[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-python-global":3,"job-search-\u002Fde\u002Fjobs-by-skill\u002Fpython?page=19":4,"skill-page-filters-\u002Fde\u002Fjobs-by-skill\u002Fpython?page=19":688,"featured-jobs-\u002Fde\u002Fjobs-by-skill\u002Fpython?page=19":1020},{},{"total":5,"jobs":6},2099,[7,48,84,121,148,182,233,270,298,319,341,379,409,463,490,531,568,602,636,662],{"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":30,"processed_job_expertise_skills":37,"processed_job_expertise_skills_labels":39,"max_cpc":47,"actual_cpc":47},91820,"business-analyst-co-op-canadian-imperial-bank-of-commerce-canada","Business Analyst co-op",null,false,{"name":14,"slug":15,"logo_url":11},"Canadian Imperial Bank of Commerce (Canada)","canadian-imperial-bank-of-commerce-canada",[17],"Toronto",[19],"CA","hybrid",40000,60000,"CAD","estimated",[26],"FULL_TIME","temporary",{"sql":29,"python":29,"microsoft excel":29,"microsoft office":29,"microsoft power bi":29,"microsoft power automate":29},3,[31,32,33,34,35,36],"Python","SQL","Microsoft Excel","Microsoft Power Automate","Microsoft Power BI","Microsoft Office",{"automation":29,"data strategy":29,"data analytics":38,"data enablement":29,"banking processes":29,"process documentation":29,"continuous improvement":29},4,[40,41,42,43,44,45,46],"Data Analytics","Data Enablement","Process Documentation","Automation","Continuous Improvement","Banking Processes","Data Strategy",1,{"id":49,"slug":50,"title":51,"raw_title":11,"is_featured":12,"company":52,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":55,"processed_country_iso_code_gmaps":56,"processed_home_office":20,"processed_salary_min":57,"processed_salary_max":58,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":59,"processed_employment_types":60,"processed_it_skills":61,"processed_it_skills_labels":63,"processed_job_expertise_skills":71,"processed_job_expertise_skills_labels":72,"max_cpc":47,"actual_cpc":47},97849,"manager-business-automation-sun-life-assurance-company-of-canada","Manager, Business Automation",{"name":53,"slug":54,"logo_url":11},"Sun Life Assurance Company of Canada","sun-life-assurance-company-of-canada",[17],[19],85000,128000,[26],"permanent",{"aws":29,"sql":38,"python":38,"code review":62,"microsoft 365":29,"power automate":38,"source control":62,"ai developer tooling":29,"deployment practices":62},2,[31,32,64,65,66,67,68,69,70],"Power Automate","Microsoft 365","AWS","AI developer tooling","Source control","Code review","Deployment practices",{"automation":38,"value tracking":29,"data governance":29,"risk management":29,"business analysis":38,"change management":29,"backlog management":29,"solutions delivery":38,"workflow management":38,"osfi b-13 compliance":62,"requirements definition":38,"technical feasibility assessment":29},[43,73,74,75,76,77,78,79,80,81,82,83],"Workflow Management","Business Analysis","Solutions Delivery","Requirements Definition","Technical Feasibility Assessment","Data Governance","OSFI B-13 Compliance","Change Management","Value Tracking","Backlog Management","Risk Management",{"id":85,"slug":86,"title":87,"raw_title":11,"is_featured":12,"company":88,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":91,"processed_country_iso_code_gmaps":93,"processed_home_office":95,"processed_salary_min":96,"processed_salary_max":97,"processed_salary_currency":98,"processed_salary_source":24,"processed_working_hours":99,"processed_employment_types":60,"processed_it_skills":100,"processed_it_skills_labels":101,"processed_job_expertise_skills":111,"processed_job_expertise_skills_labels":112,"max_cpc":47,"actual_cpc":47},99111,"risk-officer-ii-us-nordstrom-ecm-td-bank-na","Risk Officer II (US)-Nordstrom ECM",{"name":89,"slug":90,"logo_url":11},"TD Bank, N.A.","td-bank-na",[92],"Wilmington",[94],"US","onsite",90000,108160,"USD",[26],{"ai":62,"etl":29,"sas":38,"sql":38,"python":29,"ms excel":38,"ms powerpoint":29,"fico model builder":62,"relational databases":29,"sas enterprise miner":62,"angoss knowledge seeker":62},[102,103,32,104,31,105,106,107,108,109,110],"MS Excel","MS PowerPoint","SAS","Relational Databases","ETL","SAS Enterprise Miner","FICO Model Builder","Angoss Knowledge Seeker","AI",{"data analysis":38,"data modeling":29,"risk analytics":29,"risk reporting":29,"statistical analysis":29,"credit risk management":38,"portfolio risk management":29,"credit risk standards development":29},[113,114,115,116,117,118,119,120],"Credit Risk Management","Data Modeling","Risk Analytics","Statistical Analysis","Portfolio Risk Management","Credit Risk Standards Development","Risk Reporting","Data