[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-python-global":3,"job-search-\u002Fde\u002Fjobs-by-skill\u002Fpython?page=17":4,"featured-jobs-\u002Fde\u002Fjobs-by-skill\u002Fpython?page=17":708,"skill-page-filters-\u002Fde\u002Fjobs-by-skill\u002Fpython?page=17":710},{},{"total":5,"jobs":6},2099,[7,50,82,124,152,213,245,289,322,346,387,423,472,513,555,585,613,635,657,683],{"id":8,"slug":9,"title":10,"raw_title":11,"is_featured":12,"company":13,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":16,"processed_country_iso_code_gmaps":18,"processed_home_office":20,"processed_salary_min":21,"processed_salary_max":22,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":25,"processed_employment_types":27,"processed_it_skills":28,"processed_it_skills_labels":31,"processed_job_expertise_skills":38,"processed_job_expertise_skills_labels":39,"max_cpc":49,"actual_cpc":49},90350,"cib-ai-strategy-control-vice-president-bbva-red-exterior-de-oficinas","CIB AI Strategy & Control Vice President",null,false,{"name":14,"slug":15,"logo_url":11},"BBVA RED EXTERIOR DE OFICINAS","bbva-red-exterior-de-oficinas",[17],"New York",[19],"US","onsite",150000,190000,"USD","estimated",[26],"FULL_TIME","permanent",{"sql":29,"mlops":30,"python":29,"machine learning":29,"data visualization":30,"cloud data platforms":30},4,3,[32,33,34,35,36,37],"Python","SQL","Machine Learning","Data Visualization","Cloud Data Platforms","MLOps",{"data science":29,"responsible ai":30,"data governance":30,"experimentation":29,"model monitoring":30,"change management":30,"model documentation":30,"statistical analysis":29,"portfolio prioritization":30},[40,41,42,43,44,45,46,47,48],"Data Science","Statistical Analysis","Experimentation","Model Documentation","Model Monitoring","Responsible AI","Data Governance","Portfolio Prioritization","Change Management",1,{"id":51,"slug":52,"title":53,"raw_title":11,"is_featured":12,"company":54,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":57,"processed_country_iso_code_gmaps":59,"processed_home_office":61,"processed_salary_min":62,"processed_salary_max":63,"processed_salary_currency":64,"processed_salary_source":24,"processed_working_hours":65,"processed_employment_types":66,"processed_it_skills":67,"processed_it_skills_labels":68,"processed_job_expertise_skills":73,"processed_job_expertise_skills_labels":74,"max_cpc":49,"actual_cpc":49},91820,"business-analyst-co-op-canadian-imperial-bank-of-commerce-canada","Business Analyst co-op",{"name":55,"slug":56,"logo_url":11},"Canadian Imperial Bank of Commerce (Canada)","canadian-imperial-bank-of-commerce-canada",[58],"Toronto",[60],"CA","hybrid",40000,60000,"CAD",[26],"temporary",{"sql":30,"python":30,"microsoft excel":30,"microsoft office":30,"microsoft power bi":30,"microsoft power automate":30},[32,33,69,70,71,72],"Microsoft Excel","Microsoft Power Automate","Microsoft Power BI","Microsoft Office",{"automation":30,"data strategy":30,"data analytics":29,"data enablement":30,"banking processes":30,"process documentation":30,"continuous improvement":30},[75,76,77,78,79,80,81],"Data Analytics","Data Enablement","Process Documentation","Automation","Continuous Improvement","Banking Processes","Data Strategy",{"id":83,"slug":84,"title":85,"raw_title":11,"is_featured":12,"company":86,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":89,"processed_country_iso_code_gmaps":90,"processed_home_office":20,"processed_salary_min":91,"processed_salary_max":92,"processed_salary_currency":64,"processed_salary_source":24,"processed_working_hours":93,"processed_employment_types":27,"processed_it_skills":94,"processed_it_skills_labels":96,"processed_job_expertise_skills":102,"processed_job_expertise_skills_labels":103,"max_cpc":49,"actual_cpc":49},98977,"senior-java-full-stack-engineer-td-securities-the-toronto-dominion-bank-canada","Senior Java Full Stack Engineer, TD Securities",{"name":87,"slug":88,"logo_url":11},"The Toronto-Dominion Bank (Canada)","the-toronto-dominion-bank-canada",[58],[60],126800,164100,[26],{"sql":29,"java":29,"react":29,"python":95,"spring boot":29,"restful apis":29,"microservices":29},2,[97,98,33,99,100,101,32],"Java","Spring Boot","RESTful APIs","Microservices","React",{"unit testing":29,"data modeling":29,"secure coding":29,"broadridge bps":29,"capital markets":30,"prime brokerage":30,"broadridge gloss":29,"broadridge impact":29,"production support":30,"query optimization":29,"regression testing":29,"securities finance":30,"agile methodologies":30,"data reconciliation":29,"incident management":30,"integration testing":29,"root cause analysis":30,"relational databases":29,"reference data management":29,"corporate actions processing":29},[104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123],"Relational Databases","Data Modeling","Query Optimization","Reference Data Management","Corporate Actions Processing","Data Reconciliation","Broadridge BPS","Broadridge Gloss","Broadridge Impact","Prime Brokerage","Securities Finance","Capital Markets","Secure Coding","Unit Testing","Integration Testing","Regression Testing","Incident Management","Root Cause Analysis","Production Support","Agile