"equities":78,"certification":59,"oms\u002Fems systems":59,"client onboarding":59,"electronic trading":59,"project management":78,"knowledge management":78,"regulatory compliance":78,"financial markets knowledge":78},3,[80,81,82,83,84,85,86,87,88,89,90],"Electronic Trading","OMS\u002FEMS Systems","Equities","Futures","Options","Client Onboarding","Certification","Project Management","Financial Markets Knowledge","Regulatory Compliance","Knowledge Management",1,{"id":93,"slug":94,"title":95,"raw_title":40,"is_featured":41,"company":96,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":97,"processed_country_iso_code_gmaps":98,"processed_home_office":49,"processed_salary_min":99,"processed_salary_max":100,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":101,"processed_employment_types":56,"processed_it_skills":102,"processed_it_skills_labels":103,"processed_job_expertise_skills":107,"processed_job_expertise_skills_labels":108,"max_cpc":91,"actual_cpc":91},75129,"senior-content-specialist-refinitiv-india-shared-services-private-limited-4","Senior Content Specialist",{"name":43,"slug":44,"logo_url":40},[46],[48],1500000,2500000,[55],{"sql":78,"python":78,"ai agents":58,"workflow automation tools":58,"low-code development platforms":58},[69,66,104,105,106],"Low-code development platforms","AI agents","Workflow automation tools",{"data quality":78,"data modeling":78,"agile delivery":78,"data governance":78,"business analysis":59,"data transformation":59,"process improvement":59,"operational controls":78,"product-led delivery":78,"operating model design":59,"business transformation":59,"technology transformation":59,"operational transformation":59,"platform migration support":59,"requirements documentation":59,"business process documentation":59,"technology implementation support":59},[109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125],"Business transformation","Operational transformation","Data transformation","Technology transformation","Business analysis","Process improvement","Business process documentation","Requirements documentation","Operating model design","Technology implementation support","Platform migration support","Data modeling","Data governance","Data quality","Operational controls","Agile delivery","Product-led delivery",{"id":127,"slug":128,"title":129,"raw_title":40,"is_featured":41,"company":130,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":131,"processed_country_iso_code_gmaps":132,"processed_home_office":133,"processed_salary_min":134,"processed_salary_max":135,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":136,"processed_employment_types":56,"processed_it_skills":137,"processed_it_skills_labels":138,"processed_job_expertise_skills":142,"processed_job_expertise_skills_labels":143,"max_cpc":91,"actual_cpc":91},75136,"content-infrastructure-owner-refinitiv-india-shared-services-private-limited","Content Infrastructure Owner",{"name":43,"slug":44,"logo_url":40},[46],[48],"onsite",3000000,5000000,[55],{"sql":78,"python":78,"ai agents":58,"microsoft products":59,"lseg products\u002Ftools":59},[69,66,139,140,141],"AI Agents","Microsoft Products","LSEG Products\u002FTools",{"budgeting":78,"consulting":59,"product ownership":59,"process improvement":59,"stakeholder management":59,"third-party partnerships":78,"business case development":59,"content function knowledge":59,"kpi definition and reporting":59,"technology-led transformation":59,"data operations and management":59,"project and program leadership":59,"financial markets and operations expertise":59},[144,145,146,147,148,149,150,151,152,153,154,155,156],"Financial Markets and Operations Expertise","Data Operations and Management","Technology-Led Transformation","Product Ownership","Stakeholder Management","Business Case Development","Budgeting","Third-Party Partnerships","KPI Definition and Reporting","Process Improvement","Project and Program Leadership","Consulting","Content Function Knowledge",{"id":158,"slug":159,"title":160,"raw_title":40,"is_featured":41,"company":161,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":164,"processed_country_iso_code_gmaps":166,"processed_home_office":49,"processed_salary_min":134,"processed_salary_max":135,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":167,"processed_employment_types":56,"processed_it_skills":168,"processed_it_skills_labels":169,"processed_job_expertise_skills":202,"processed_job_expertise_skills_labels":203,"max_cpc":91,"actual_cpc":91},78805,"ind-lead-engineer-data-hartford-global-services-private-limited","IND Lead Engineer, Data",{"name":162,"slug":163,"logo_url":40},"Hartford Global Services Private