Analysis",{"id":122,"slug":123,"title":124,"raw_title":11,"is_featured":12,"company":125,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":129,"processed_country_iso_code_gmaps":131,"processed_home_office":95,"processed_salary_min":133,"processed_salary_max":22,"processed_salary_currency":134,"processed_salary_source":24,"processed_working_hours":135,"processed_employment_types":60,"processed_it_skills":136,"processed_it_skills_labels":137,"processed_job_expertise_skills":145,"processed_job_expertise_skills_labels":146,"max_cpc":47,"actual_cpc":47},90886,"claims-retrospective-associate-allianz-insurance-3","Claims Retrospective Associate",{"name":126,"slug":127,"logo_url":128},"Allianz Insurance","allianz-insurance","https:\u002F\u002Fcdn.phenompeople.com\u002FCareerConnectResources\u002FAISAIPGB\u002Fimages\u002FHeader-1706868786965.svg",[130],"Cairo",[132],"EG",45000,"EUR",[26],{"python":47,"chatgpt":47,"pytorch":47,"tensorflow":47,"data analysis":62,"generative ai":47,"machine learning":47,"microsoft copilot":47,"natural language processing (nlp)":47},[31,138,139,140,141,120,142,143,144],"TensorFlow","PyTorch","Natural Language Processing (NLP)","Machine Learning","Microsoft Copilot","ChatGPT","Generative AI",{"claims management":29},[147],"Claims Management",{"id":149,"slug":150,"title":151,"raw_title":11,"is_featured":12,"company":152,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":155,"processed_country_iso_code_gmaps":157,"processed_home_office":20,"processed_salary_min":158,"processed_salary_max":159,"processed_salary_currency":98,"processed_salary_source":24,"processed_working_hours":160,"processed_employment_types":60,"processed_it_skills":161,"processed_it_skills_labels":162,"processed_job_expertise_skills":165,"processed_job_expertise_skills_labels":166,"max_cpc":47,"actual_cpc":47},97878,"director-data-science-sun-life-financial-us-services-company-inc-2","Director, Data Science",{"name":153,"slug":154,"logo_url":11},"Sun Life Financial (U.S.) Services Company, Inc.","sun-life-financial-us-services-company-inc",[156],"Wellesley",[94],153000,229500,[26],{"sql":38,"python":38,"dataiku":38,"snowflake":38},[31,32,163,164],"Snowflake","Dataiku",{"pricing":38,"data science":38,"underwriting":38,"responsible ai":38,"risk selection":38,"data compliance":38,"machine learning":38,"model deployment":38,"model governance":38,"model monitoring":38,"agile methodology":29,"data visualization":38,"information security":38,"portfolio management":38,"statistical modeling":38,"artificial intelligence":38},[167,141,168,169,170,171,172,173,174,175,176,177,178,179,180,181],"Data Science","Artificial Intelligence","Underwriting","Pricing","Risk Selection","Portfolio Management","Model Governance","Responsible AI","Data Compliance","Information Security","Statistical Modeling","Data Visualization","Model Deployment","Model Monitoring","Agile Methodology",{"id":183,"slug":184,"title":185,"raw_title":11,"is_featured":12,"company":186,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":187,"processed_country_iso_code_gmaps":188,"processed_home_office":20,"processed_salary_min":189,"processed_salary_max":190,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":191,"processed_employment_types":60,"processed_it_skills":192,"processed_it_skills_labels":193,"processed_job_expertise_skills":218,"processed_job_expertise_skills_labels":219,"max_cpc":47,"actual_cpc":47},99005,"software-engineer-ii-salesforce-loyalty-management-developer-td-bank-na","Software Engineer II (Salesforce Loyalty Management Developer)",{"name":89,"slug":90,"logo_url":11},[17],[19],81600,115200,[26],{"git":29,"sql":29,"apex":38,"copado":29,"python":29,"gearset":29,"mulesoft":29,"soql\u002Fsosl":38,"java (java 8+)":29,"ci\u002Fcd pipelines":29,"rest and soap apis":38,"salesforce dx (sfdx)":29,"salesforce data cloud":38,"solution architecture":38,"salesforce sales cloud":38,"integration architecture":38,"performance optimization":29,"salesforce service cloud":38,"event-driven architecture":29,"salesforce marketing cloud":38,"flow and process automation":38,"data migration and etl tools":29,"salesforce loyalty management":38,"lightning web components (lwc)":38,"enterprise security and governance":29,"salesforce apis and integration patterns":38},[194,195,196,197,198,199,200,201,202,203,204,205,32,206,207,208,31,209,210,211,212,213,214,215,216,217],"Salesforce Loyalty Management","Salesforce Sales Cloud","Salesforce Service Cloud","Salesforce Data Cloud","Salesforce Marketing Cloud","Apex","Lightning Web Components (LWC)","SOQL\u002FSOSL","Flow and Process Automation","Salesforce APIs and Integration Patterns","REST and SOAP APIs","MuleSoft","Event-driven architecture","Data migration and ETL tools","Java (Java 8+)","Git","CI\u002FCD pipelines","Salesforce DX (SFDX)","Copado","Gearset","Solution Architecture","Integration Architecture","Enterprise Security and Governance","Performance Optimization",{"code review":38,"solution design":38,"devops automation":38,"performance tuning":38,"production support":38,"release management":38,"integration strategy":38,"requirements