Methodologies",{"id":125,"slug":126,"title":127,"raw_title":11,"is_featured":12,"company":128,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":129,"processed_country_iso_code_gmaps":130,"processed_home_office":61,"processed_salary_min":131,"processed_salary_max":132,"processed_salary_currency":64,"processed_salary_source":24,"processed_working_hours":133,"processed_employment_types":66,"processed_it_skills":134,"processed_it_skills_labels":135,"processed_job_expertise_skills":145,"processed_job_expertise_skills_labels":146,"max_cpc":49,"actual_cpc":49},91800,"ai-scientist-co-op-canadian-imperial-bank-of-commerce-canada","AI Scientist Co-op",{"name":55,"slug":56,"logo_url":11},[58],[60],50000,70000,[26],{"aks":95,"git":95,"sql":30,"azure":95,"spark":95,"docker":95,"python":30,"pyspark":95,"databricks":95,"kubernetes":95,"generative ai":95,"machine learning":30},[32,33,34,136,137,138,139,140,141,142,143,144],"Generative AI","Databricks","Azure","Docker","Kubernetes","AKS","Spark","PySpark","Git",{"statistics":30,"data analysis":30,"model deployment":95,"application development":95,"optimization techniques":95},[147,148,149,150,151],"Statistics","Optimization Techniques","Application Development","Model Deployment","Data Analysis",{"id":153,"slug":154,"title":155,"raw_title":11,"is_featured":12,"company":156,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":160,"processed_country_iso_code_gmaps":164,"processed_home_office":61,"processed_salary_min":166,"processed_salary_max":167,"processed_salary_currency":168,"processed_salary_source":24,"processed_working_hours":169,"processed_employment_types":27,"processed_it_skills":170,"processed_it_skills_labels":171,"processed_job_expertise_skills":190,"processed_job_expertise_skills_labels":191,"max_cpc":49,"actual_cpc":49},91140,"senior-analyst-it-information-security-security-incident-response-management3377-allianz-insurance","Senior Analyst-IT & Information Security-Security Incident Response Management_3377",{"name":157,"slug":158,"logo_url":159},"Allianz Insurance","allianz-insurance","https:\u002F\u002Fcdn.phenompeople.com\u002FCareerConnectResources\u002FAISAIPGB\u002Fimages\u002FHeader-1706868786965.svg",[161,162,163],"PUNE","Trivandrum","Sindewahi",[165],"IN",80000,120000,"EUR",[26],{"aws":30,"gcp":30,"sql":30,"yara":30,"azure":30,"excel":30,"sigma":30,"snort":30,"encase":30,"github":30,"python":29,"splunk":30,"autopsy":30,"elastic":30,"powerbi":30,"kubernetes":30,"powershell":29,"volatility":30,"crowdstrike":30,"sentinelone":30,"sysinternals suite":30,"kql\u002Fazure data explorer":30},[32,172,33,173,174,175,138,176,177,140,178,179,180,181,182,183,184,185,186,187,188,189],"PowerShell","KQL\u002FAzure Data Explorer","Excel","PowerBI","AWS","GCP","GitHub","YARA","SIGMA","Snort","Splunk","Elastic","CrowdStrike","SentinelOne","Volatility","EnCase","Autopsy","Sysinternals Suite",{"dlp":30,"edr":30,"siem":30,"log analysis":29,"mitre att&ck":29,"data analysis":29,"generative ai":95,"cloud security":30,"cyber security":29,"threat hunting":29,"ai technologies":95,"report building":30,"malware analysis":29,"network security":29,"threat detection":29,"digital forensics":29,"incident response":29,"alerting workflows":30,"container security":30,"attacker kill chain":29,"security operations":29,"business intelligence":30,"automation and orchestration":29},[192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,151,209,210,211,212,136],"Cyber Security","Threat Detection","Incident Response","Digital Forensics","Threat Hunting","Malware Analysis","Network Security","Security Operations","Automation and Orchestration","SIEM","EDR","DLP","MITRE ATT&CK","Attacker Kill Chain","Cloud Security","Container Security","Log Analysis","Report Building","Alerting Workflows","Business Intelligence","AI Technologies",{"id":214,"slug":215,"title":216,"raw_title":11,"is_featured":12,"company":217,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":221,"processed_country_iso_code_gmaps":222,"processed_home_office":20,"processed_salary_min":63,"processed_salary_max":224,"processed_salary_currency":225,"processed_salary_source":24,"processed_working_hours":226,"processed_employment_types":27,"processed_it_skills":227,"processed_it_skills_labels":228,"processed_job_expertise_skills":232,"processed_job_expertise_skills_labels":233,"max_cpc":49,"actual_cpc":49},96928,"data-analytics-spec-i-modelos-estatisticos-banco-santander-brasil-sa","Data & Analytics Spec I - Modelos estatísticos",{"name":218,"slug":219,"logo_url":220},"Banco Santander (Brasil) S.A.","banco-santander-brasil-sa","\u002Fimages\u002Flogos\u002Fsantander-logo-2018.svg",[],[223],"BR",90000,"BRL",[26],{"git":95,"sql":30,"numpy":95,"spark":95,"pandas":95,"python":30,"pyspark":95,"databricks":95,"scikit-learn":95},[32,33,229,230,231,142,143,137,144],"Pandas","NumPy","Scikit-Learn",{"pd":95,"ead":95,"ecl":95,"lgd":95,"ifrs 9":95,"cmn 4.966":95,"regression":95,"backtesting":95,"data engineering":95,"machine learning":95,"credit risk modeling":95,"statistical modeling":30},[234,235,236,237,238,239,240,241,34,242,243,244],"Statistical Modeling","Credit Risk