[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-python-ph":3,"job-search-\u002Fde-ph\u002Fjobs-by-skill\u002Fpython?page=3":8,"skill-page-filters-\u002Fde-ph\u002Fjobs-by-skill\u002Fpython?page=3":453,"featured-jobs-\u002Fde-ph\u002Fjobs-by-skill\u002Fpython?page=3":626},{"image_path":4,"content_de":5,"content_en":5,"composite_key":6,"last_updated":7},"\u002Fimages\u002Fskill\u002Fpython.webp",null,"skill:python:ph","2026-08-17T09:01:41.925498+02:00",{"total":9,"jobs":10},56,[11,62,98,135,162,180,208,242,263,292,306,328,362,386,414,436],{"id":12,"slug":13,"title":14,"raw_title":5,"is_featured":15,"company":16,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":19,"processed_country_iso_code_gmaps":21,"processed_home_office":23,"processed_salary_min":24,"processed_salary_max":25,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":28,"processed_employment_types":30,"processed_it_skills":31,"processed_it_skills_labels":34,"processed_job_expertise_skills":48,"processed_job_expertise_skills_labels":49,"max_cpc":61,"actual_cpc":61},59932,"application-architect-phl006-refinitiv-asia-pte-ltd-philippine-branch","Application Architect",false,{"name":17,"slug":18,"logo_url":5},"Refinitiv Asia Pte. Ltd. Philippine Branch","refinitiv-asia-pte-ltd-philippine-branch",[20],"Taguig",[22],"PH","onsite",100000,150000,"USD","estimated",[29],"FULL_TIME","permanent",{"aws":32,"java":32,"azure":33,"docker":32,"mlflow":33,"python":32,"node.js":33,"temporal":33,"langchain":32,"langgraph":33,"sagemaker":33,"snowflake":33,"kubernetes":32},4,3,[35,36,37,38,39,40,41,42,43,44,45,46,47],"Python","Java","Node.js","AWS","Azure","Docker","Kubernetes","Langchain","Langgraph","Temporal","MLflow","SageMaker","Snowflake",{"rag":32,"llmops":32,"api design":32,"architecture":32,"microservices":32,"data engineering":33,"prompt engineering":32,"llm solution design":32,"domain driven design":33,"model risk management":33,"event-driven architecture":32},[50,51,52,53,54,55,56,57,58,59,60],"Architecture","Microservices","API Design","Event-Driven Architecture","LLM Solution Design","RAG","Prompt Engineering","LLMOps","Model Risk Management","Domain Driven Design","Data Engineering",1,{"id":63,"slug":64,"title":65,"raw_title":5,"is_featured":15,"company":66,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":67,"processed_country_iso_code_gmaps":68,"processed_home_office":23,"processed_salary_min":69,"processed_salary_max":70,"processed_salary_currency":71,"processed_salary_source":27,"processed_working_hours":72,"processed_employment_types":30,"processed_it_skills":73,"processed_it_skills_labels":75,"processed_job_expertise_skills":86,"processed_job_expertise_skills_labels":87,"max_cpc":61,"actual_cpc":61},59943,"devsecops-engineer-senior-associate-phl006-refinitiv-asia-pte-ltd-philippine-branch","DevSecOps Engineer, Senior Associate",{"name":17,"slug":18,"logo_url":5},[20],[22],60000,90000,"PHP",[29],{"aws":32,"git":33,"bash":33,"jira":74,"asana":74,"ci\u002Fcd":32,"docker":32,"python":33,"sagemaker":74,"snowflake":74,"terraform":32,"kubernetes":32,"servicenow":74,"aws bedrock":74,"observability":33,"api integration":33},2,[76,77,38,40,41,35,78,79,80,46,47,81,82,83,84,85],"CI\u002FCD","Terraform","Bash","Git","AWS Bedrock","API Integration","Observability","Jira","Asana","ServiceNow",{"devsecops":32,"governance":74,"cost management":74,"cloud engineering":32,"release processes":33,"production support":33,"security standards":33,"container platforms":32,"incident management":33,"infrastructure as code":32},[88,89,90,91,92,93,94,95,96,97],"DevSecOps","Cloud