[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-search-\u002Fen-sg\u002Fjobs-by-skill\u002Fpython?page=6":3,"seo-content-skill-python-sg":636,"skill-page-filters-\u002Fen-sg\u002Fjobs-by-skill\u002Fpython?page=6":666,"featured-jobs-\u002Fen-sg\u002Fjobs-by-skill\u002Fpython?page=6":845},{"total":4,"jobs":5},149,[6,43,78,126,161,188,207,229,251,288,309,354,387,412,460,484,512,550,568,589],{"id":7,"slug":8,"title":9,"raw_title":10,"is_featured":11,"company":12,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":15,"processed_country_iso_code_gmaps":16,"processed_home_office":18,"processed_salary_min":19,"processed_salary_max":20,"processed_salary_currency":21,"processed_salary_source":22,"processed_working_hours":23,"processed_employment_types":25,"processed_it_skills":26,"processed_it_skills_labels":29,"processed_job_expertise_skills":34,"processed_job_expertise_skills_labels":35,"max_cpc":42,"actual_cpc":42},62383,"group-data-office-ai-product-builder-vp-ocbc-bank","Group Data Office - AI Product Builder (VP)",null,false,{"name":13,"slug":14,"logo_url":10},"OCBC Bank","ocbc-bank",[],[17],"SG","onsite",120000,180000,"SGD","estimated",[24],"FULL_TIME","permanent",{"apis":27,"python":28,"ai\u002Fml systems":28,"javascript\u002Ftypescript":27},3,4,[30,31,32,33],"Python","JavaScript\u002FTypeScript","APIs","AI\u002FML systems",{"applied ai":28,"data science":28,"rapid prototyping":28,"product management":28,"roadmap development":28,"stakeholder management":28},[36,37,38,39,40,41],"Product Management","Data Science","Applied AI","Rapid Prototyping","Roadmap Development","Stakeholder Management",1,{"id":44,"slug":45,"title":46,"raw_title":10,"is_featured":11,"company":47,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":50,"processed_country_iso_code_gmaps":52,"processed_home_office":18,"processed_salary_min":19,"processed_salary_max":20,"processed_salary_currency":53,"processed_salary_source":22,"processed_working_hours":54,"processed_employment_types":25,"processed_it_skills":55,"processed_it_skills_labels":56,"processed_job_expertise_skills":61,"processed_job_expertise_skills_labels":62,"max_cpc":42,"actual_cpc":42},60026,"business-consultant-risk-intelligence-sgp001-refinitiv-asia-pte-ltd","Business Consultant - Risk Intelligence",{"name":48,"slug":49,"logo_url":10},"Refinitiv Asia Pte. Ltd.","refinitiv-asia-pte-ltd",[51],"Singapore",[17],"USD",[24],{"java":27,"python":28,"data science":28,"api technologies":28,"machine learning":27,"cloud platforms (aws, azure)":27},[30,57,58,59,37,60],"Java","API Technologies","Cloud Platforms (AWS, Azure)","Machine Learning",{"data modeling":28,"due diligence":28,"sales support":28,"data enrichment":28,"risk intelligence":28,"data transformation":28,"screening solutions":28,"solution consulting":28,"sanctions compliance":28,"solution integration":28,"watchlist management":27,"adverse media analytics":27,"anti-money laundering (aml)":28,"third-party risk management":28,"regulatory knowledge (ofac, fincen, fatf, mas, hkma, austrac)":28},[63,64,65,66,67,68,69,70,71,72,73,74,75,76,77],"Anti-Money Laundering (AML)","Sanctions Compliance","Third-Party Risk Management","Data Modeling","Data Transformation","Data Enrichment","Solution Integration","Sales Support","Solution Consulting","Regulatory Knowledge (OFAC, FinCEN, FATF, MAS, HKMA, AUSTRAC)","Risk Intelligence","Due Diligence","Screening Solutions","Watchlist Management","Adverse Media Analytics",{"id":79,"slug":80,"title":81,"raw_title":10,"is_featured":11,"company":82,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":85,"processed_country_iso_code_gmaps":86,"processed_home_office":87,"processed_salary_min":88,"processed_salary_max":89,"processed_salary_currency":21,"processed_salary_source":22,"processed_working_hours":90,"processed_employment_types":25,"processed_it_skills":91,"processed_it_skills_labels":92,"processed_job_expertise_skills":103,"processed_job_expertise_skills_labels":104,"max_cpc":42,"actual_cpc":42},83137,"technology-dap-middleware-platform-engineer-avp-0780-deutsche-bank-aktiengesellschaft-asia-pacific-head-office","Technology – DAP Middleware Platform Engineer – AVP",{"name":83,"slug":84,"logo_url":10},"0780 Deutsche Bank Aktiengesellschaft, Asia Pacific Head Office","0780-deutsche-bank-aktiengesellschaft-asia-pacific-head-office",[51],[17],"hybrid",100000,150000,[24],{"git":27,"perl":28,"jboss":27,"oracle":27,"python":28,"splunk":28,"tomcat":27,"mariadb":27,"ai tools":27,"weblogic":27,"mojolicious":27},[93,30,94,95,96,97,98,99,100,101,102],"Splunk","Perl","Mojolicious","MariaDB","Oracle","Git","Tomcat","JBoss","WebLogic","AI Tools",{"automation":28,"log analytics":28,"sla management":27,"troubleshooting":28,"change management":28,"cloud environments":27,"node bootstrapping":27,"problem management":28,"production support":28,"storage validation":27,"firewall validation":27,"incident management":28,"knowledge management":28,"middleware platforms":28,"migration activities":27,"container technologies":27,"on-premises environments":27,"platform readiness checks":27,"service request management":28,"platform as a service (paas)":28,"application release lifecycle":27},[105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125],"Middleware Platforms","Log Analytics","Automation","Production Support","Incident Management","Change Management","Problem Management","Service Request Management","Knowledge Management","Platform as a Service (PaaS)","Cloud Environments","On-premises Environments","Container Technologies","Application Release Lifecycle","Troubleshooting","Migration