Modeling","PD","LGD","EAD","ECL","IFRS 9","CMN 4.966","Data Engineering","Backtesting","Regression",{"id":246,"slug":247,"title":248,"raw_title":11,"is_featured":12,"company":249,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":250,"processed_country_iso_code_gmaps":251,"processed_home_office":20,"processed_salary_min":252,"processed_salary_max":253,"processed_salary_currency":64,"processed_salary_source":24,"processed_working_hours":254,"processed_employment_types":27,"processed_it_skills":255,"processed_it_skills_labels":256,"processed_job_expertise_skills":272,"processed_job_expertise_skills_labels":273,"max_cpc":49,"actual_cpc":49},98873,"java-developer-td-securities-the-toronto-dominion-bank-canada-3","Java Developer, TD Securities",{"name":87,"slug":88,"logo_url":11},[58],[60],105100,129400,[26],{"c#":95,"git":30,"jee":29,"sql":30,".net":95,"hive":30,"java":29,"ci\u002Fcd":30,"linux":30,"nosql":30,"scala":30,"spark":30,"devops":30,"hadoop":30,"python":30,"angular":95,"cassandra":30,"rest apis":30,"databricks":95,"spring boot":30,"ms sql server":30,"cloud platforms":95},[97,257,142,258,32,259,260,261,262,98,263,264,265,33,144,266,267,268,269,270,137,271],"JEE","Scala","Hadoop","Hive","Cassandra","NoSQL","REST APIs","Angular","MS SQL Server","Linux","CI\u002FCD","DevOps",".NET","C#","Cloud platforms",{"big data":30,"derivatives":95,"market risk":95,"code reviews":30,"trading risk":95,"unit testing":30,"pnl reporting":95,"capital markets":95,"risk management":95,"troubleshooting":30,"agile methodologies":30,"distributed systems":30,"integration testing":30,"software development":29,"user acceptance testing":30,"data processing pipelines":30,"microservices architecture":30,"software design principles":30,"object-oriented programming":29},[274,275,276,277,278,279,280,117,118,281,282,283,123,115,284,285,286,287,288],"Software Development","Object-Oriented Programming","Big Data","Data Processing Pipelines","Microservices Architecture","Distributed Systems","Software Design Principles","User Acceptance Testing","Troubleshooting","Code Reviews","Risk Management","Derivatives","Market Risk","Trading Risk","PnL Reporting",{"id":290,"slug":291,"title":292,"raw_title":11,"is_featured":12,"company":293,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":296,"processed_country_iso_code_gmaps":298,"processed_home_office":20,"processed_salary_min":299,"processed_salary_max":300,"processed_salary_currency":301,"processed_salary_source":24,"processed_working_hours":302,"processed_employment_types":27,"processed_it_skills":303,"processed_it_skills_labels":304,"processed_job_expertise_skills":306,"processed_job_expertise_skills_labels":307,"max_cpc":49,"actual_cpc":49},92408,"risk-specialist-as-9478-deutsche-india-private-limited","Risk Specialist, AS",{"name":294,"slug":295,"logo_url":11},"9478 Deutsche India Private Limited","9478-deutsche-india-private-limited",[297],"Mumbai",[165],3000000,5000000,"INR",[26],{"python":30,"ms office":29},[32,305],"MS Office",{"var":29,"ai tools":30,"automation":30,"spv repack":29,"derivatives":29,"back-testing":29,"credit hedging":29,"stress testing":29,"risk management":29,"scenario analysis":29,"structured products":29,"regulatory knowledge":29,"methodology oversight":29,"product risk analysis":29,"portfolio risk analysis":29,"counterparty credit risk":29,"potential future exposure (pfe)":29},[308,284,285,309,310,311,312,313,314,315,316,317,318,319,320,78,321],"Counterparty Credit Risk","Structured Products","Back-testing","Scenario Analysis","Stress Testing","VAR","Potential Future Exposure (PFE)","Credit Hedging","Regulatory Knowledge","Product Risk Analysis","Portfolio Risk Analysis","Methodology Oversight","SPV Repack","AI Tools",{"id":323,"slug":324,"title":325,"raw_title":11,"is_featured":12,"company":326,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":329,"processed_country_iso_code_gmaps":331,"processed_home_office":20,"processed_salary_min":333,"processed_salary_max":131,"processed_salary_currency":334,"processed_salary_source":24,"processed_working_hours":335,"processed_employment_types":27,"processed_it_skills":336,"processed_it_skills_labels":337,"processed_job_expertise_skills":339,"processed_job_expertise_skills_labels":340,"max_cpc":49,"actual_cpc":49},90205,"associate-data-next-gen-ciudad-de-mexico-miguel-hidalgo-bbva-mexico-sa","Associate Data Next Gen (Ciudad de México, Miguel Hidalgo)",{"name":327,"slug":328,"logo_url":11},"BBVA MÉXICO S.A.","bbva-mexico-sa",[330],"Ciudad de México",[332],"MX",30000,"MXN",[26],{"aws":95,"scala":95,"scrum":95,"python":29},[32,176,258,338],"Scrum",{"data engineering":30,"data architecture":30,"backlog management":30,"agile methodologies":95,"semantic layer modeling":95,"technical debt management":30,"financial domain knowledge":95},[242,123,341,342,343,344,345],"Financial Domain Knowledge","Data Architecture","Backlog Management","Technical Debt Management","Semantic Layer