Engineering","Infrastructure as Code","Container Platforms","Security Standards","Incident Management","Production Support","Release Processes","Cost Management","Governance",{"id":99,"slug":100,"title":101,"raw_title":5,"is_featured":15,"company":102,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":103,"processed_country_iso_code_gmaps":104,"processed_home_office":23,"processed_salary_min":70,"processed_salary_max":105,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":106,"processed_employment_types":30,"processed_it_skills":107,"processed_it_skills_labels":108,"processed_job_expertise_skills":114,"processed_job_expertise_skills_labels":115,"max_cpc":61,"actual_cpc":61},59970,"senior-data-scientist-phl006-refinitiv-asia-pte-ltd-philippine-branch-2","Senior Data Scientist",{"name":17,"slug":18,"logo_url":5},[20],[22],130000,[29],{"r":33,"aws":32,"git":33,"sql":33,"azure":33,"ci\u002Fcd":33,"python":32,"pytorch":32,"tensorflow":32,"scikit-learn":32},[35,109,110,111,112,113,79,76,38,39],"R","SQL","TensorFlow","PyTorch","Scikit-learn",{"nlp":32,"rag":32,"llms":32,"mlops":33,"scraping":33,"probability":32,"web crawling":33,"data analytics":32,"financial data":33,"product vision":33,"cloud platforms":32,"data management":33,"data processing":33,"coding standards":33,"entity extraction":33,"applied statistics":32,"feature engineering":32,"predictive modelling":32,"statistical analysis":32,"evaluation frameworks":33},[116,117,118,119,120,55,121,122,123,124,125,126,127,128,129,130,131,132,133,134],"Data Analytics","Feature Engineering","NLP","Predictive Modelling","LLMs","Statistical Analysis","Probability","Applied Statistics","MLOps","Data Management","Web Crawling","Scraping","Entity Extraction","Data Processing","Financial Data","Product Vision","Coding Standards","Evaluation Frameworks","Cloud Platforms",{"id":136,"slug":137,"title":138,"raw_title":5,"is_featured":15,"company":139,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":142,"processed_country_iso_code_gmaps":143,"processed_home_office":23,"processed_salary_min":144,"processed_salary_max":145,"processed_salary_currency":71,"processed_salary_source":27,"processed_working_hours":146,"processed_employment_types":30,"processed_it_skills":147,"processed_it_skills_labels":148,"processed_job_expertise_skills":151,"processed_job_expertise_skills_labels":152,"max_cpc":61,"actual_cpc":61},59947,"junior-data-scientist-phl001-refinitiv-limited-philippines-branch","Junior Data Scientist",{"name":140,"slug":141,"logo_url":5},"Refinitiv Limited - Philippines Branch","refinitiv-limited-philippines-branch",[20],[22],30000,45000,[29],{"r":33,"aws":33,"git":33,"sql":33,"azure":33,"ci\u002Fcd":33,"mlops":33,"numpy":32,"pandas":32,"python":32,"scikit-learn":32},[35,110,109,79,38,39,149,150,113,124,76],"Pandas","NumPy",{"nlp":32,"llms":32,"web scraping":33,"data cleaning":32,"rag workflows":32,"data analytics":32,"data management":33,"machine learning":32,"entity extraction":33,"data transformation":32,"feature engineering":32,"exploratory analysis":32,"statistical modelling":33,"financial services knowledge":74,"investment banking knowledge":74},[116,117,153,118,120,154,155,156,157,158,159,128,125,160,161],"Machine Learning","RAG Workflows","Statistical Modelling","Data Cleaning","Data Transformation","Exploratory Analysis","Web Scraping","Financial Services Knowledge","Investment Banking