analysis":38,"technical architecture":38,"enterprise architecture":38,"security and governance":38,"financial services industry experience":29,"salesforce loyalty management implementation":38},[220,221,222,223,224,225,226,227,228,229,230,231,232],"Salesforce Loyalty Management Implementation","Solution Design","Technical Architecture","Integration Strategy","Requirements Analysis","Release Management","DevOps Automation","Code Review","Production Support","Enterprise Architecture","Security and Governance","Performance Tuning","Financial Services Industry Experience",{"id":234,"slug":235,"title":236,"raw_title":11,"is_featured":12,"company":237,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":240,"processed_country_iso_code_gmaps":242,"processed_home_office":20,"processed_salary_min":244,"processed_salary_max":245,"processed_salary_currency":246,"processed_salary_source":24,"processed_working_hours":247,"processed_employment_types":60,"processed_it_skills":248,"processed_it_skills_labels":249,"processed_job_expertise_skills":260,"processed_job_expertise_skills_labels":261,"max_cpc":47,"actual_cpc":47},96174,"quant-platform-engineer-pgim-limited","Quant Platform Engineer",{"name":238,"slug":239,"logo_url":11},"PGIM Limited","pgim-limited",[241],"London",[243],"GB",80000,120000,"GBP",[26],{"ray":29,"dask":29,"ci\u002Fcd":29,"kafka":29,"python":38,"rabbitmq":29,"apache beam":29,"apache spark":29,"data engineering":38,"automated testing":29,"distributed computing":38},[31,250,251,252,253,254,255,256,257,258,259],"Data Engineering","Distributed Computing","Apache Spark","Ray","Dask","Apache Beam","Kafka","RabbitMQ","CI\u002FCD","Automated Testing",{"credit":29,"code review":29,"fixed income":29,"risk management":29,"asset management":29,"financial markets":29,"investment research":29,"portfolio management":29,"software architecture":29,"quantitative analytics":38,"performance optimization":29,"event-driven architecture":29},[262,83,172,263,264,265,266,267,268,227,217,269],"Quantitative Analytics","Investment Research","Fixed Income","Credit","Asset Management","Financial Markets","Software Architecture","Event-Driven Architecture",{"id":271,"slug":272,"title":273,"raw_title":11,"is_featured":12,"company":274,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":277,"processed_country_iso_code_gmaps":279,"processed_home_office":20,"processed_salary_min":280,"processed_salary_max":281,"processed_salary_currency":98,"processed_salary_source":24,"processed_working_hours":282,"processed_employment_types":60,"processed_it_skills":283,"processed_it_skills_labels":284,"processed_job_expertise_skills":290,"processed_job_expertise_skills_labels":291,"max_cpc":47,"actual_cpc":47},96196,"pgim-us-economist-pgim-inc","PGIM - US Economist",{"name":275,"slug":276,"logo_url":11},"PGIM, Inc.","pgim-inc",[278],"Newark",[94],145000,155000,[26],{"r":38,"stata":38,"eviews":38,"python":38,"bloomberg":38,"haver analytics":38},[31,285,286,287,288,289],"Stata","EViews","R","Haver Analytics","Bloomberg",{"us macroeconomics":38,"data visualization":29,"regression analysis":38,"economic forecasting":38,"economic data analysis":38,"federal reserve policy":38,"macroeconomic modeling":38},[292,293,294,295,296,297,178],"Macroeconomic Modeling","Economic Forecasting","Economic Data Analysis","Regression Analysis","US Macroeconomics","Federal Reserve Policy",{"id":299,"slug":300,"title":301,"raw_title":11,"is_featured":12,"company":302,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":303,"processed_country_iso_code_gmaps":304,"processed_home_office":20,"processed_salary_min":96,"processed_salary_max":305,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":306,"processed_employment_types":60,"processed_it_skills":307,"processed_it_skills_labels":308,"processed_job_expertise_skills":310,"processed_job_expertise_skills_labels":311,"max_cpc":47,"actual_cpc":47},91845,"data-scientist-model-performance-monitoring-and-reporting-canadian-imperial-bank-of-commerce-canada","Data Scientist, Model Performance Monitoring and Reporting",{"name":14,"slug":15,"logo_url":11},[17],[19],130000,[26],{"sas":62,"sql":38,"python":38,"databricks":29,"machine learning":29},[32,31,309,104,141],"Databricks",{"statistics":38,"data analysis":38,"fraud detection":29,"model monitoring":38,"advanced analytics":29,"predictive modeling":29,"performance modeling":29,"model development lifecycle":38,"model performance monitoring":38},[312,313,314,315,316,120,317,180,318],"Statistics","Model Performance Monitoring","Model Development Lifecycle","Fraud Detection","Predictive Modeling","Performance Modeling","Advanced