Activities","Storage Validation","Node Bootstrapping","Firewall Validation","Platform Readiness Checks","SLA Management",{"id":127,"slug":128,"title":129,"raw_title":10,"is_featured":11,"company":130,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":131,"processed_country_iso_code_gmaps":132,"processed_home_office":18,"processed_salary_min":133,"processed_salary_max":134,"processed_salary_currency":21,"processed_salary_source":22,"processed_working_hours":135,"processed_employment_types":25,"processed_it_skills":136,"processed_it_skills_labels":137,"processed_job_expertise_skills":148,"processed_job_expertise_skills_labels":149,"max_cpc":42,"actual_cpc":42},62514,"senior-soc-engineer-gts-command-centre-ocbc-bank","Senior SOC Engineer (GTS - Command Centre)",{"name":13,"slug":14,"logo_url":10},[],[17],90000,130000,[24],{"edr":28,"xdr":27,"bash":27,"json":27,"siem":28,"soar":28,"ueba":27,"python":27,"webhooks":27,"rest apis":27,"powershell":27},[30,138,139,140,141,142,143,144,145,146,147],"PowerShell","Bash","SIEM","SOAR","EDR","XDR","UEBA","REST APIs","JSON","Webhooks",{"mitre att&ck":28,"cloud\u002Fsaas logs":27,"active directory":27,"threat detection":28,"incident response":28,"network protocols":27,"endpoint artefacts":27,"security monitoring":28,"threat intelligence":27,"automation workflows":28,"ai-assisted security operations":27},[150,151,152,153,154,155,156,157,158,159,160],"Threat Detection","Incident Response","Security Monitoring","MITRE ATT&CK","Threat Intelligence","Active Directory","Network Protocols","Cloud\u002FSaaS Logs","Endpoint Artefacts","Automation Workflows","AI-assisted Security Operations",{"id":162,"slug":163,"title":164,"raw_title":10,"is_featured":11,"company":165,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":168,"processed_country_iso_code_gmaps":169,"processed_home_office":18,"processed_salary_min":19,"processed_salary_max":20,"processed_salary_currency":21,"processed_salary_source":22,"processed_working_hours":170,"processed_employment_types":25,"processed_it_skills":171,"processed_it_skills_labels":172,"processed_job_expertise_skills":176,"processed_job_expertise_skills_labels":177,"max_cpc":42,"actual_cpc":42},68085,"vp-credit-risk-model-validation-1011-united-overseas-bank-ltd","VP, Credit Risk Model Validation",{"name":166,"slug":167,"logo_url":10},"United Overseas Bank Ltd","united-overseas-bank-ltd",[51],[17],[24],{"r":28,"sas":28,"python":28,"excel vba":28},[30,173,174,175],"R","SAS","Excel VBA",{"back testing":28,"documentation":28,"model validation":28,"statistical methods":28,"credit risk modeling":28,"sensitivity analysis":28,"benchmark comparisons":28,"quantitative analysis":28,"regulatory requirements":28,"stakeholder communication":28},[178,179,180,181,182,183,184,185,186,187],"Credit Risk Modeling","Statistical Methods","Quantitative Analysis","Model Validation","Regulatory Requirements","Back Testing","Sensitivity Analysis","Benchmark Comparisons","Documentation","Stakeholder Communication",{"id":189,"slug":190,"title":191,"raw_title":10,"is_featured":11,"company":192,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":193,"processed_country_iso_code_gmaps":194,"processed_home_office":18,"processed_salary_min":195,"processed_salary_max":19,"processed_salary_currency":21,"processed_salary_source":22,"processed_working_hours":196,"processed_employment_types":25,"processed_it_skills":197,"processed_it_skills_labels":198,"processed_job_expertise_skills":202,"processed_job_expertise_skills_labels":203,"max_cpc":42,"actual_cpc":42},62341,"data-scientist-ai-lab-manager-ocbc-bank","Data Scientist, AI Lab (Manager)",{"name":13,"slug":14,"logo_url":10},[],[17],80000,[24],{"sql":27,"python":28,"typescript":27,"generative ai":28,"machine learning":28},[30,199,200,60,201],"SQL","TypeScript","Generative AI",{"data modeling":28,"data visualization":27,"predictive modeling":28,"ai services architecture":27},[66,204,205,206],"Predictive Modeling","Data Visualization","AI Services Architecture",{"id":208,"slug":209,"title":210,"raw_title":10,"is_featured":11,"company":211,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":212,"processed_country_iso_code_gmaps":213,"processed_home_office":87,"processed_salary_min":133,"processed_salary_max":134,"processed_salary_currency":21,"processed_salary_source":22,"processed_working_hours":214,"processed_employment_types":25,"processed_it_skills":215,"processed_it_skills_labels":216,"processed_job_expertise_skills":220,"processed_job_expertise_skills_labels":221,"max_cpc":42,"actual_cpc":42},72467,"technology-service-specialist-avp-0780-deutsche-bank-aktiengesellschaft-asia-pacific-head-office","Technology Service Specialist, AVP",{"name":83,"slug":84,"logo_url":10},[51],[17],[24],{"perl":27,"ibm mq":28,"python":27,"solace":28,"ai tools":27,"unix\u002Flinux shell":27},[217,218,30,219,94,102],"IBM MQ","Solace","UNIX\u002FLinux Shell",{"automation":28,"observability":28,"sla management":28,"change management":28,"problem management":28,"sre best practices":28,"incident management":28,"root cause analysis":28,"messaging architecture":28,"disaster recovery coordination":28,"it support in financial services":28,"infrastructure (network, unix, storage)":28},[109,111,110,222,223,125,107,224,225,226,227,228],"Root Cause Analysis","Disaster Recovery Coordination","Observability","SRE Best Practices","Infrastructure (Network, UNIX, Storage)","Messaging Architecture","IT Support in Financial