Knowledge",{"id":163,"slug":164,"title":165,"raw_title":5,"is_featured":15,"company":166,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":167,"processed_country_iso_code_gmaps":168,"processed_home_office":23,"processed_salary_min":69,"processed_salary_max":70,"processed_salary_currency":71,"processed_salary_source":27,"processed_working_hours":169,"processed_employment_types":30,"processed_it_skills":170,"processed_it_skills_labels":171,"processed_job_expertise_skills":173,"processed_job_expertise_skills_labels":174,"max_cpc":61,"actual_cpc":61},59953,"optimisation-services-business-operations-team-lead-phl006-refinitiv-asia-pte-ltd-philippine-branch","Optimisation Services Business Operations – Team Lead",{"name":17,"slug":18,"logo_url":5},[20],[22],[29],{"sql":74,"jira":74,"excel":33,"python":74},[172,35,110,83],"Excel",{"qa testing":74,"data analysis":32,"client onboarding":33,"operational coordination":32,"investment banking knowledge":74,"financial products and derivatives":74},[175,176,177,178,161,179],"Operational Coordination","Client Onboarding","Data Analysis","QA Testing","Financial Products and Derivatives",{"id":181,"slug":182,"title":183,"raw_title":5,"is_featured":15,"company":184,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":185,"processed_country_iso_code_gmaps":186,"processed_home_office":23,"processed_salary_min":70,"processed_salary_max":105,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":187,"processed_employment_types":30,"processed_it_skills":188,"processed_it_skills_labels":189,"processed_job_expertise_skills":197,"processed_job_expertise_skills_labels":198,"max_cpc":61,"actual_cpc":61},59981,"technical-lead-site-reliability-engineering-phl006-refinitiv-asia-pte-ltd-philippine-branch","Technical Lead - Site Reliability Engineering",{"name":17,"slug":18,"logo_url":5},[20],[22],[29],{"aws":32,"elk":33,"sql":74,"python":33,"datadog":32,"grafana":33,"langfuse":74,"terraform":33,"kubernetes":32,"prometheus":33,"opentelemetry":33,"cloudformation":33},[38,41,190,191,192,193,194,77,195,196,35,110],"Datadog","Prometheus","Grafana","ELK","OpenTelemetry","CloudFormation","Langfuse",{"slos":32,"finops":33,"error budgets":32,"generative ai":74,"observability":32,"cloud security":32,"vector databases":74,"ai\u002Fml integration":33,"rag architectures":74,"incident management":32,"site reliability engineering":32},[199,82,93,200,201,202,203,204,205,206,207],"Site Reliability Engineering","SLOs","Error Budgets","Cloud Security","FinOps","AI\u002FML Integration","RAG Architectures","Vector Databases","Generative AI",{"id":209,"slug":210,"title":211,"raw_title":5,"is_featured":15,"company":212,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":213,"processed_country_iso_code_gmaps":214,"processed_home_office":23,"processed_salary_min":70,"processed_salary_max":105,"processed_salary_currency":71,"processed_salary_source":27,"processed_working_hours":215,"processed_employment_types":30,"processed_it_skills":216,"processed_it_skills_labels":217,"processed_job_expertise_skills":229,"processed_job_expertise_skills_labels":230,"max_cpc":61,"actual_cpc":61},59975,"senior-engineer-site-reliability-engineering-phl006-refinitiv-asia-pte-ltd-philippine-branch","Senior Engineer - Site Reliability Engineering",{"name":17,"slug":18,"logo_url":5},[20],[22],[29],{"apm":32,"aws":32,"ec2":32,"ecs":32,"eks":32,"iam":32,"bash":33,"azure":33,"ci\u002Fcd":33,"linux":32,"docker":33,"python":33,"datadog":32,"terraform":33,"kubernetes":32,"networking":32,"generative ai":74,"llm platforms":74,"logging tools":32,"alerting tools":32,"cloudformation":33,"monitoring tools":32,"vector databases":74,"rag