Modeling",{"id":347,"slug":348,"title":349,"raw_title":11,"is_featured":12,"company":350,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":353,"processed_country_iso_code_gmaps":355,"processed_home_office":61,"processed_salary_min":356,"processed_salary_max":357,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":358,"processed_employment_types":27,"processed_it_skills":359,"processed_it_skills_labels":360,"processed_job_expertise_skills":373,"processed_job_expertise_skills_labels":374,"max_cpc":49,"actual_cpc":49},95604,"cloud-engineering-vice-president-mufg-bank-ltd","Cloud Engineering, Vice President",{"name":351,"slug":352,"logo_url":11},"MUFG Bank, Ltd.","mufg-bank-ltd",[354],"Jersey City",[19],159000,194000,[26],{"aws":29,"iam":29,"oci":29,"bash":30,"azure":29,"ci\u002Fcd":29,"python":30,"jenkins":29,"terraform":29,"cloudwatch":30,"networking":29,"powershell":30,"azure devops":29,"azure monitor":30,"github actions":29,"oci observability":30,"security engineering":29},[176,138,361,362,32,172,363,364,365,366,267,367,368,369,370,371,372],"OCI","Terraform","Bash","Azure DevOps","GitHub Actions","Jenkins","IAM","Networking","Security Engineering","CloudWatch","Azure Monitor","OCI Observability",{"automation":29,"documentation":29,"observability":29,"cloud networking":29,"cloud engineering":29,"cost optimization":29,"incident analysis":29,"infrastructure as code":29,"multi-cloud governance":29,"security and compliance":29,"landing zone engineering":29,"infrastructure engineering":29,"environment standardization":29},[375,376,377,378,379,380,78,381,382,383,384,385,386],"Infrastructure Engineering","Cloud Engineering","Infrastructure as Code","Multi-cloud Governance","Landing Zone Engineering","Environment Standardization","Security and Compliance","Cloud Networking","Observability","Incident Analysis","Cost Optimization","Documentation",{"id":388,"slug":389,"title":390,"raw_title":11,"is_featured":12,"company":391,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":392,"processed_country_iso_code_gmaps":393,"processed_home_office":20,"processed_salary_min":394,"processed_salary_max":395,"processed_salary_currency":64,"processed_salary_source":24,"processed_working_hours":396,"processed_employment_types":27,"processed_it_skills":397,"processed_it_skills_labels":398,"processed_job_expertise_skills":403,"processed_job_expertise_skills_labels":404,"max_cpc":49,"actual_cpc":49},98906,"manager-business-systems-analysis-td-securities-the-toronto-dominion-bank-canada","Manager, Business Systems Analysis, TD Securities",{"name":87,"slug":88,"logo_url":11},[58],[60],96900,136800,[26],{"sql":30,"java":30,"jira":30,"visio":30,"python":30,"bitbucket":30,"rest apis":30,"confluence":30,"microsoft office":30},[33,97,32,72,399,400,401,402,263],"Visio","JIRA","Confluence","Bitbucket",{"scrum":29,"credit risk":30,"test design":29,"documentation":29,"pricing trades":29,"capital markets":30,"otc derivatives":29,"p&l attribution":29,"p&l calculation":29,"systems analysis":29,"agile methodology":29,"vendor management":30,"financial modeling":30,"project management":30,"test case development":29,"test plan development":29,"requirements management":29,"user acceptance testing":29,"business process modeling":29,"business requirements gathering":29,"potential future exposure (pfe)":29,"credit valuation adjustment (cva)":29,"funding valuation adjustment (fva)":29},[405,406,386,407,408,409,314,410,411,412,115,413,414,338,281,415,416,417,418,419,420,421,422],"Business Requirements Gathering","Business Process Modeling","OTC Derivatives","Pricing Trades","P&L Calculation","Credit Valuation Adjustment (CVA)","Funding Valuation Adjustment (FVA)","P&L Attribution","Credit Risk","Agile Methodology","Test Design","Test Case Development","Test Plan Development","Project Management","Financial Modeling","Systems Analysis","Requirements Management","Vendor Management",{"id":424,"slug":425,"title":426,"raw_title":11,"is_featured":12,"company":427,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":430,"processed_country_iso_code_gmaps":432,"processed_home_office":61,"processed_salary_min":433,"processed_salary_max":434,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":435,"processed_employment_types":27,"processed_it_skills":436,"processed_it_skills_labels":437,"processed_job_expertise_skills":458,"processed_job_expertise_skills_labels":459,"max_cpc":49,"actual_cpc":49},94336,"senior-data-engineer-merastar-insurance-company","Senior Data Engineer",{"name":428,"slug":429,"logo_url":11},"Merastar Insurance Company","merastar-insurance-company",[431],"Chicago",[19],99000,164800,[26],{"aws":29,"msk":95,"sql":29,"soda":95,"kafka":95,"spark":30,"python":29,"airflow":30,"alation":95,"datadog":95,"kinesis":95,"pentaho":95,"aws glue":30,"collibra":95,"datafold":95,"snowpark":95,"control-m":30,"gitlab ci":95,"snowflake":29,"terraform":95,"cloudwatch":95,"monte carlo":95,"azure devops":95,"cloudformation":95,"github actions":95,"informatica idmc":30,"great expectations":95,"informatica powercenter":30},[438,176,32,142,439,440,441,33,442,443,444,445,446,362,447,365,448,364,449,450,370,451,452,453,454,455,456,457],"Snowflake","Informatica PowerCenter","Informatica IDMC","AWS Glue","Control-M","Airflow","Kafka","Kinesis","MSK","CloudFormation","GitLab CI","Snowpark","Datadog","Great