Services",{"id":230,"slug":231,"title":232,"raw_title":10,"is_featured":11,"company":233,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":234,"processed_country_iso_code_gmaps":235,"processed_home_office":18,"processed_salary_min":236,"processed_salary_max":237,"processed_salary_currency":21,"processed_salary_source":22,"processed_working_hours":238,"processed_employment_types":239,"processed_it_skills":240,"processed_it_skills_labels":242,"processed_job_expertise_skills":246,"processed_job_expertise_skills_labels":247,"max_cpc":42,"actual_cpc":42},62403,"internship-global-markets-business-management-unit-system-solution-analytics-aug-to-dec-2026-ocbc-bank","Internship, Global Markets, Business Management Unit\u002F System Solution Analytics [Aug to Dec 2026]",{"name":13,"slug":14,"logo_url":10},[],[17],1000,2000,[24],"student",{"python":27,"tableau":27,"power bi":27,"excel vba":27,"ai prompt coding":241},2,[175,30,243,244,245],"Power BI","Tableau","AI prompt coding",{"automation":27,"testing\u002Fqa":241,"data analytics":27,"data visualization":27,"project management":241},[248,205,107,249,250],"Data Analytics","Testing\u002FQA","Project Management",{"id":252,"slug":253,"title":254,"raw_title":10,"is_featured":11,"company":255,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":256,"processed_country_iso_code_gmaps":257,"processed_home_office":18,"processed_salary_min":19,"processed_salary_max":20,"processed_salary_currency":21,"processed_salary_source":22,"processed_working_hours":258,"processed_employment_types":25,"processed_it_skills":259,"processed_it_skills_labels":260,"processed_job_expertise_skills":272,"processed_job_expertise_skills_labels":273,"max_cpc":42,"actual_cpc":42},62501,"senior-applied-data-scientist-ocbc-bank","Senior Applied Data Scientist",{"name":13,"slug":14,"logo_url":10},[],[17],[24],{"aws":27,"git":27,"ray":27,"sql":27,"jira":27,"trino":27,"hadoop":27,"python":28,"elastic":27,"jenkins":27,"microsoft word":241,"microsoft excel":27,"microsoft access":241,"microsoft powerpoint":241},[30,199,261,262,263,264,265,98,266,267,268,269,270,271],"Hadoop","Trino","Elastic","Ray","AWS","Jenkins","Jira","Microsoft Excel","Microsoft Access","Microsoft Word","Microsoft PowerPoint",{"ci\u002Fcd":27,"mlops":28,"data science":28,"deep learning":28,"generative ai":28,"responsible ai":27,"fraud detection":27,"risk management":27,"data engineering":27,"machine learning":28,"model deployment":28,"model governance":27,"model monitoring":28,"customer analytics":28,"project management":27,"statistical modeling":28,"large language models":28,"retrieval-augmented generation":28},[37,60,274,201,275,276,277,278,279,280,281,282,283,284,285,286,287,250],"Deep Learning","Statistical Modeling","Customer Analytics","Risk Management","Fraud Detection","Model Deployment","MLOps","CI\u002FCD","Data Engineering","Large Language Models","Retrieval-Augmented Generation","Model Monitoring","Model Governance","Responsible AI",{"id":289,"slug":290,"title":291,"raw_title":10,"is_featured":11,"company":292,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":293,"processed_country_iso_code_gmaps":294,"processed_home_office":18,"processed_salary_min":19,"processed_salary_max":20,"processed_salary_currency":21,"processed_salary_source":22,"processed_working_hours":295,"processed_employment_types":25,"processed_it_skills":296,"processed_it_skills_labels":297,"processed_job_expertise_skills":302,"processed_job_expertise_skills_labels":303,"max_cpc":42,"actual_cpc":42},60029,"senior-research-specialist-oil-sgp001-refinitiv-asia-pte-ltd","Senior Research Specialist, Oil",{"name":48,"slug":49,"logo_url":10},[51],[17],[24],{"vba":27,"excel":28,"matlab":27,"python":27,"powerbi":27},[298,299,30,300,301],"Excel","VBA","MATLAB","PowerBI",{"research":28,"market analysis":28,"supply and demand modeling":28,"financial markets understanding":27,"oil and gas value chain knowledge":28},[304,305,306,307,308],"Market Analysis","Supply and Demand Modeling","Oil and Gas Value Chain Knowledge","Financial Markets Understanding","Research",{"id":310,"slug":311,"title":312,"raw_title":10,"is_featured":11,"company":313,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":316,"processed_country_iso_code_gmaps":317,"processed_home_office":18,"processed_salary_min":89,"processed_salary_max":318,"processed_salary_currency":53,"processed_salary_source":22,"processed_working_hours":319,"processed_employment_types":25,"processed_it_skills":320,"processed_it_skills_labels":321,"processed_job_expertise_skills":328,"processed_job_expertise_skills_labels":329,"max_cpc":42,"actual_cpc":42},56421,"director-data-scientist-valdimir-pte-ltd","Director, Data Scientist",{"name":314,"slug":315,"logo_url":10},"Valdimir Pte Ltd","valdimir-pte-ltd",[51],[17],250000,[24],{"r":28,"sas":27,"sql":28,"spss":27,"spark":27,"python":28,"rapidminer":241,"claude code":27,"github copilot":27,"databricks genie":27},[30,199,174,322,173,323,324,325,326,327],"SPSS","Spark","RapidMiner","Claude Code","Github Copilot","Databricks Genie",{"ann":28,"cnn":28,"dnn":28,"svm":28,"arma":28,"genai":28,"k-means":28,"agentic ai":28,"data mining":28,"vibe coding":27,"decision tree":28,"random forest":28,"neural network":28,"team management":28,"association rule":28,"machine learning":28,"linear regression":28,"customer analytics":28,"prompt engineering":28,"context engineering":28,"harness engineering":28,"logistic regression":28,"knowledge base\u002Fgraph":28,"strategy development":28,"business intelligence":28,"insurance industry knowledge":28},[276,60,330,331,332,333,334,335,336,337,338,339,340,341,342,343,344,345,346,347,348,349,350,351,352,353],"Data