Analytics",{"id":320,"slug":321,"title":322,"raw_title":11,"is_featured":12,"company":323,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":326,"processed_country_iso_code_gmaps":328,"processed_home_office":95,"processed_salary_min":329,"processed_salary_max":330,"processed_salary_currency":98,"processed_salary_source":24,"processed_working_hours":331,"processed_employment_types":60,"processed_it_skills":332,"processed_it_skills_labels":333,"processed_job_expertise_skills":336,"processed_job_expertise_skills_labels":337,"max_cpc":47,"actual_cpc":47},90350,"cib-ai-strategy-control-vice-president-bbva-red-exterior-de-oficinas","CIB AI Strategy & Control Vice President",{"name":324,"slug":325,"logo_url":11},"BBVA RED EXTERIOR DE OFICINAS","bbva-red-exterior-de-oficinas",[327],"New York",[94],150000,190000,[26],{"sql":38,"mlops":29,"python":38,"machine learning":38,"data visualization":29,"cloud data platforms":29},[31,32,141,178,334,335],"Cloud Data Platforms","MLOps",{"data science":38,"responsible ai":29,"data governance":29,"experimentation":38,"model monitoring":29,"change management":29,"model documentation":29,"statistical analysis":38,"portfolio prioritization":29},[167,116,338,339,180,174,78,340,80],"Experimentation","Model Documentation","Portfolio Prioritization",{"id":342,"slug":343,"title":344,"raw_title":11,"is_featured":12,"company":345,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":348,"processed_country_iso_code_gmaps":350,"processed_home_office":95,"processed_salary_min":352,"processed_salary_max":353,"processed_salary_currency":354,"processed_salary_source":24,"processed_working_hours":355,"processed_employment_types":60,"processed_it_skills":356,"processed_it_skills_labels":357,"processed_job_expertise_skills":365,"processed_job_expertise_skills_labels":366,"max_cpc":47,"actual_cpc":47},92404,"group-strategic-analytics-quantitative-strategist-valuation-control-vp-9478-deutsche-india-private-limited","Group Strategic Analytics – Quantitative Strategist – Valuation Control, VP",{"name":346,"slug":347,"logo_url":11},"9478 Deutsche India Private Limited","9478-deutsche-india-private-limited",[349],"Mumbai",[351],"IN",5000000,8000000,"INR",[26],{"python":38,"testing":38,"ai tools":29,"debugging":38,"api development":38,"data structures":38,"version control":38,"object-oriented design":38,"performance optimization":38},[31,358,359,360,361,217,362,363,364],"Object-Oriented Design","Data Structures","Testing","Debugging","Version Control","API Development","AI Tools",{"pricing":38,"reserves":38,"derivatives":38,"market risk":38,"middle office":38,"risk management":38,"valuation models":38,"valuation control":38,"pricing techniques":38,"production support":29,"project management":29,"prudential valuation":38,"financial engineering":38,"independent price verification":38,"quantitative software development":38},[367,368,170,83,369,370,371,372,373,374,375,376,377,378,228],"Quantitative Software Development","Financial Engineering","Valuation Control","Independent Price Verification","Reserves","Prudential Valuation","Derivatives","Market Risk","Middle Office","Valuation Models","Pricing Techniques","Project Management",{"id":380,"slug":381,"title":382,"raw_title":11,"is_featured":12,"company":383,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":386,"processed_country_iso_code_gmaps":388,"processed_home_office":95,"processed_salary_min":390,"processed_salary_max":391,"processed_salary_currency":392,"processed_salary_source":24,"processed_working_hours":393,"processed_employment_types":60,"processed_it_skills":394,"processed_it_skills_labels":395,"processed_job_expertise_skills":397,"processed_job_expertise_skills_labels":398,"max_cpc":47,"actual_cpc":47},90187,"analista-actuarial-jr-reservas-tecnicas-cuauhtemoc-ciudad-de-mexico-bbva-seguros-mexico-sa-de-cv","Analista actuarial Jr - Reservas técnicas. (Cuauhtémoc, Ciudad de México).",{"name":384,"slug":385,"logo_url":11},"BBVA SEGUROS MÉXICO SA DE CV","bbva-seguros-mexico-sa-de-cv",[387],"Mexiko-Stadt",[389],"MX",300000,450000,"MXN",[26],{"r":62,"sql":62,"excel":29,"python":62},[396,32,31,287],"Excel",{"ifrs17":62,"us gaap":62,"statistics":29,"probability":29,"solvency ii":62,"actuarial modeling":29,"data quality control":29,"insurance regulation":62,"actuarial mathematics":29,"financial mathematics":29,"technical reserves valuation":29},[399,400,312,401,402,403,404,405,406,407,408],"Actuarial Mathematics","Financial Mathematics","Probability","Technical Reserves Valuation","Data Quality Control","Actuarial Modeling","IFRS17","Solvency II","US GAAP","Insurance Regulation",{"id":410,"slug":411,"title":412,"raw_title":11,"is_featured":12,"company":413,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":414,"processed_country_iso_code_gmaps":418,"processed_home_office":20,"processed_salary_min":244,"processed_salary_max":245,"processed_salary_currency":134,"processed_salary_source":24,"processed_working_hours":419,"processed_employment_types":60,"processed_it_skills":420,"processed_it_skills_labels":421,"processed_job_expertise_skills":440,"processed_job_expertise_skills_labels":441,"max_cpc":47,"actual_cpc":47},91140,"senior-analyst-it-information-security-security-incident-response-management3377-allianz-insurance","Senior