architectures":74},[38,39,218,190,77,195,41,40,35,78,76,219,220,221,222,223,224,225,226,227,207,228,206,205],"Linux","Monitoring Tools","Logging Tools","Alerting Tools","APM","IAM","Networking","EKS","ECS","EC2","LLM Platforms",{"slos":32,"compliance":33,"multi-cloud":33,"architecture":32,"error budgets":32,"observability":32,"system design":32,"cloud security":32,"infrastructure":32,"risk management":33,"performance tuning":32,"hybrid environments":33,"incident management":32,"platform engineering":32,"regulated environments":33,"resilience engineering":32,"cloud cost optimization":32,"site reliability engineering":32},[199,231,232,82,200,201,93,202,233,234,50,235,236,237,238,239,240,241],"Platform Engineering","Infrastructure","Cloud Cost Optimization","System Design","Compliance","Risk Management","Performance Tuning","Resilience Engineering","Multi-cloud","Hybrid Environments","Regulated Environments",{"id":243,"slug":244,"title":245,"raw_title":5,"is_featured":15,"company":246,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":247,"processed_country_iso_code_gmaps":248,"processed_home_office":23,"processed_salary_min":69,"processed_salary_max":70,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":249,"processed_employment_types":30,"processed_it_skills":250,"processed_it_skills_labels":251,"processed_job_expertise_skills":254,"processed_job_expertise_skills_labels":255,"max_cpc":61,"actual_cpc":61},59939,"data-scientist-phl006-refinitiv-asia-pte-ltd-philippine-branch","Data Scientist",{"name":17,"slug":18,"logo_url":5},[20],[22],[29],{"r":33,"sql":32,"python":32,"power bi":33,"power automate":74},[35,109,110,252,253],"Power BI","Power Automate",{"algorithms":32,"automation":33,"statistics":32,"data analysis":32,"data wrangling":32,"machine learning":32,"metrics creation":33,"business understanding":32,"artificial intelligence ethics":33},[177,256,257,153,258,259,260,261,262],"Data Wrangling","Statistics","Algorithms","Business Understanding","Automation","Metrics Creation","Artificial Intelligence Ethics",{"id":264,"slug":265,"title":266,"raw_title":5,"is_featured":15,"company":267,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":270,"processed_country_iso_code_gmaps":272,"processed_home_office":23,"processed_salary_min":69,"processed_salary_max":70,"processed_salary_currency":71,"processed_salary_source":27,"processed_working_hours":273,"processed_employment_types":30,"processed_it_skills":274,"processed_it_skills_labels":275,"processed_job_expertise_skills":280,"processed_job_expertise_skills_labels":281,"max_cpc":61,"actual_cpc":61},63099,"data-analytics-expert-pluk-pru-life-of-uk-philippines","Data Analytics Expert",{"name":268,"slug":269,"logo_url":5},"PRU LIFE of U.K. (Philippines)","pru-life-of-uk-philippines",[271],"Makati City",[22],[29],{"r":33,"dax":33,"python":33,"powerbi":32,"powerpoint":74,"microsoft excel":33},[276,277,278,35,109,279],"Microsoft Excel","PowerPoint","PowerBI","DAX",{"data mining":33,"risk analysis":33,"data governance":74,"design thinking":74,"machine learning":74,"linear regression":33,"data visualization":32,"hypothesis testing":33,"predictive analytics":32,"descriptive analytics":32,"prescriptive analytics":33},[282,283,284,285,286,153,287,288,289,290,291],"Descriptive Analytics","Predictive Analytics","Prescriptive Analytics","Hypothesis Testing","Linear Regression","Data Visualization","Data Mining","Risk Analysis","Design Thinking","Data