Mining","Business Intelligence","Linear Regression","Logistic Regression","Decision Tree","Neural Network","Random Forest","K-means","ARMA","Association Rule","SVM","ANN","CNN","DNN","GenAI","Agentic AI","Knowledge Base\u002FGraph","Prompt Engineering","Context Engineering","Harness Engineering","Vibe Coding","Team Management","Strategy Development","Insurance Industry Knowledge",{"id":355,"slug":356,"title":357,"raw_title":10,"is_featured":11,"company":358,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":359,"processed_country_iso_code_gmaps":360,"processed_home_office":18,"processed_salary_min":133,"processed_salary_max":134,"processed_salary_currency":21,"processed_salary_source":22,"processed_working_hours":361,"processed_employment_types":25,"processed_it_skills":362,"processed_it_skills_labels":363,"processed_job_expertise_skills":377,"processed_job_expertise_skills_labels":378,"max_cpc":42,"actual_cpc":42},62438,"observability-engineer-site-reliability-engineering-sre-ocbc-bank","Observability Engineer - Site Reliability Engineering (SRE)",{"name":13,"slug":14,"logo_url":10},[],[17],[24],{"jira":27,"istio":241,"python":28,"ansible":27,"grafana":241,"jenkins":27,"moogsoft":241,"bitbucket":27,"dynatrace":241,"openshift":28,"kubernetes":28,"prometheus":241,"restful apis":27,"elastic stack":241,"opentelemetry":28,"aws eventbridge":27},[364,365,30,366,367,368,369,370,267,266,371,372,373,374,375,376],"Kubernetes","OpenShift","OpenTelemetry","RESTful APIs","AWS EventBridge","Ansible","Bitbucket","Elastic Stack","Moogsoft","Dynatrace","Prometheus","Grafana","Istio",{"devops":28,"automation":28,"observability":28,"incident response":27,"sli\u002Fslo frameworks":27,"distributed tracing":27,"platform engineering":28,"configuration management":27,"compliance and governance":241,"microservices architecture":241,"site reliability engineering":28},[379,380,381,224,382,151,383,107,384,385,386],"Site Reliability Engineering","Platform Engineering","DevOps","SLI\u002FSLO Frameworks","Configuration Management","Microservices Architecture","Distributed Tracing","Compliance and Governance",{"id":388,"slug":389,"title":390,"raw_title":10,"is_featured":11,"company":391,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":394,"processed_country_iso_code_gmaps":395,"processed_home_office":18,"processed_salary_min":396,"processed_salary_max":133,"processed_salary_currency":21,"processed_salary_source":22,"processed_working_hours":397,"processed_employment_types":25,"processed_it_skills":398,"processed_it_skills_labels":399,"processed_job_expertise_skills":401,"processed_job_expertise_skills_labels":402,"max_cpc":42,"actual_cpc":42},61616,"multi-strat-and-investment-ai-specialist-bank-of-singapore-limited","Multi-Strat and Investment AI Specialist",{"name":392,"slug":393,"logo_url":10},"Bank of Singapore Limited","bank-of-singapore-limited",[],[17],60000,[24],{"apis":27,"ai\u002Fml":27,"python":28},[30,32,400],"AI\u002FML",{"data analysis":27,"report writing":27,"asset management":27,"model maintenance":27,"scenario analysis":27,"investment research":27,"client presentations":27,"macroeconomic analysis":27,"financial markets knowledge":27},[403,404,405,406,407,408,409,410,411],"Investment Research","Asset Management","Macroeconomic Analysis","Financial Markets Knowledge","Data Analysis","Scenario Analysis","Model Maintenance","Report Writing","Client Presentations",{"id":413,"slug":414,"title":415,"raw_title":10,"is_featured":11,"company":416,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":417,"processed_country_iso_code_gmaps":418,"processed_home_office":18,"processed_salary_min":19,"processed_salary_max":20,"processed_salary_currency":21,"processed_salary_source":22,"processed_working_hours":419,"processed_employment_types":25,"processed_it_skills":420,"processed_it_skills_labels":421,"processed_job_expertise_skills":431,"processed_job_expertise_skills_labels":432,"max_cpc":42,"actual_cpc":42},62235,"ai-software-engineer-vped-ocbc-bank","AI Software Engineer - VP\u002FED",{"name":13,"slug":14,"logo_url":10},[],[17],[24],{"aws":28,"gcp":28,"mcp":28,"java":28,"azure":28,"ci\u002Fcd":28,"devops":28,"python":28,"node.js":28,"langchain":28,"langgraph":28,"typescript":28,"vector databases":28,"orchestration frameworks":28,"agent-based architectures":28},[57,30,200,422,265,423,424,281,381,425,426,427,428,429,430],"Node.js","Azure","GCP","LangChain","LangGraph","MCP","Vector databases","Orchestration frameworks","Agent-based architectures",{"apis":28,"agents":28,"ai apis":28,"copilots":28,"security":28,"golden paths":28,"ai governance":28,"observability":28,"ci\u002Fcd pipelines":28,"adoption metrics":28,"software quality":28,"delivery velocity":28,"knowledge systems":28,"distributed systems":28,"workflow automation":28,"platform engineering":28,"software engineering":28,"software architecture":28,"developer productivity":28,"engineering toolchains":28,"operational resilience":28,"ai-powered applications":28,"business-impact metrics":28,"reference architectures":28,"responsible ai practices":28,"large language models (llms)":28,"enterprise-scale applications":28,"engineering productivity metrics":28,"retrieval-augmented generation (rag)":28},[433,434,435,436,32,437,438,439,224,440,441,442,443,444,445,446,447,448,449,450,451,452,453,454,455,456,457,458,459],"Software engineering","Enterprise-scale applications","Platform engineering","Distributed systems","Software architecture","AI governance","Security","Responsible AI practices","Retrieval-augmented generation (RAG)","Large language