Analyst-IT & Information Security-Security Incident Response Management_3377",{"name":126,"slug":127,"logo_url":128},[415,416,417],"PUNE","Trivandrum","Sindewahi",[351],[26],{"aws":29,"gcp":29,"sql":29,"yara":29,"azure":29,"excel":29,"sigma":29,"snort":29,"encase":29,"github":29,"python":38,"splunk":29,"autopsy":29,"elastic":29,"powerbi":29,"kubernetes":29,"powershell":38,"volatility":29,"crowdstrike":29,"sentinelone":29,"sysinternals suite":29,"kql\u002Fazure data explorer":29},[31,422,32,423,396,424,425,66,426,427,428,429,430,431,432,433,434,435,436,437,438,439],"PowerShell","KQL\u002FAzure Data Explorer","PowerBI","Azure","GCP","Kubernetes","GitHub","YARA","SIGMA","Snort","Splunk","Elastic","CrowdStrike","SentinelOne","Volatility","EnCase","Autopsy","Sysinternals Suite",{"dlp":29,"edr":29,"siem":29,"log analysis":38,"mitre att&ck":38,"data analysis":38,"generative ai":62,"cloud security":29,"cyber security":38,"threat hunting":38,"ai technologies":62,"report building":29,"malware analysis":38,"network security":38,"threat detection":38,"digital forensics":38,"incident response":38,"alerting workflows":29,"container security":29,"attacker kill chain":38,"security operations":38,"business intelligence":29,"automation and orchestration":38},[442,443,444,445,446,447,448,449,450,451,452,453,454,455,456,457,458,120,459,460,461,462,144],"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":464,"slug":465,"title":466,"raw_title":11,"is_featured":12,"company":467,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":468,"processed_country_iso_code_gmaps":469,"processed_home_office":95,"processed_salary_min":470,"processed_salary_max":352,"processed_salary_currency":354,"processed_salary_source":24,"processed_working_hours":471,"processed_employment_types":60,"processed_it_skills":472,"processed_it_skills_labels":473,"processed_job_expertise_skills":475,"processed_job_expertise_skills_labels":476,"max_cpc":47,"actual_cpc":47},92408,"risk-specialist-as-9478-deutsche-india-private-limited","Risk Specialist, AS",{"name":346,"slug":347,"logo_url":11},[349],[351],3000000,[26],{"python":29,"ms office":38},[31,474],"MS Office",{"var":38,"ai tools":29,"automation":29,"spv repack":38,"derivatives":38,"back-testing":38,"credit hedging":38,"stress testing":38,"risk management":38,"scenario analysis":38,"structured products":38,"regulatory knowledge":38,"methodology oversight":38,"product risk analysis":38,"portfolio risk analysis":38,"counterparty credit risk":38,"potential future exposure (pfe)":38},[477,83,373,478,479,480,481,482,483,484,485,486,487,488,489,43,364],"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",{"id":491,"slug":492,"title":493,"raw_title":11,"is_featured":12,"company":494,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":498,"processed_country_iso_code_gmaps":499,"processed_home_office":95,"processed_salary_min":501,"processed_salary_max":502,"processed_salary_currency":503,"processed_salary_source":24,"processed_working_hours":504,"processed_employment_types":60,"processed_it_skills":505,"processed_it_skills_labels":506,"processed_job_expertise_skills":512,"processed_job_expertise_skills_labels":513,"max_cpc":47,"actual_cpc":47},96967,"sr-lider-provisoes-ifrs-9-banco-santander-brasil-sa","Sr Lider - Provisões (IFRS 9)",{"name":495,"slug":496,"logo_url":497},"Banco Santander (Brasil) S.A.","banco-santander-brasil-sa","\u002Fimages\u002Flogos\u002Fsantander-logo-2018.svg",[],[500],"BR",240000,360000,"BRL",[26],{"git":29,"sql":38,"numpy":29,"spark":29,"pandas":29,"python":38,"pyspark":29,"databricks":29,"scikit-learn":29},[31,32,507,508,309,209,509,510,511],"Spark","PySpark","Pandas","NumPy","Scikit-Learn",{"gam":38,"glm":38,"ifrs 9":38,"backtesting":38,"pd modeling":38,"ead modeling":38,"lgd modeling":38,"generative ai":29,"stress testing":38,"machine learning":38,"stage allocation":38,"model calibration":38,"survival analysis":38,"applied statistics":38,"project management":38,"agile methodologies":38,"logistic regression":38,"model risk management":38,"resolução cmn 4.966":38,"credit risk management":38,"expected credit loss (ecl)":38,"large language models (llms)":29},[514,515,516,517,518,519,520,481,521,522,523,524,525,526,527,141,144,528,113,529,530,378],"IFRS 9","Resolução CMN 4.966","PD Modeling","LGD Modeling","EAD Modeling","Expected Credit Loss (ECL)","Stage Allocation","Applied Statistics","Logistic Regression","Survival Analysis","GLM","GAM","Backtesting","Model Calibration","Large Language Models (LLMs)","Model Risk Management","Agile