Governance",{"id":293,"slug":294,"title":295,"raw_title":5,"is_featured":15,"company":296,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":297,"processed_country_iso_code_gmaps":298,"processed_home_office":299,"processed_salary_min":300,"processed_salary_max":69,"processed_salary_currency":71,"processed_salary_source":27,"processed_working_hours":301,"processed_employment_types":30,"processed_it_skills":302,"processed_it_skills_labels":303,"processed_job_expertise_skills":304,"processed_job_expertise_skills_labels":305,"max_cpc":61,"actual_cpc":61},59933,"business-operations-phl006-refinitiv-asia-pte-ltd-philippine-branch","Business Operations",{"name":17,"slug":18,"logo_url":5},[20],[22],"hybrid",40000,[29],{"sql":74,"jira":74,"excel":33,"python":74},[172,35,110,83],{"qa testing":33,"data analysis":32,"investment banking knowledge":74,"financial products and derivatives":74},[177,178,161,179],{"id":307,"slug":308,"title":309,"raw_title":5,"is_featured":15,"company":310,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":311,"processed_country_iso_code_gmaps":312,"processed_home_office":23,"processed_salary_min":313,"processed_salary_max":314,"processed_salary_currency":71,"processed_salary_source":27,"processed_working_hours":315,"processed_employment_types":30,"processed_it_skills":316,"processed_it_skills_labels":317,"processed_job_expertise_skills":319,"processed_job_expertise_skills_labels":320,"max_cpc":61,"actual_cpc":61},59956,"principal-ai-engineer-phl006-refinitiv-asia-pte-ltd-philippine-branch","Principal AI Engineer",{"name":17,"slug":18,"logo_url":5},[20],[22],120000,180000,[29],{"aws":33,"gcp":33,"java":32,"azure":33,"ci\u002Fcd":33,"docker":33,"python":32,"langfuse":33,"kubernetes":33},[36,35,40,41,38,39,318,76,196],"GCP",{"rag":32,"ai ops":32,"security":32,"api design":32,"fine-tuning":32,"microservices":32,"observability":32,"model deployment":32,"vector databases":32,"cost optimization":33,"prompt engineering":32,"system architecture":32,"event-driven patterns":32,"infrastructure as code":33},[321,51,52,322,56,55,323,324,206,82,325,326,90,327],"System Architecture","Event-Driven Patterns","Fine-tuning","Model Deployment","AI Ops","Security","Cost Optimization",{"id":329,"slug":330,"title":331,"raw_title":5,"is_featured":15,"company":332,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":335,"processed_country_iso_code_gmaps":337,"processed_home_office":299,"processed_salary_min":69,"processed_salary_max":70,"processed_salary_currency":71,"processed_salary_source":27,"processed_working_hours":338,"processed_employment_types":30,"processed_it_skills":339,"processed_it_skills_labels":340,"processed_job_expertise_skills":345,"processed_job_expertise_skills_labels":346,"max_cpc":61,"actual_cpc":61},72159,"tdi-business-functional-analyst-avp-9019-deutsche-knowledge-services-pte-ltd-manila-branch","TDI - Business Functional Analyst - AVP",{"name":333,"slug":334,"logo_url":5},"9019 Deutsche Knowledge Services Pte. Ltd., Manila Branch","9019-deutsche-knowledge-services-pte-ltd-manila-branch",[336],"Manila",[22],[29],{"sql":74,"ai\u002Fml":74,"axiom":74,"python":74,"tableau":74,"sap business objects":74},[110,35,341,342,343,344],"Tableau","SAP Business Objects","Axiom","AI\u002FML",{"testing":33,"it delivery":33,"mi reporting":32,"data analysis":32,"data modelling":32,"risk management":33,"agile methodology":33,"change management":33,"quality assurance":33,"project management":33,"financial reporting":32,"regulatory reporting":32,"architecture knowledge":33,"requirement definition":33,"user experience design":33,"business process modelling":32,"business functional analysis":32},[347,348,349,350,177,351,352,353,354,236,355,356,357,358,359,360,361],"Business