models (LLMs)","AI APIs","AI-powered applications","Copilots","Agents","Workflow automation","Knowledge systems","CI\u002FCD pipelines","Engineering toolchains","Developer productivity","Software quality","Operational resilience","Delivery velocity","Reference architectures","Golden paths","Engineering productivity metrics","Adoption metrics","Business-impact metrics",{"id":461,"slug":462,"title":463,"raw_title":10,"is_featured":11,"company":464,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":467,"processed_country_iso_code_gmaps":468,"processed_home_office":18,"processed_salary_min":195,"processed_salary_max":19,"processed_salary_currency":21,"processed_salary_source":22,"processed_working_hours":469,"processed_employment_types":25,"processed_it_skills":470,"processed_it_skills_labels":471,"processed_job_expertise_skills":473,"processed_job_expertise_skills_labels":474,"max_cpc":42,"actual_cpc":42},63262,"health-analytics-specialist-pacs-prudential-assurance-company-singapore-pte-ltd","Health Analytics Specialist",{"name":465,"slug":466,"logo_url":10},"Prudential Assurance Company Singapore (Pte) Ltd","prudential-assurance-company-singapore-pte-ltd",[51],[17],[24],{"sas":27,"sql":28,"spss":27,"python":28,"tableau":27,"power bi":27,"databricks":241},[199,30,174,322,243,244,472],"Databricks",{"kpi tracking":27,"fraud detection":27,"data visualization":27,"insurance analytics":28,"morbidity modelling":27,"healthcare analytics":28,"business intelligence":27,"persistency modelling":27,"statistical modelling":28,"medical claims analysis":27,"provider network analysis":27,"policyholder behaviour analysis":27},[475,476,477,205,331,478,479,480,278,481,482,483],"Healthcare Analytics","Insurance Analytics","Statistical Modelling","KPI Tracking","Medical Claims Analysis","Provider Network Analysis","Morbidity Modelling","Persistency Modelling","Policyholder Behaviour Analysis",{"id":485,"slug":486,"title":487,"raw_title":10,"is_featured":11,"company":488,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":492,"processed_country_iso_code_gmaps":493,"processed_home_office":87,"processed_salary_min":19,"processed_salary_max":20,"processed_salary_currency":21,"processed_salary_source":22,"processed_working_hours":494,"processed_employment_types":25,"processed_it_skills":495,"processed_it_skills_labels":496,"processed_job_expertise_skills":500,"processed_job_expertise_skills_labels":501,"max_cpc":42,"actual_cpc":42},45823,"life-health-actuarial-expert-mfd-allianz-insurance","Life & Health Actuarial Expert (m\u002Ff\u002Fd)",{"name":489,"slug":490,"logo_url":491},"Allianz Insurance","allianz-insurance","https:\u002F\u002Fcdn.phenompeople.com\u002FCareerConnectResources\u002FAISAIPGB\u002Fimages\u002FHeader-1706868786965.svg",[51],[17],[24],{"r":27,"sas":27,"sql":27,"vba":28,"axis":27,"rafm":27,"excel":28,"python":27,"prophet":27},[298,299,30,173,199,174,497,498,499],"RAFM","Prophet","AXIS",{"ifrs 17":28,"mas 133":27,"reserving":28,"actuarial science":28,"assumption setting":27,"experience studies":27,"cash flow modelling":28,"portfolio analytics":27,"regulatory reporting":27,"risk capital modelling":27},[502,503,504,505,506,507,508,509,510,511],"Actuarial Science","IFRS 17","Reserving","Cash Flow Modelling","Risk Capital Modelling","Experience Studies","Assumption Setting","Portfolio Analytics","Regulatory Reporting","MAS 133",{"id":513,"slug":514,"title":515,"raw_title":10,"is_featured":11,"company":516,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":517,"processed_country_iso_code_gmaps":518,"processed_home_office":18,"processed_salary_min":133,"processed_salary_max":134,"processed_salary_currency":21,"processed_salary_source":22,"processed_working_hours":519,"processed_employment_types":25,"processed_it_skills":520,"processed_it_skills_labels":521,"processed_job_expertise_skills":531,"processed_job_expertise_skills_labels":532,"max_cpc":42,"actual_cpc":42},62345,"devops-engineer-avp-ocbc-bank","DevOps Engineer (AVP)",{"name":13,"slug":14,"logo_url":10},[],[17],[24],{"aws":27,"gcp":27,"jira":27,"azure":27,"shell":27,"docker":27,"groovy":27,"python":27,"jenkins":28,"contrast":28,"coverity":28,"bitbucket":27,"sonarqube":28,"confluence":27,"kubernetes":27,"blackduck hub":28,"nexus repository manager":27},[522,523,524,266,525,267,370,526,527,528,30,529,530,364,265,423,424],"Blackduck Hub","Coverity","Contrast","SonarQube","Confluence","Nexus Repository Manager","Shell","Groovy","Docker",{"sca":28,"dast":28,"iast":28,"sast":28,"scripting":27,"ai integration":28,"ci\u002Fcd pipelines":28,"cloud platforms":27,"containerization":27,"devops engineering":28,"linux\u002Funix systems":27,"tool administration":28,"infrastructure as code":27,"compliance and security":28,"monitoring and alerting":28,"automation and optimization":28,"upgrade and patch management":28},[533,534,535,536,537,538,539,540,541,542,543,544,545,546,547,548,549],"DevOps Engineering","Tool Administration","Upgrade and Patch Management","Compliance and Security","Automation and Optimization","Monitoring and Alerting","AI Integration","SAST","SCA","DAST","IAST","CI\u002FCD Pipelines","Infrastructure as Code","Linux\u002FUnix Systems","Scripting","Containerization","Cloud Platforms",{"id":551,"slug":552,"title":553,"raw_title":10,"is_featured":11,"company":554,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":555,"processed_country_iso_code_gmaps":556,"processed_home_office":18,"processed_salary_min":133,"processed_salary_max":134,"processed_salary_currency":21,"processed_salary_source":22,"processed_working_hours":557,"processed_employment_types":25,"processed_it_skills":558,"processed_it_skills_labels":559,"processed_job_expertise_skills":564,"processed_job_expertise_skills_labels":565,"max_cpc":42,"actual_cpc":42},62249,"avp-credit-risk-data-scientist-credit-risk-modelling-ocbc-bank","AVP, Credit