Limited","hartford-global-services-private-limited",[165],"Hyderabad",[48],[55],{"a2a":59,"mcp":59,"rdf":59,"sql":59,"ci\u002Fcd":59,"neo4j":59,"nosql":59,"aws s3":59,"cypher":59,"docker":59,"python":59,"sparql":59,"aws ec2":59,"mongodb":59,"pytorch":78,"big data":59,"dynamodb":59,"langchain":59,"langgraph":59,"snowflake":59,"aws lambda":59,"kubernetes":59,"tensorflow":78,"aws kinesis":59,"apache kafka":59,"apache spark":59,"etl\u002Felt tools":59,"gcp vertex ai":59,"spanner graph":59,"amazon neptune":59,"aws opensearch":59,"graph databases":59,"vector databases":59,"cloud technologies (aws\u002Fgcp\u002Fazure)":59},[69,66,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201],"NoSQL","Snowflake","ETL\u002FELT tools","CI\u002FCD","Big Data","Cloud Technologies (AWS\u002FGCP\u002FAzure)","Apache Spark","Apache Kafka","AWS Kinesis","Docker","Kubernetes","PyTorch","TensorFlow","Vector Databases","Graph Databases","Neo4j","Amazon Neptune","MongoDB","DynamoDB","AWS Lambda","AWS S3","AWS EC2","LangChain","LangGraph","MCP","A2A","Cypher","SPARQL","RDF","AWS OpenSearch","GCP Vertex AI","Spanner Graph",{"ai\u002Fml":59,"devops":59,"alerting":59,"analytics":59,"data mesh":59,"data lakes":59,"monitoring":59,"redundancy":59,"data fabric":59,"data catalog":59,"data domains":59,"data lineage":59,"data quality":59,"scaled agile":59,"data products":59,"generative ai":59,"data governance":59,"fault tolerance":59,"data engineering":59,"data integration":59,"data warehousing":59,"knowledge graphs":59,"agentic solutions":59,"data architecture":59,"disaster recovery":59,"semantic modeling":59,"prompt engineering":59,"incident management":59,"business intelligence":59,"reliability engineering":59,"real-time data streaming":59,"synthetic data generation":59,"insurance domain knowledge":78,"unstructured data processing":59,"retrieval-augmented generation (rag)":59},[204,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238],"Data Engineering","Data Architecture","Data Warehousing","Data Integration","Data Lakes","Data Domains","Data Products","Business Intelligence","Data Governance","Data Quality","Data Lineage","Data Catalog","Generative AI","Retrieval-Augmented Generation (RAG)","Prompt Engineering","Semantic Modeling","Knowledge Graphs","Synthetic Data Generation","Agentic Solutions","Scaled Agile","DevOps","Reliability Engineering","Disaster Recovery","Fault Tolerance","Redundancy","Monitoring","Alerting","Incident Management","Data Mesh","Data Fabric","Unstructured Data Processing","Real-Time Data Streaming","AI\u002FML","Analytics","Insurance Domain Knowledge",{"id":240,"slug":241,"title":242,"raw_title":40,"is_featured":41,"company":243,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":246,"processed_country_iso_code_gmaps":248,"processed_home_office":49,"processed_salary_min":99,"processed_salary_max":100,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":249,"processed_employment_types":56,"processed_it_skills":250,"processed_it_skills_labels":251,"processed_job_expertise_skills":256,"processed_job_expertise_skills_labels":257,"max_cpc":91,"actual_cpc":91},72357,"databusiness-analyst-credit-risk-change-f337-deutsche-india-private-limited-pune-branch","Data\u002FBusiness Analyst, Credit Risk Change",{"name":244,"slug":245,"logo_url":40},"F337 Deutsche India Private Limited, Pune Branch","f337-deutsche-india-private-limited-pune-branch",[247],"Pune",[48],[55],{"sql":78,"jira":58,"excel":78,"access":58,"python":58,"ai tools":58,"confluence":58},[66,69,252,253,71,254,255],"Excel","Access","JIRA","AI Tools",{"data analysis":59,"process design":78,"data management":78,"functional analysis":59,"root cause analysis":78,"credit risk management":78,"business process analysis":59,"regulatory change management":78},[258,259,260,261,262,263,264,265],"Credit Risk Management","Business Process Analysis","Functional Analysis","Data Analysis","Data Management","Root Cause Analysis","Process Design","Regulatory Change Management",{"id":267,"slug":268,"title":269,"raw_title":40,"is_featured":41,"company":270,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":273,"processed_country_iso_code_gmaps":274,"processed_home_office":133,"processed_salary_min":275,"processed_salary_max":276,"processed_salary_currency":277,"processed_salary_source":53,"processed_working_hours":278,"processed_employment_types":56,"processed_it_skills":279,"processed_it_skills_labels":280,"processed_job_expertise_skills":299,"processed_job_expertise_skills_labels":300,"max_cpc":91,"actual_cpc":91},88256,"senior-associate-lead-engineer-tiaa-global-capabilities-private-limited","Senior Associate - Lead Engineer",{"name":271,"slug":272,"logo_url":40},"TIAA Global Capabilities Private 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