Functional Analysis","Financial Reporting","Regulatory Reporting","MI Reporting","Data Modelling","Business Process Modelling","Agile Methodology","Project Management","IT Delivery","Architecture Knowledge","Testing","Requirement Definition","User Experience Design","Change Management","Quality Assurance",{"id":363,"slug":364,"title":365,"raw_title":5,"is_featured":15,"company":366,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":367,"processed_country_iso_code_gmaps":368,"processed_home_office":23,"processed_salary_min":369,"processed_salary_max":313,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":370,"processed_employment_types":30,"processed_it_skills":371,"processed_it_skills_labels":372,"processed_job_expertise_skills":374,"processed_job_expertise_skills_labels":375,"max_cpc":61,"actual_cpc":61},59963,"senior-ai-engineer-phl006-refinitiv-asia-pte-ltd-philippine-branch","Senior AI Engineer",{"name":17,"slug":18,"logo_url":5},[20],[22],80000,[29],{"aws":33,"gcp":33,"java":32,"azure":33,"ci\u002Fcd":33,"docker":33,"python":32,"langfuse":33,"kubernetes":33,"observability":33,"vector databases":33,"infrastructure-as-code":33},[36,35,38,39,318,40,41,76,373,82,206,196],"Infrastructure-as-Code",{"rag":32,"security":33,"agentic ai":33,"api design":32,"compliance":33,"microservices":32,"llm integration":32,"model deployment":33,"automated testing":32,"cost optimization":33,"model fine-tuning":33,"performance tuning":32,"prompt engineering":32,"technical strategy":32,"distributed systems":32,"root cause analysis":32,"system architecture":32,"software engineering":32,"event-driven patterns":33,"ai evaluation frameworks":32,"architectural decision making":32},[376,321,377,51,52,322,56,378,55,379,380,324,381,382,237,383,326,235,327,384,385],"Software Engineering","Distributed Systems","LLM Integration","Agentic AI","Model Fine-Tuning","AI Evaluation Frameworks","Automated Testing","Root Cause Analysis","Technical Strategy","Architectural Decision Making",{"id":387,"slug":388,"title":389,"raw_title":5,"is_featured":15,"company":390,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":391,"processed_country_iso_code_gmaps":392,"processed_home_office":299,"processed_salary_min":393,"processed_salary_max":394,"processed_salary_currency":71,"processed_salary_source":27,"processed_working_hours":395,"processed_employment_types":30,"processed_it_skills":396,"processed_it_skills_labels":397,"processed_job_expertise_skills":401,"processed_job_expertise_skills_labels":402,"max_cpc":61,"actual_cpc":61},72166,"treasury-and-business-finance-financial-control-and-analysis-associate-9019-deutsche-knowledge-services-pte-ltd-manila-branch","Treasury and Business Finance – Financial Control and Analysis Associate",{"name":333,"slug":334,"logo_url":5},[336],[22],600000,900000,[29],{"python":74,"alteryx":74,"tableau":74,"visual basic":74,"visual basic for applications":74},[398,399,35,341,400],"Visual Basic for Applications","Visual Basic","Alteryx",{"ias":33,"us-gaap":33,"automation":33,"balance sheet":32,"general ledger":32,"reconciliation":32,"profit and loss":32,"hedge accounting":32,"financial control":32,"financial analysis":32,"financial products":33,"process improvement":32},[403,404,405,406,407,408,409,410,411,412,413,260],"Financial Control","Financial Analysis","Reconciliation","General Ledger","Balance Sheet","Profit and Loss","Hedge Accounting","US-GAAP","IAS","Financial Products","Process