Expectations","Monte Carlo","Datafold","Soda","Alation","Collibra","Pentaho",{"elt":29,"etl":29,"mlops":95,"devops":30,"dataops":30,"streaming":95,"data quality":30,"orchestration":30,"data vault 2.0":29,"data governance":30,"data engineering":29,"data warehousing":29,"data architecture":29,"cloud architecture":29,"performance tuning":29,"dimensional modeling":29,"insurance industry knowledge":30},[242,342,460,461,462,463,464,465,46,466,467,468,268,469,37,470,471],"Data Vault 2.0","Dimensional Modeling","ELT","ETL","Data Warehousing","Cloud Architecture","Data Quality","Performance Tuning","Orchestration","DataOps","Streaming","Insurance Industry Knowledge",{"id":473,"slug":474,"title":475,"raw_title":11,"is_featured":12,"company":476,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":479,"processed_country_iso_code_gmaps":480,"processed_home_office":20,"processed_salary_min":481,"processed_salary_max":482,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":483,"processed_employment_types":27,"processed_it_skills":484,"processed_it_skills_labels":485,"processed_job_expertise_skills":489,"processed_job_expertise_skills_labels":490,"max_cpc":49,"actual_cpc":49},90506,"intraday-liquidity-analyst-bank-of-montreal-2","Intraday Liquidity Analyst",{"name":477,"slug":478,"logo_url":11},"Bank of Montreal","bank-of-montreal",[431],[19],65000,140000,[26],{"r":95,"sql":29,"vba":30,"excel":29,"access":30,"python":95},[174,486,33,487,32,488],"Access","VBA","R",{"pricing":29,"reporting":29,"algorithms":30,"automation":29,"valuations":29,"a\u002Fb testing":30,"policy input":29,"data analysis":29,"stress testing":29,"risk management":29,"dashboard design":29,"data acquisition":29,"machine learning":30,"hedging strategies":29,"statistical analysis":29,"model risk governance":29,"quantitative modeling":29,"strategic initiatives":29,"market risk management":29,"structural market risk":29,"performance measurement":29,"balance sheet management":29,"customer behavior models":29,"financial market products":29,"asset liability management":29,"quantitative risk modeling":29,"net interest income analysis":29,"financial instrument transaction oversight":29},[491,492,493,41,494,284,495,496,497,498,312,499,500,501,502,503,504,151,505,506,78,507,508,509,510,511,34,512],"Quantitative Risk Modeling","Market Risk Management","Structural Market Risk","Quantitative Modeling","Financial Market Products","Pricing","Balance Sheet Management","Asset Liability Management","Net Interest Income Analysis","Hedging Strategies","Valuations","Customer Behavior Models","Performance Measurement","Data Acquisition","Reporting","Dashboard Design","Model Risk Governance","Financial Instrument Transaction Oversight","Policy Input","Strategic Initiatives","A\u002FB Testing","Algorithms",{"id":514,"slug":515,"title":516,"raw_title":11,"is_featured":12,"company":517,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":520,"processed_country_iso_code_gmaps":522,"processed_home_office":61,"processed_salary_min":63,"processed_salary_max":224,"processed_salary_currency":168,"processed_salary_source":24,"processed_working_hours":524,"processed_employment_types":27,"processed_it_skills":525,"processed_it_skills_labels":526,"processed_job_expertise_skills":543,"processed_job_expertise_skills_labels":544,"max_cpc":49,"actual_cpc":49},96799,"systems-integrations-lead-platform-enablement-banco-santander-sa","Systems & Integrations Lead (Platform & Enablement)",{"name":518,"slug":519,"logo_url":220},"Banco Santander S.A.","banco-santander-sa",[521],"Madrid",[523],"ES",[26],{"jwt":29,"sql":29,"oidc":29,"rbac":29,"react":95,"oauth2":29,"python":29,"fastapi":30,"postgresql":29,"typescript":95,"tool calling":30,"amazon bedrock":30,"api versioning":29,"error handling":29,"llm integration":29,"rest api design":29,"agent orchestration":30,"agentic architectures":30,"microsoft entra id (azure ad)":29},[32,527,33,528,529,530,531,532,533,534,535,536,537,538,539,101,540,541,542],"FastAPI","PostgreSQL","OAuth2","OIDC","JWT","Microsoft Entra ID (Azure AD)","RBAC","REST API design","API versioning","Error handling","LLM integration","Amazon Bedrock","TypeScript","Agentic architectures","Tool calling","Agent orchestration",{"dora":95,"gdpr":95,"data integration":29,"api contract design":29,"backend development":29,"systems engineering":29,"integration architecture":29,"banking access segregation":95,"financial entity experience":95,"identity and access management":29},[545,546,547,548,549,550,551,552,553,554],"Backend development","Integration architecture","Systems engineering","Identity and access management","API contract design","Data integration","GDPR","DORA","Banking access segregation","Financial entity experience",{"id":556,"slug":557,"title":558,"raw_title":11,"is_featured":12,"company":559,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":560,"processed_country_iso_code_gmaps":562,"processed_home_office":61,"processed_salary_min":132,"processed_salary_max":564,"processed_salary_currency":168,"processed_salary_source":24,"processed_working_hours":565,"processed_employment_types":27,"processed_it_skills":566,"processed_it_skills_labels":567,"processed_job_expertise_skills":577,"processed_job_expertise_skills_labels":578,"max_cpc":49,"actual_cpc":49},91146,"senior-site-reliability-engineer-mfd-allianz-insurance","Senior