Risk Data Scientist, Credit Risk Modelling",{"name":13,"slug":14,"logo_url":10},[],[17],[24],{"git":241,"sql":27,"hive":27,"jira":241,"spark":27,"trino":27,"hadoop":27,"python":28,"jenkins":241,"pytorch":28,"tensorflow":28,"scikit-learn":28},[30,199,261,560,262,323,267,266,98,561,562,563],"Hive","Scikit-Learn","TensorFlow","PyTorch",{"data analysis":28,"risk management":28,"machine learning":28,"model governance":27,"model validation":27,"project management":27,"credit risk modelling":28,"regulatory compliance":27},[566,60,407,181,286,567,277,250],"Credit Risk Modelling","Regulatory Compliance",{"id":569,"slug":570,"title":571,"raw_title":10,"is_featured":11,"company":572,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":573,"processed_country_iso_code_gmaps":574,"processed_home_office":18,"processed_salary_min":575,"processed_salary_max":576,"processed_salary_currency":21,"processed_salary_source":22,"processed_working_hours":577,"processed_employment_types":239,"processed_it_skills":578,"processed_it_skills_labels":579,"processed_job_expertise_skills":582,"processed_job_expertise_skills_labels":583,"max_cpc":42,"actual_cpc":42},45525,"actuarial-intern-allianz-insurance-2","Actuarial Intern",{"name":489,"slug":490,"logo_url":491},[51],[17],24000,36000,[24],{"python":28,"chatgpt":241,"microsoft copilot":241},[30,580,581],"Microsoft CoPilot","ChatGPT",{"pricing":241,"underwriting":241,"data analysis":28,"market analysis":27,"financial analysis":27,"product development":27,"portfolio management":27},[584,407,585,586,304,587,588],"Financial Analysis","Product Development","Portfolio Management","Underwriting","Pricing",{"id":590,"slug":591,"title":592,"raw_title":10,"is_featured":11,"company":593,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":594,"processed_country_iso_code_gmaps":595,"processed_home_office":18,"processed_salary_min":19,"processed_salary_max":20,"processed_salary_currency":21,"processed_salary_source":22,"processed_working_hours":596,"processed_employment_types":25,"processed_it_skills":597,"processed_it_skills_labels":598,"processed_job_expertise_skills":616,"processed_job_expertise_skills_labels":617,"max_cpc":42,"actual_cpc":42},62344,"data-engineer-vp-ocbc-bank","Data Engineer (VP)",{"name":13,"slug":14,"logo_url":10},[],[17],[24],{"aws":28,"dbt":27,"git":27,"sql":28,"ci\u002Fcd":27,"kafka":27,"docker":27,"hadoop":27,"python":28,"airflow":27,"dagster":27,"kinesis":27,"pyspark":28,"pinecone":241,"power bi":27,"weaviate":241,"langchain":241,"sagemaker":241,"terraform":241,"databricks":27,"kubernetes":27,"opensearch":241,"apache spark":28,"amazon bedrock":241,"apache iceberg":28,"cloudformation":241,"data virtualization":27,"unix\u002Flinux shell scripting":27},[199,599,600,30,601,602,603,604,98,281,605,265,606,607,261,608,243,530,364,609,610,472,611,425,612,613,614,615],"Apache Spark","PySpark","Apache Iceberg","dbt","Airflow","Dagster","Unix\u002FLinux shell scripting","Kafka","Kinesis","Data Virtualization","Amazon Bedrock","SageMaker","OpenSearch","Pinecone","Weaviate","Terraform","CloudFormation",{"mlops":27,"banking":27,"dataops":28,"data mesh":241,"data lineage":28,"ai governance":241,"data products":241,"generative ai":27,"vector search":27,"responsible ai":241,"data governance":28,"data engineering":28,"machine learning":27,"data observability":28,"financial services":27,"distributed systems":27,"feature engineering":27,"metadata management":28,"lakehouse architecture":28,"cloud-native architecture":28,"data platform architecture":28,"large language models (llms)":241,"retrieval-augmented generation (rag)":27},[282,618,619,620,621,622,623,624,625,280,60,201,626,627,628,629,630,631,632,287,633,634,635],"Data Platform Architecture","Cloud-native Architecture","Lakehouse Architecture","Data Governance","Data Lineage","Metadata Management","Data Observability","DataOps","Retrieval-Augmented Generation (RAG)","Feature Engineering","Vector Search","Data Mesh","Data Products","Distributed Systems","Large Language Models (LLMs)","AI Governance","Financial Services","Banking",{"image_path":637,"content_de":638,"content_en":651,"composite_key":664,"last_updated":665},"\u002Fimages\u002Fskill\u002Fpython.webp",{"tab1":639,"tab2":642,"tab3":645,"tab4":648},{"title":640,"content":641},"Bedeutung & Relevanz","Die Bedeutung von [Python](\u002Fjobs-by-skill\u002Fpython) in [Singapur](\u002Fsearch) ist enorm, da es eine der meistgenutzten Programmiersprachen in der Finanzbranche ist. In [Singapur](\u002Fsearch), einem globalen Finanzzentrum, wird [Python](\u002Fjobs-by-skill\u002Fpython) für Datenanalyse, Automatisierung und maschinelles Lernen eingesetzt, um komplexe Finanzmodelle zu entwickeln und Handelsstrategien zu optimieren. Seine Einfachheit und Vielseitigkeit machen es ideal für Aufgaben wie [Cashflow-Management](\u002Fjobs-by-expertise\u002Fcash-flow-management) und [Portfoliorisikomanagement](\u002Fjobs-by-expertise\u002Fportfolio-risk-management), was in der dynamischen [Investmentverwaltung](\u002Fjobs-by-industry\u002Finvestment-management) und [Finanz](\u002Fjobs-by-industry\u002Ffinance)-Landschaft [Singapurs](\u002Fsearch) unverzichtbar ist. Unternehmen nutzen [Python](\u002Fjobs-by-skill\u002Fpython), um Effizienz zu steigern und wettbewerbsfähig zu bleiben, was