Methodologies",{"id":532,"slug":533,"title":534,"raw_title":11,"is_featured":12,"company":535,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":538,"processed_country_iso_code_gmaps":539,"processed_home_office":95,"processed_salary_min":540,"processed_salary_max":541,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":542,"processed_employment_types":60,"processed_it_skills":543,"processed_it_skills_labels":544,"processed_job_expertise_skills":550,"processed_job_expertise_skills_labels":551,"max_cpc":47,"actual_cpc":47},98977,"senior-java-full-stack-engineer-td-securities-the-toronto-dominion-bank-canada","Senior Java Full Stack Engineer, TD Securities",{"name":536,"slug":537,"logo_url":11},"The Toronto-Dominion Bank (Canada)","the-toronto-dominion-bank-canada",[17],[19],126800,164100,[26],{"sql":38,"java":38,"react":38,"python":62,"spring boot":38,"restful apis":38,"microservices":38},[545,546,32,547,548,549,31],"Java","Spring Boot","RESTful APIs","Microservices","React",{"unit testing":38,"data modeling":38,"secure coding":38,"broadridge bps":38,"capital markets":29,"prime brokerage":29,"broadridge gloss":38,"broadridge impact":38,"production support":29,"query optimization":38,"regression testing":38,"securities finance":29,"agile methodologies":29,"data reconciliation":38,"incident management":29,"integration testing":38,"root cause analysis":29,"relational databases":38,"reference data management":38,"corporate actions processing":38},[105,114,552,553,554,555,556,557,558,559,560,561,562,563,564,565,566,567,228,530],"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",{"id":569,"slug":570,"title":571,"raw_title":11,"is_featured":12,"company":572,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":573,"processed_country_iso_code_gmaps":575,"processed_home_office":20,"processed_salary_min":576,"processed_salary_max":577,"processed_salary_currency":134,"processed_salary_source":24,"processed_working_hours":578,"processed_employment_types":60,"processed_it_skills":579,"processed_it_skills_labels":580,"processed_job_expertise_skills":594,"processed_job_expertise_skills_labels":595,"max_cpc":47,"actual_cpc":47},91046,"technical-lead-azure-databricks3417-allianz-insurance","Technical Lead Azure Databricks_3417",{"name":126,"slug":127,"logo_url":128},[574,416],"Pune",[351],70000,100000,[26],{"dbt":29,"sql":38,"bicep":29,"ci\u002Fcd":38,"kafka":29,"spark":29,"docker":29,"mlflow":29,"python":38,"airflow":29,"datadog":29,"snowflake":29,"terraform":29,"databricks":38,"kubernetes":29,"prometheus":29,"azure monitor":29,"azure synapse":29,"azure ai foundry":29,"microsoft fabric":29,"azure data factory":29},[309,581,582,31,32,583,584,258,585,586,587,588,427,589,507,590,256,163,591,592,593],"Azure Synapse","Microsoft Fabric","Azure Data Factory","Airflow","Terraform","Bicep","Azure AI Foundry","MLflow","Docker","dbt","Azure Monitor","Datadog","Prometheus",{"mlops":29,"etl\u002Felt design":38,"data governance":38,"data integration":38,"platform security":38,"cloud architecture":29,"infrastructure-as-code":38,"data product management":29},[596,597,78,598,599,600,601,335],"Data Integration","ETL\u002FELT Design","Platform Security","Data Product Management","Infrastructure-as-Code","Cloud Architecture",{"id":603,"slug":604,"title":605,"raw_title":11,"is_featured":12,"company":606,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":607,"processed_country_iso_code_gmaps":609,"processed_home_office":20,"processed_salary_min":576,"processed_salary_max":611,"processed_salary_currency":134,"processed_salary_source":24,"processed_working_hours":612,"processed_employment_types":60,"processed_it_skills":613,"processed_it_skills_labels":614,"processed_job_expertise_skills":623,"processed_job_expertise_skills_labels":624,"max_cpc":47,"actual_cpc":47},91146,"senior-site-reliability-engineer-mfd-allianz-insurance","Senior Site Reliability Engineer (m\u002Ff\u002Fd)",{"name":126,"slug":127,"logo_url":128},[608],"Bucharest",[610],"RO",95000,[26],{"azure":38,"python":38,"grafana":38,"windows":38,"powershell":38,"prometheus":38,"ai technologies":62,"genai platforms":62,"active directory":38,"citrix daas\u002Fcvad":38,"microsoft intune":38,"azure ad\u002Fentra id":38},[615,593,616,617,618,425,619,620,422,31,621,622],"Grafana","Windows","Active Directory","Azure AD\u002FEntra ID","Citrix DaaS\u002FCVAD","Microsoft Intune","AI technologies","GenAI platforms",{"devops":38,"automation":38,"documentation":38,"dashboard design":38,"vendor management":38,"data visualization":38,"remote diagnostics":38,"endpoint management":38,"agile working methods":38,"monitoring and alerting":38,"infrastructure engineering":38,"web-based tool development":38,"site reliability engineering":38},[625,626,627,628,629,178,630,43,631,632,633,634,635],"Site Reliability Engineering","DevOps","Infrastructure Engineering","Monitoring and Alerting","Dashboard Design","Endpoint Management","Web-based Tool Development","Remote Diagnostics","Agile