Site Reliability Engineer (m\u002Ff\u002Fd)",{"name":157,"slug":158,"logo_url":159},[561],"Bucharest",[563],"RO",95000,[26],{"azure":29,"python":29,"grafana":29,"windows":29,"powershell":29,"prometheus":29,"ai technologies":95,"genai platforms":95,"active directory":29,"citrix daas\u002Fcvad":29,"microsoft intune":29,"azure ad\u002Fentra id":29},[568,569,570,571,572,138,573,574,172,32,575,576],"Grafana","Prometheus","Windows","Active Directory","Azure AD\u002FEntra ID","Citrix DaaS\u002FCVAD","Microsoft Intune","AI technologies","GenAI platforms",{"devops":29,"automation":29,"documentation":29,"dashboard design":29,"vendor management":29,"data visualization":29,"remote diagnostics":29,"endpoint management":29,"agile working methods":29,"monitoring and alerting":29,"infrastructure engineering":29,"web-based tool development":29,"site reliability engineering":29},[579,268,375,580,506,35,581,78,582,583,584,386,422],"Site Reliability Engineering","Monitoring and Alerting","Endpoint Management","Web-based Tool Development","Remote Diagnostics","Agile Working Methods",{"id":586,"slug":587,"title":588,"raw_title":11,"is_featured":12,"company":589,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":592,"processed_country_iso_code_gmaps":594,"processed_home_office":61,"processed_salary_min":167,"processed_salary_max":595,"processed_salary_currency":64,"processed_salary_source":24,"processed_working_hours":596,"processed_employment_types":27,"processed_it_skills":597,"processed_it_skills_labels":598,"processed_job_expertise_skills":601,"processed_job_expertise_skills_labels":602,"max_cpc":49,"actual_cpc":49},92538,"manager-analytics-and-artificial-intelligence-internal-audit-federation-caisses-desjardins","Manager, Analytics and Artificial Intelligence, Internal Audit",{"name":590,"slug":591,"logo_url":11},"Federation Caisses Desjardins","federation-caisses-desjardins",[593],"Montréal",[60],160000,[26],{"sql":30,"python":30,"ai\u002Fml frameworks":30,"data visualization tools":30},[32,33,599,600],"Data Visualization Tools","AI\u002FML Frameworks",{"data strategy":29,"internal audit":29,"data governance":29,"risk management":30,"executive writing":30,"advanced analytics":29,"continuous auditing":30,"predictive modeling":30,"presentation skills":30,"portfolio management":30,"business intelligence":29,"regulatory compliance":30,"digital transformation":29,"artificial intelligence":29},[81,603,604,605,46,606,607,211,608,284,609,610,611,612],"Advanced Analytics","Artificial Intelligence","Internal Audit","Predictive Modeling","Continuous Auditing","Digital Transformation","Regulatory Compliance","Portfolio Management","Executive Writing","Presentation Skills",{"id":614,"slug":615,"title":616,"raw_title":11,"is_featured":12,"company":617,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":620,"processed_country_iso_code_gmaps":622,"processed_home_office":20,"processed_salary_min":624,"processed_salary_max":625,"processed_salary_currency":168,"processed_salary_source":24,"processed_working_hours":626,"processed_employment_types":27,"processed_it_skills":627,"processed_it_skills_labels":628,"processed_job_expertise_skills":630,"processed_job_expertise_skills_labels":631,"max_cpc":49,"actual_cpc":49},96761,"analista-de-modelos-de-parametros-de-risco-de-credito-banco-santander-totta-sa","Analista de Modelos de Parâmetros de Risco de Crédito",{"name":618,"slug":619,"logo_url":220},"Banco Santander Totta, S.A.","banco-santander-totta-sa",[621],"Lisboa",[623],"PT",35000,55000,[26],{"r":30,"sas":30,"sql":30,"python":30},[629,33,32,488],"SAS",{"data analysis":29,"documentation":30,"pd lgd ccf modeling":29,"statistical modeling":29,"regulatory compliance":30,"stakeholder management":30,"credit risk model development":29},[632,234,633,609,386,634,151],"Credit Risk Model Development","PD LGD CCF Modeling","Stakeholder Management",{"id":636,"slug":637,"title":638,"raw_title":11,"is_featured":12,"company":639,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":642,"processed_country_iso_code_gmaps":644,"processed_home_office":20,"processed_salary_min":645,"processed_salary_max":646,"processed_salary_currency":301,"processed_salary_source":24,"processed_working_hours":647,"processed_employment_types":27,"processed_it_skills":648,"processed_it_skills_labels":649,"processed_job_expertise_skills":650,"processed_job_expertise_skills_labels":651,"max_cpc":49,"actual_cpc":49},94862,"senior-content-analyst-refinitiv-india-shared-services-private-limited-4","Senior Content Analyst",{"name":640,"slug":641,"logo_url":11},"Refinitiv India Shared Services Private Limited","refinitiv-india-shared-services-private-limited",[643],"Bengaluru",[165],800000,1200000,[26],{"sql":95,"excel":30,"python":95},[174,33,32],{"training":30,"documentation":30,"corporate actions":29,"financial markets":30,"project management":30,"process improvement":30,"root cause analysis":30,"data