es zu einer Schlüsselkompetenz für Fachkräfte macht.",{"title":643,"content":644},"Top-Branchen & Standorte","In [Singapur](\u002Fsearch) ist [Python](\u002Fjobs-by-skill\u002Fpython) besonders gefragt in Branchen wie [Investmentverwaltung](\u002Fjobs-by-industry\u002Finvestment-management) und [Finanz](\u002Fjobs-by-industry\u002Ffinance), wo es für quantitative Analyse und Risikomanagement eingesetzt wird. Top-Standorte in [Singapur](\u002Fsearch) umfassen das zentrale Geschäftsviertel, das als Hub für Finanzinstitute dient. Diese Branchen nutzen [Python](\u002Fjobs-by-skill\u002Fpython), um Prozesse in Bereichen wie [Derivatebestätigung](\u002Fjobs-by-expertise\u002Fderivatives-confirmation) und [Handelsabwicklung](\u002Fjobs-by-expertise\u002Ftrade-settlement) zu automatisieren, was die operative Effizienz in der lebhaften Wirtschaft [Singapurs](\u002Fsearch) steigert.",{"title":646,"content":647},"Gefragte Skills & Arbeitgeber","Top-Expertisen, die [Python](\u002Fjobs-by-skill\u002Fpython) in [Singapur](\u002Fsearch) erfordern, sind [Cash- und Liquiditätsmanagement](\u002Fjobs-by-expertise\u002Fcash-and-liquidity-management), [Collateral-Margining](\u002Fjobs-by-expertise\u002Fcollateral-margining), und [Asset-Setup](\u002Fjobs-by-expertise\u002Fasset-setup). Führende Arbeitgeber wie [PIMCO Asia Pte Ltd](\u002Fcompany\u002Fpimco-asia-pte-ltd) setzen [Python](\u002Fjobs-by-skill\u002Fpython) ein, um Finanzproduktverarbeitung und FX-Workflows zu optimieren. Diese Unternehmen suchen Fachkräfte, die [Python](\u002Fjobs-by-skill\u002Fpython) mit Kenntnissen in [Festverzinsliche Wertpapiere](\u002Fjobs-by-expertise\u002Ffixed-income) und [Aktien](\u002Fjobs-by-expertise\u002Fequities) kombinieren, um in der wettbewerbsintensiven Umgebung [Singapurs](\u002Fsearch) innovative Lösungen zu entwickeln.",{"title":649,"content":650},"Karriere & Entwicklung","Karrierewege mit [Python](\u002Fjobs-by-skill\u002Fpython) in [Singapur](\u002Fsearch) umfassen Rollen wie Datenanalyst, Quantitativer Analyst oder Softwareentwickler in der Finanzbranche. Um die Fähigkeit zu erlernen, empfehlen sich Online-Kurse, praktische Projekte und die Kombination mit verwandten IT-Skills wie [Excel](\u002Fjobs-by-skill\u002Fexcel), [SQL](\u002Fjobs-by-skill\u002Fsql) und [VBA](\u002Fjobs-by-skill\u002Fvba). Die Entwicklung von [Python](\u002Fjobs-by-skill\u002Fpython)-Kenntnissen kann durch Anwendung in Expertisen wie [Leistungs- und Attributionsanalysen](\u002Fjobs-by-expertise\u002Fperformance-and-attribution-analyses) und der Nutzung von Tools wie [Bloomberg Trade Order Management System](\u002Fjobs-by-skill\u002Fbloomberg-trade-order-management-system) verbessert werden, was in [Singapur](\u002Fsearch) zu höheren Gehältern und Aufstiegschancen führt.",{"tab1":652,"tab2":655,"tab3":658,"tab4":661},{"title":653,"content":654},"Strategic Importance","Python holds immense strategic importance in [Singapore](\u002Fsearch), particularly within the financial sector, where its versatility and efficiency drive innovation and operational excellence. As a global financial hub, [Singapore](\u002Fsearch) leverages Python for data analysis, automation, and complex financial modeling, enabling firms to enhance decision-making and maintain competitive edges. In [Investment Management](\u002Fjobs-by-industry\u002Finvestment-management) and broader [Finance](\u002Fjobs-by-industry\u002Ffinance) industries, Python's robust libraries support tasks like algorithmic trading, risk assessment, and portfolio optimization, making it indispensable for handling large datasets and real-time market data. Its adaptability fosters agility in developing fintech solutions, aligning with [Singapore](\u002Fsearch)'s push towards digital transformation and smart nation initiatives, ensuring sustained growth and resilience in the dynamic economic landscape.",{"title":656,"content":657},"Top Industries & Locations","In [Singapore](\u002Fsearch), Python is in high demand across key industries such as [Investment Management](\u002Fjobs-by-industry\u002Finvestment-management) and [Finance](\u002Fjobs-by-industry\u002Ffinance), where it powers data-driven strategies and automation. Top locations for Python roles include the central business district and tech hubs like Marina Bay, which host numerous financial institutions and tech firms. [Singapore](\u002Fsearch) itself, as a prime location, offers abundant opportunities in these sectors, supported by a robust infrastructure and a thriving ecosystem for innovation. Companies in these areas utilize Python for tasks ranging from financial analysis to developing cutting-edge applications, making it a critical skill for professionals aiming to excel in [Singapore](\u002Fsearch)'s competitive job market.",{"title":659,"content":660},"In-Demand Skills & Employers","Top companies like [PIMCO Asia Pte Ltd](\u002Fcompany\u002Fpimco-asia-pte-ltd) in [Singapore](\u002Fsearch) highly value Python, especially when combined with expertise in [Cash and Liquidity Management](\u002Fjobs-by-expertise\u002Fcash-and-liquidity-management), [Collateral Margining](\u002Fjobs-by-expertise\u002Fcollateral-margining), and [Asset Setup](\u002Fjobs-by-expertise\u002Fasset-setup). Python is essential for roles involving derivatives confirmation, trade settlement, and financial products processing, as well as for analyzing fixed income, equities, and FX workflows. It supports [Portfolio Risk Management](\u002Fjobs-by-expertise\u002Fportfolio-risk-management) and performance analyses, making it a key tool for employers seeking