Working Methods","Documentation","Vendor Management",{"id":637,"slug":638,"title":639,"raw_title":11,"is_featured":12,"company":640,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":643,"processed_country_iso_code_gmaps":645,"processed_home_office":95,"processed_salary_min":646,"processed_salary_max":647,"processed_salary_currency":98,"processed_salary_source":24,"processed_working_hours":648,"processed_employment_types":60,"processed_it_skills":649,"processed_it_skills_labels":650,"processed_job_expertise_skills":652,"processed_job_expertise_skills_labels":653,"max_cpc":47,"actual_cpc":47},92806,"pricing-manager-government-employees-insurance-company","Pricing Manager",{"name":641,"slug":642,"logo_url":11},"Government Employees Insurance Company","government-employees-insurance-company",[644],"Bethesda",[94],97375,172200,[26],{"r":29,"sas":29,"sql":29,"python":29,"power bi":29},[287,104,32,31,651],"Power BI",{"underwriting":29,"data analysis":38,"pricing analysis":38,"actuarial analysis":29,"project management":29,"process improvement":29,"regulatory compliance":29,"product implementation":29,"pricing model development":38,"claims performance analysis":29,"cross-functional collaboration":29},[654,655,120,169,656,657,658,659,378,660,661],"Pricing Analysis","Actuarial Analysis","Claims Performance Analysis","Pricing Model Development","Product Implementation","Process Improvement","Cross-Functional Collaboration","Regulatory Compliance",{"id":663,"slug":664,"title":665,"raw_title":11,"is_featured":12,"company":666,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":669,"processed_country_iso_code_gmaps":671,"processed_home_office":95,"processed_salary_min":244,"processed_salary_max":245,"processed_salary_currency":134,"processed_salary_source":24,"processed_working_hours":673,"processed_employment_types":60,"processed_it_skills":674,"processed_it_skills_labels":675,"processed_job_expertise_skills":677,"processed_job_expertise_skills_labels":678,"max_cpc":47,"actual_cpc":687},96629,"equity-derivatives-trader-banco-santander-sa","Equity Derivatives Trader",{"name":667,"slug":668,"logo_url":497},"Banco Santander S.A.","banco-santander-sa",[670],"Boadilla del Monte",[672],"ES",[26],{"vba":62,"excel":38,"python":62,"bloomberg":38},[396,289,31,676],"VBA",{"pricing":38,"price management":29,"feedback analysis":29,"equity derivatives":38,"hedging strategies":38,"e-trading platforms":29,"market risk management":38,"trading analytics tools":29,"structured equity products":29},[679,170,680,681,682,683,684,685,686],"Equity derivatives","Market risk management","Hedging strategies","Structured equity products","e-Trading platforms","Price management","Feedback analysis","Trading analytics tools",0.5,{"industry":689,"employment_type":774,"expertise_skills":789,"it_skills":865,"salary_currency":946,"processed_working_hours":1014},[690,694,698,702,706,710,714,717,721,725,729,733,736,740,743,747,749,752,756,760,762,765,768,771],{"key":691,"label":692,"count":693},"financial services","Financial Services",938,{"key":695,"label":696,"count":697},"insurance","Insurance",550,{"key":699,"label":700,"count":701},"banking","Banking",490,{"key":703,"label":704,"count":705},"financial markets infrastructure","Financial Markets Infrastructure",240,{"key":707,"label":708,"count":709},"data","Data",139,{"key":711,"label":712,"count":713},"data provider","Data Provider",107,{"key":715,"label":266,"count":716},"asset management",106,{"key":718,"label":719,"count":720},"financial technology","Financial Technology",33,{"key":722,"label":723,"count":724},"wealth management","Wealth Management",22,{"key":726,"label":727,"count":728},"digital banking","Digital Banking",15,{"key":730,"label":731,"count":732},"property","Property",11,{"key":734,"label":735,"count":732},"casualty insurance","Casualty Insurance",{"key":737,"label":738,"count":739},"reinsurance","Reinsurance",10,{"key":741,"label":742,"count":739},"alternative investments","Alternative Investments",{"key":744,"label":745,"count":746},"financial advisory","Financial Advisory",9,{"key":748,"label":83,"count":746},"risk management",{"key":750,"label":751,"count":746},"financial market infrastructure","Financial Market Infrastructure",{"key":753,"label":754,"count":755},"technology solutions","Technology Solutions",7,{"key":757,"label":758,"count":759},"alternative asset management","Alternative Asset Management",5,{"key":761,"label":147,"count":38},"claims management",{"key":763,"label":764,"count":38},"private banking","Private Banking",{"key":766,"label":767,"count":29},"private equity","Private Equity",{"key":769,"label":770,"count":29},"vehicle leasing","Vehicle Leasing",{"key":772,"label":773,"count":29},"fleet management","Fleet