Improvement",{"id":415,"slug":416,"title":417,"raw_title":5,"is_featured":15,"company":418,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":419,"processed_country_iso_code_gmaps":420,"processed_home_office":23,"processed_salary_min":421,"processed_salary_max":422,"processed_salary_currency":71,"processed_salary_source":27,"processed_working_hours":423,"processed_employment_types":30,"processed_it_skills":424,"processed_it_skills_labels":425,"processed_job_expertise_skills":426,"processed_job_expertise_skills_labels":427,"max_cpc":61,"actual_cpc":61},72142,"business-finance-revenue-controller-avp-9019-deutsche-knowledge-services-pte-ltd-manila-branch","Business Finance – Revenue Controller – AVP",{"name":333,"slug":334,"logo_url":5},[336],[22],1500000,2500000,[29],{"sql":74,"excel":33,"python":74},[172,110,35],{"product control":32,"risk management":32,"people management":33,"financial reporting":32,"accounting standards":32,"process optimization":33,"regulatory reporting":32,"general ledger accounting":32,"investment banking products":32,"balance sheet substantiation":32,"profit and loss (p&l) reporting":32},[428,236,429,348,430,431,432,433,349,434,435],"Profit and Loss (P&L) Reporting","Product Control","Accounting Standards","Balance Sheet Substantiation","General Ledger Accounting","People Management","Investment Banking Products","Process Optimization",{"id":437,"slug":438,"title":439,"raw_title":5,"is_featured":15,"company":440,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":441,"processed_country_iso_code_gmaps":442,"processed_home_office":299,"processed_salary_min":69,"processed_salary_max":70,"processed_salary_currency":71,"processed_salary_source":27,"processed_working_hours":443,"processed_employment_types":30,"processed_it_skills":444,"processed_it_skills_labels":445,"processed_job_expertise_skills":447,"processed_job_expertise_skills_labels":448,"max_cpc":61,"actual_cpc":452},72361,"treasury-finance-hedge-accounting-and-financial-control-avp-9019-deutsche-knowledge-services-pte-ltd-manila-branch","Treasury Finance - Hedge Accounting and Financial Control - AVP",{"name":333,"slug":334,"logo_url":5},[336],[22],[29],{"python":33,"alteryx":33,"tableau":33,"visual basic":33,"microsoft excel":32,"microsoft office":33,"visual basic for applications":33},[276,398,399,35,341,400,446],"Microsoft Office",{"ias":33,"ifrs":33,"us-gaap":33,"reconciliation":32,"risk management":32,"hedge accounting":32,"financial control":32,"project management":33,"financial reporting":32,"profit and loss analysis":32,"balance sheet substantiation":32,"financial products knowledge":32},[409,403,348,410,411,449,236,450,431,405,451,354],"IFRS","Profit and Loss Analysis","Financial Products Knowledge",0.2,{"industry":454,"employment_type":491,"expertise_skills":495,"it_skills":554,"salary_currency":618,"processed_working_hours":624},[455,459,463,467,471,475,479,482,485,488],{"key":456,"label":457,"count":458},"financial markets infrastructure","Financial Markets Infrastructure",20,{"key":460,"label":461,"count":462},"insurance","Insurance",17,{"key":464,"label":465,"count":466},"financial services","Financial Services",15,{"key":468,"label":469,"count":470},"data","Data",12,{"key":472,"label":473,"count":474},"banking","Banking",10,{"key":476,"label":477,"count":478},"data provider","Data Provider",8,{"key":480,"label":481,"count":74},"asset management","Asset Management",{"key":483,"label":484,"count":74},"reinsurance","Reinsurance",{"key":486,"label":487,"count":61},"fund administration","Fund Administration",{"key":489,"label":490,"count":61},"middle office","Middle