quality management":29},[652,653,654,655,121,418,656,386],"Corporate Actions","Financial Markets","Data Quality Management","Process Improvement","Training",{"id":658,"slug":659,"title":660,"raw_title":11,"is_featured":12,"company":661,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":664,"processed_country_iso_code_gmaps":666,"processed_home_office":61,"processed_salary_min":667,"processed_salary_max":668,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":669,"processed_employment_types":27,"processed_it_skills":670,"processed_it_skills_labels":671,"processed_job_expertise_skills":673,"processed_job_expertise_skills_labels":674,"max_cpc":49,"actual_cpc":49},94455,"quant-analytics-assoc-keybank-national-association","Quant Analytics Assoc.",{"name":662,"slug":663,"logo_url":11},"KeyBank National Association","keybank-national-association",[665],"Brooklyn",[19],69000,105000,[26],{"r":30,"sas":30,"python":30,"microsoft office suite":30},[32,488,629,672],"Microsoft Office Suite",{"big data":30,"probability":30,"data literacy":30,"data wrangling":30,"machine learning":30,"model validation":30,"model development":30,"data visualization":30,"diagnostic testing":30,"predictive modeling":30,"quantitative analysis":30,"descriptive statistics":30},[675,676,677,678,35,679,680,34,606,681,276,682],"Quantitative Analysis","Data Wrangling","Descriptive Statistics","Probability","Model Development","Model Validation","Data Literacy","Diagnostic Testing",{"id":684,"slug":685,"title":686,"raw_title":11,"is_featured":12,"company":687,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":690,"processed_country_iso_code_gmaps":691,"processed_home_office":61,"processed_salary_min":692,"processed_salary_max":693,"processed_salary_currency":334,"processed_salary_source":24,"processed_working_hours":694,"processed_employment_types":27,"processed_it_skills":695,"processed_it_skills_labels":696,"processed_job_expertise_skills":699,"processed_job_expertise_skills_labels":700,"max_cpc":49,"actual_cpc":707},96668,"senior-equity-trader-private-banking-banco-santander-mexico-sa-institucion-de-banca-multiple-grupo-financiero-santander-mexico","Senior Equity Trader - Private Banking",{"name":688,"slug":689,"logo_url":11},"Banco Santander Mexico, S.A., Institución de Banca Múltiple, Grupo Financiero Santander Mexico","banco-santander-mexico-sa-institucion-de-banca-multiple-grupo-financiero-santander-mexico",[330],[332],600000,900000,[26],{"vba":95,"python":95,"ai tools":95,"bloomberg":30,"microsoft excel":29,"sentra capitales":30},[32,487,69,321,697,698],"Bloomberg","Sentra Capitales",{"equity trading":29,"order execution":29,"risk management":29,"technical analysis":29,"position management":29,"fundamental analysis":29,"financial markets knowledge":29},[701,702,703,704,705,284,706],"Equity Trading","Technical Analysis","Fundamental Analysis","Order Execution","Position Management","Financial Markets Knowledge",0.5,{"total":49,"jobs":709},[],{"industry":711,"employment_type":798,"expertise_skills":813,"it_skills":886,"salary_currency":965,"processed_working_hours":1034},[712,716,720,724,728,732,736,740,744,748,752,756,759,763,766,770,772,775,779,783,786,789,792,795],{"key":713,"label":714,"count":715},"financial services","Financial Services",938,{"key":717,"label":718,"count":719},"insurance","Insurance",550,{"key":721,"label":722,"count":723},"banking","Banking",490,{"key":725,"label":726,"count":727},"financial markets infrastructure","Financial Markets Infrastructure",240,{"key":729,"label":730,"count":731},"data","Data",139,{"key":733,"label":734,"count":735},"data provider","Data Provider",107,{"key":737,"label":738,"count":739},"asset management","Asset Management",106,{"key":741,"label":742,"count":743},"financial technology","Financial Technology",33,{"key":745,"label":746,"count":747},"wealth management","Wealth Management",22,{"key":749,"label":750,"count":751},"digital banking","Digital Banking",15,{"key":753,"label":754,"count":755},"property","Property",11,{"key":757,"label":758,"count":755},"casualty insurance","Casualty Insurance",{"key":760,"label":761,"count":762},"reinsurance","Reinsurance",10,{"key":764,"label":765,"count":762},"alternative investments","Alternative Investments",{"key":767,"label":768,"count":769},"financial advisory","Financial Advisory",9,{"key":771,"label":284,"count":769},"risk management",{"key":773,"label":774,"count":769},"financial market infrastructure","Financial Market Infrastructure",{"key":776,"label":777,"count":778},"technology solutions","Technology Solutions",7,{"key":780,"label":781,"count":782},"alternative asset management","Alternative Asset Management",5,{"key":784,"label":785,"count":29},"claims management","Claims Management",{"key":787,"label":788,"count":29},"private banking","Private Banking",{"key":790,"label":791,"count":30},"private equity","Private Equity",{"key":793,"label":794,"count":30},"vehicle leasing","Vehicle Leasing",{"key":796,"label":797,"count":30},"fleet management","Fleet