to optimize operations and mitigate risks in the fast-paced financial environment of [Singapore](\u002Fsearch).",{"title":662,"content":663},"Career & Development","Career paths for Python proficiency in [Singapore](\u002Fsearch) often lead to roles in data analysis, quantitative finance, and software development within the [Finance](\u002Fjobs-by-industry\u002Ffinance) and [Investment Management](\u002Fjobs-by-industry\u002Finvestment-management) sectors. To learn Python, professionals can pursue online courses, certifications, or degrees in computer science or data analytics, complemented by hands-on projects. Combining Python with skills like [Excel](\u002Fjobs-by-skill\u002Fexcel), [SQL](\u002Fjobs-by-skill\u002Fsql), and expertise in areas such as [Cash Flow Management](\u002Fjobs-by-expertise\u002Fcash-flow-management) enhances job prospects. Engaging with local tech communities and attending workshops in [Singapore](\u002Fsearch) can further accelerate career growth, ensuring alignment with industry demands and future trends.","skill:python:sg","2026-08-17T09:01:42.228951+02:00",{"industry":667,"employment_type":696,"expertise_skills":706,"it_skills":773,"salary_currency":839,"processed_working_hours":843},[668,671,674,678,682,685,688,691,693],{"key":669,"label":635,"count":670},"banking",103,{"key":672,"label":634,"count":673},"financial services",97,{"key":675,"label":676,"count":677},"insurance","Insurance",12,{"key":679,"label":680,"count":681},"financial markets infrastructure","Financial Markets Infrastructure",5,{"key":683,"label":684,"count":27},"wealth management","Wealth Management",{"key":686,"label":687,"count":27},"data","Data",{"key":689,"label":690,"count":241},"data provider","Data Provider",{"key":692,"label":404,"count":241},"asset management",{"key":694,"label":695,"count":42},"alternative asset management","Alternative Asset Management",[697,700,703],{"key":25,"label":698,"count":699},"PERMANENT",112,{"key":239,"label":701,"count":702},"STUDENT",32,{"key":704,"label":705,"count":681},"contract","CONTRACT",[707,710,713,716,718,721,723,726,730,733,736,739,741,744,746,749,753,756,758,761,763,765,767,770],{"key":708,"label":277,"slug":708,"count":709},"risk-management",26,{"key":711,"label":60,"slug":711,"count":712},"machine-learning",25,{"key":714,"label":407,"slug":714,"count":715},"data-analysis",24,{"key":717,"label":107,"slug":717,"count":715},"automation",{"key":719,"label":720,"slug":719,"count":715},"project-management","Project management",{"key":722,"label":248,"slug":722,"count":715},"data-analytics",{"key":724,"label":621,"slug":724,"count":725},"data-governance",21,{"key":727,"label":728,"slug":727,"count":729},"process-improvement","Process Improvement",19,{"key":731,"label":567,"slug":731,"count":732},"regulatory-compliance",16,{"key":734,"label":331,"slug":734,"count":735},"business-intelligence",15,{"key":737,"label":282,"slug":737,"count":738},"data-engineering",14,{"key":740,"label":205,"slug":740,"count":738},"data-visualization",{"key":742,"label":37,"slug":742,"count":743},"data-science",13,{"key":745,"label":181,"slug":745,"count":677},"model-validation",{"key":747,"label":41,"slug":747,"count":748},"stakeholder-management",11,{"key":750,"label":751,"slug":750,"count":752},"process-automation","Process Automation",10,{"key":754,"label":406,"slug":754,"count":755},"financial-markets-knowledge",8,{"key":757,"label":180,"slug":757,"count":755},"quantitative-analysis",{"key":759,"label":760,"slug":759,"count":755},"data-management","Data Management",{"key":762,"label":66,"slug":762,"count":755},"data-modeling",{"key":764,"label":186,"slug":764,"count":755},"documentation",{"key":766,"label":110,"slug":766,"count":755},"change-management",{"key":768,"label":769,"slug":768,"count":755},"mlops","Mlops",{"key":771,"label":119,"slug":771,"count":772},"troubleshooting",7,[774,776,779,783,787,791,794,796,799,802,805,808,810,812,813,815,818,820,822,825,827,830,833,836],{"key":775,"label":30,"slug":775,"count":4},"python",{"key":777,"label":199,"slug":777,"count":778},"sql",71,{"key":780,"label":781,"slug":780,"count":782},"ms-excel","MS Excel",36,{"key":784,"label":785,"slug":784,"count":786},"ms-powerbi","MS PowerBI",35,{"key":788,"label":789,"slug":788,"count":790},"vba","Vba",23,{"key":792,"label":57,"slug":792,"count":793},"java",20,{"key":795,"label":244,"slug":795,"count":729},"tableau",{"key":797,"label":173,"slug":797,"count":798},"r",18,{"key":800,"label":364,"slug":800,"count":801},"kubernetes",17,{"key":803,"label":804,"slug":803,"count":801},"aws","Aws",{"key":806,"label":807,"slug":806,"count":732},"cicd","Ci\u002FCd",{"key":809,"label":266,"slug":809,"count":738},"jenkins",{"key":811,"label":323,"slug":811,"count":738},"spark",{"key":711,"label":60,"slug":711,"count":738},{"key":814,"label":98,"slug":814,"count":738},"git",{"key":816,"label":817,"slug":816,"count":743},"sas","Sas",{"key":819,"label":261,"slug":819,"count":677},"hadoop",{"key":821,"label":530,"slug":821,"count":748},"docker",{"key":823,"label":824,"slug":823,"count":748},"gcp","Gcp",{"key":826,"label":606,"slug":826,"count":748},"kafka",{"key":828,"label":829,"slug":828,"count":752},"tensorflow","Tensorflow",{"key":831,"label":832,"slug":831,"count":752},"powershell","Powershell",{"key":834,"label":835,"slug":834,"count":752},"langchain","Langchain",{"key":837,"label":838,"slug":837,"count":752},"ms-azure","MS Azure",[840,842],{"key":21,"label":21,"count":841},147,{"key":53,"label":53,"count":241},[844],{"key":24,"label":24,"count":4},{"total":846,"jobs":847},0,[]]