Office",[492],{"key":30,"label":493,"count":494},"PERMANENT",52,[496,499,502,504,507,509,511,513,516,518,520,523,525,527,530,533,535,538,540,542,545,548,550,552],{"key":497,"label":177,"slug":497,"count":498},"data-analysis",11,{"key":500,"label":93,"slug":500,"count":501},"incident-management",9,{"key":503,"label":287,"slug":503,"count":478},"data-visualization",{"key":505,"label":116,"slug":505,"count":506},"data-analytics",7,{"key":508,"label":153,"slug":508,"count":506},"machine-learning",{"key":510,"label":291,"slug":510,"count":506},"data-governance",{"key":512,"label":413,"slug":512,"count":506},"process-improvement",{"key":514,"label":157,"slug":514,"count":515},"data-transformation",6,{"key":517,"label":60,"slug":517,"count":515},"data-engineering",{"key":519,"label":260,"slug":519,"count":515},"automation",{"key":521,"label":82,"slug":521,"count":522},"observability",5,{"key":524,"label":236,"slug":524,"count":522},"risk-management",{"key":526,"label":125,"slug":526,"count":522},"data-management",{"key":528,"label":529,"slug":528,"count":522},"rag","Rag",{"key":531,"label":532,"slug":531,"count":32},"api-design","Api Design",{"key":534,"label":56,"slug":534,"count":32},"prompt-engineering",{"key":536,"label":537,"slug":536,"count":32},"data-modeling","Data Modeling",{"key":539,"label":237,"slug":539,"count":32},"performance-tuning",{"key":541,"label":235,"slug":541,"count":32},"compliance",{"key":543,"label":544,"slug":543,"count":32},"actuarial-parameter-studies","Actuarial Parameter Studies",{"key":546,"label":547,"slug":546,"count":32},"tool-building","Tool Building",{"key":549,"label":117,"slug":549,"count":32},"feature-engineering",{"key":551,"label":128,"slug":551,"count":32},"entity-extraction",{"key":553,"label":349,"slug":553,"count":33},"regulatory-reporting",[555,557,560,564,566,570,573,576,579,581,583,585,587,589,591,593,595,598,601,604,607,610,613,615],{"key":556,"label":35,"slug":556,"count":9},"python",{"key":558,"label":110,"slug":558,"count":559},"sql",37,{"key":561,"label":562,"slug":561,"count":563},"aws","Aws",16,{"key":565,"label":79,"slug":565,"count":563},"git",{"key":567,"label":568,"slug":567,"count":569},"cicd","Ci\u002FCd",13,{"key":571,"label":572,"slug":571,"count":470},"ms-azure","MS Azure",{"key":574,"label":575,"slug":574,"count":470},"ms-excel","MS Excel",{"key":577,"label":578,"slug":577,"count":470},"ms-powerbi","MS PowerBI",{"key":580,"label":40,"slug":580,"count":498},"docker",{"key":582,"label":41,"slug":582,"count":474},"kubernetes",{"key":584,"label":341,"slug":584,"count":501},"tableau",{"key":586,"label":109,"slug":586,"count":478},"r",{"key":588,"label":47,"slug":588,"count":478},"snowflake",{"key":590,"label":78,"slug":590,"count":478},"bash",{"key":592,"label":36,"slug":592,"count":506},"java",{"key":594,"label":83,"slug":594,"count":506},"jira",{"key":596,"label":597,"slug":596,"count":506},"scikit-learn","Scikit-Learn",{"key":599,"label":600,"slug":599,"count":506},"azure-devops","Azure Devops",{"key":602,"label":603,"slug":602,"count":515},"ansible","Ansible",{"key":605,"label":606,"slug":605,"count":515},"ms-powerpoint","MS PowerPoint",{"key":608,"label":609,"slug":608,"count":515},"pytorch","Pytorch",{"key":611,"label":612,"slug":611,"count":515},"tensorflow","Tensorflow",{"key":614,"label":218,"slug":614,"count":522},"linux",{"key":616,"label":617,"slug":616,"count":522},"jenkins","Jenkins",[619,621,622],{"key":71,"label":71,"count":620},47,{"key":26,"label":26,"count":478},{"key":623,"label":623,"count":61},"GBP",[625],{"key":29,"label":29,"count":9},{"total":627,"jobs":628},0,[]]