Management",[799,802,806,809],{"key":27,"label":800,"count":801},"PERMANENT",1900,{"key":803,"label":804,"count":805},"student","STUDENT",119,{"key":66,"label":807,"count":808},"TEMPORARY",29,{"key":810,"label":811,"count":812},"contract","CONTRACT",16,[814,817,820,823,827,830,833,836,839,842,846,849,851,853,856,859,863,867,870,873,876,879,881,883],{"key":815,"label":151,"slug":815,"count":816},"data-analysis",345,{"key":818,"label":284,"slug":818,"count":819},"risk-management",327,{"key":821,"label":46,"slug":821,"count":822},"data-governance",223,{"key":824,"label":825,"slug":824,"count":826},"project-management","Project management",210,{"key":828,"label":34,"slug":828,"count":829},"machine-learning",203,{"key":831,"label":609,"slug":831,"count":832},"regulatory-compliance",200,{"key":834,"label":78,"slug":834,"count":835},"automation",199,{"key":837,"label":242,"slug":837,"count":838},"data-engineering",161,{"key":840,"label":121,"slug":840,"count":841},"root-cause-analysis",141,{"key":843,"label":844,"slug":843,"count":845},"devops","Devops",134,{"key":847,"label":120,"slug":847,"count":848},"incident-management",132,{"key":850,"label":655,"slug":850,"count":848},"process-improvement",{"key":852,"label":123,"slug":852,"count":848},"agile-methodologies",{"key":854,"label":105,"slug":854,"count":855},"data-modeling",129,{"key":857,"label":35,"slug":857,"count":858},"data-visualization",128,{"key":860,"label":861,"slug":860,"count":862},"software-engineering","Software Engineering",123,{"key":864,"label":865,"slug":864,"count":866},"compliance","Compliance",121,{"key":868,"label":383,"slug":868,"count":869},"observability",112,{"key":871,"label":40,"slug":871,"count":872},"data-science",101,{"key":874,"label":48,"slug":874,"count":875},"change-management",98,{"key":877,"label":211,"slug":877,"count":878},"business-intelligence",94,{"key":880,"label":610,"slug":880,"count":878},"portfolio-management",{"key":882,"label":680,"slug":882,"count":878},"model-validation",{"key":884,"label":634,"slug":884,"count":885},"stakeholder-management",93,[887,889,892,896,900,904,907,911,915,918,921,924,927,930,934,938,942,946,950,953,954,956,958,961],{"key":888,"label":32,"slug":888,"count":5},"python",{"key":890,"label":33,"slug":890,"count":891},"sql",1141,{"key":893,"label":894,"slug":893,"count":895},"aws","Aws",427,{"key":897,"label":898,"slug":897,"count":899},"ms-excel","MS Excel",409,{"key":901,"label":902,"slug":901,"count":903},"cicd","Ci\u002FCd",377,{"key":905,"label":97,"slug":905,"count":906},"java",355,{"key":908,"label":909,"slug":908,"count":910},"ms-powerbi","MS PowerBI",328,{"key":912,"label":913,"slug":912,"count":914},"ms-azure","MS Azure",320,{"key":916,"label":140,"slug":916,"count":917},"kubernetes",291,{"key":919,"label":488,"slug":919,"count":920},"r",288,{"key":922,"label":144,"slug":922,"count":923},"git",265,{"key":925,"label":362,"slug":925,"count":926},"terraform",250,{"key":928,"label":139,"slug":928,"count":929},"docker",231,{"key":931,"label":932,"slug":931,"count":933},"tableau","Tableau",191,{"key":935,"label":936,"slug":935,"count":937},"powershell","Powershell",179,{"key":939,"label":940,"slug":939,"count":941},"sas","Sas",159,{"key":943,"label":944,"slug":943,"count":945},"javascript","Javascript",146,{"key":947,"label":948,"slug":947,"count":949},"vba","Vba",144,{"key":951,"label":366,"slug":951,"count":952},"jenkins",140,{"key":828,"label":34,"slug":828,"count":731},{"key":955,"label":266,"slug":955,"count":731},"linux",{"key":957,"label":438,"slug":957,"count":731},"snowflake",{"key":959,"label":270,"slug":959,"count":960},"c",138,{"key":962,"label":963,"slug":962,"count":964},"gcp","Gcp",133,[966,968,970,972,974,977,979,982,985,988,990,992,994,996,998,1000,1002,1005,1007,1010,1012,1014,1016,1018,1020,1022,1024,1026,1028,1030,1032],{"key":23,"label":23,"count":967},704,{"key":168,"label":168,"count":969},342,{"key":301,"label":301,"count":971},229,{"key":64,"label":64,"count":973},173,{"key":975,"label":975,"count":976},"SGD",153,{"key":978,"label":978,"count":945},"GBP",{"key":980,"label":980,"count":981},"MYR",85,{"key":983,"label":983,"count":984},"PHP",52,{"key":986,"label":986,"count":987},"HKD",37,{"key":989,"label":989,"count":743},"PLN",{"key":991,"label":991,"count":808},"CHF",{"key":334,"label":334,"count":993},18,{"key":225,"label":225,"count":995},14,{"key":997,"label":997,"count":755},"THB",{"key":999,"label":999,"count":769},"AUD",{"key":1001,"label":1001,"count":769},"VND",{"key":1003,"label":1003,"count":1004},"CNY",8,{"key":1006,"label":1006,"count":1004},"TRY",{"key":1008,"label":1008,"count":1009},"PEN",6,{"key":1011,"label":1011,"count":782},"TWD",{"key":1013,"label":1013,"count":782},"LKR",{"key":1015,"label":1015,"count":782},"JPY",{"key":1017,"label":1017,"count":29},"HUF",{"key":1019,"label":1019,"count":29},"COP",{"key":1021,"label":1021,"count":30},"RON",{"key":1023,"label":1023,"count":95},"IDR",{"key":1025,"label":1025,"count":49},"MZN",{"key":1027,"label":1027,"count":49},"VES",{"key":1029,"label":1029,"count":49},"CLP",{"key":1031,"label":1031,"count":49},"KRW",{"key":1033,"label":1033,"count":49},"CZK",[1035,1037],{"key":26,"label":26,"count":1036},2078,{"key":1038,"label":1038,"count":1039},"PART_TIME",38]