Management",[775,778,782,785],{"key":60,"label":776,"count":777},"PERMANENT",1900,{"key":779,"label":780,"count":781},"student","STUDENT",119,{"key":27,"label":783,"count":784},"TEMPORARY",29,{"key":786,"label":787,"count":788},"contract","CONTRACT",16,[790,793,796,799,803,806,809,812,815,818,822,825,827,829,832,835,839,843,847,850,853,856,858,861],{"key":791,"label":120,"slug":791,"count":792},"data-analysis",345,{"key":794,"label":83,"slug":794,"count":795},"risk-management",327,{"key":797,"label":78,"slug":797,"count":798},"data-governance",223,{"key":800,"label":801,"slug":800,"count":802},"project-management","Project management",210,{"key":804,"label":141,"slug":804,"count":805},"machine-learning",203,{"key":807,"label":661,"slug":807,"count":808},"regulatory-compliance",200,{"key":810,"label":43,"slug":810,"count":811},"automation",199,{"key":813,"label":250,"slug":813,"count":814},"data-engineering",161,{"key":816,"label":567,"slug":816,"count":817},"root-cause-analysis",141,{"key":819,"label":820,"slug":819,"count":821},"devops","Devops",134,{"key":823,"label":566,"slug":823,"count":824},"incident-management",132,{"key":826,"label":659,"slug":826,"count":824},"process-improvement",{"key":828,"label":530,"slug":828,"count":824},"agile-methodologies",{"key":830,"label":114,"slug":830,"count":831},"data-modeling",129,{"key":833,"label":178,"slug":833,"count":834},"data-visualization",128,{"key":836,"label":837,"slug":836,"count":838},"software-engineering","Software Engineering",123,{"key":840,"label":841,"slug":840,"count":842},"compliance","Compliance",121,{"key":844,"label":845,"slug":844,"count":846},"observability","Observability",112,{"key":848,"label":167,"slug":848,"count":849},"data-science",101,{"key":851,"label":80,"slug":851,"count":852},"change-management",98,{"key":854,"label":461,"slug":854,"count":855},"business-intelligence",94,{"key":857,"label":172,"slug":857,"count":855},"portfolio-management",{"key":859,"label":860,"slug":859,"count":855},"model-validation","Model Validation",{"key":862,"label":863,"slug":862,"count":864},"stakeholder-management","Stakeholder Management",93,[866,868,871,875,878,882,885,889,893,896,899,902,905,908,912,916,920,924,928,932,933,936,938,942],{"key":867,"label":31,"slug":867,"count":5},"python",{"key":869,"label":32,"slug":869,"count":870},"sql",1141,{"key":872,"label":873,"slug":872,"count":874},"aws","Aws",427,{"key":876,"label":102,"slug":876,"count":877},"ms-excel",409,{"key":879,"label":880,"slug":879,"count":881},"cicd","Ci\u002FCd",377,{"key":883,"label":545,"slug":883,"count":884},"java",355,{"key":886,"label":887,"slug":886,"count":888},"ms-powerbi","MS PowerBI",328,{"key":890,"label":891,"slug":890,"count":892},"ms-azure","MS Azure",320,{"key":894,"label":427,"slug":894,"count":895},"kubernetes",291,{"key":897,"label":287,"slug":897,"count":898},"r",288,{"key":900,"label":209,"slug":900,"count":901},"git",265,{"key":903,"label":585,"slug":903,"count":904},"terraform",250,{"key":906,"label":589,"slug":906,"count":907},"docker",231,{"key":909,"label":910,"slug":909,"count":911},"tableau","Tableau",191,{"key":913,"label":914,"slug":913,"count":915},"powershell","Powershell",179,{"key":917,"label":918,"slug":917,"count":919},"sas","Sas",159,{"key":921,"label":922,"slug":921,"count":923},"javascript","Javascript",146,{"key":925,"label":926,"slug":925,"count":927},"vba","Vba",144,{"key":929,"label":930,"slug":929,"count":931},"jenkins","Jenkins",140,{"key":804,"label":141,"slug":804,"count":709},{"key":934,"label":935,"slug":934,"count":709},"linux","Linux",{"key":937,"label":163,"slug":937,"count":709},"snowflake",{"key":939,"label":940,"slug":939,"count":941},"c","C#",138,{"key":943,"label":944,"slug":943,"count":945},"gcp","Gcp",133,[947,949,951,953,955,958,959,962,965,968,970,972,974,976,978,980,982,985,987,990,992,994,996,998,1000,1002,1004,1006,1008,1010,1012],{"key":98,"label":98,"count":948},704,{"key":134,"label":134,"count":950},342,{"key":354,"label":354,"count":952},229,{"key":23,"label":23,"count":954},173,{"key":956,"label":956,"count":957},"SGD",153,{"key":246,"label":246,"count":923},{"key":960,"label":960,"count":961},"MYR",85,{"key":963,"label":963,"count":964},"PHP",52,{"key":966,"label":966,"count":967},"HKD",37,{"key":969,"label":969,"count":720},"PLN",{"key":971,"label":971,"count":784},"CHF",{"key":392,"label":392,"count":973},18,{"key":503,"label":503,"count":975},14,{"key":977,"label":977,"count":732},"THB",{"key":979,"label":979,"count":746},"AUD",{"key":981,"label":981,"count":746},"VND",{"key":983,"label":983,"count":984},"CNY",8,{"key":986,"label":986,"count":984},"TRY",{"key":988,"label":988,"count":989},"PEN",6,{"key":991,"label":991,"count":759},"TWD",{"key":993,"label":993,"count":759},"LKR",{"key":995,"label":995,"count":759},"JPY",{"key":997,"label":997,"count":38},"HUF",{"key":999,"label":999,"count":38},"COP",{"key":1001,"label":1001,"count":29},"RON",{"key":1003,"label":1003,"count":62},"IDR",{"key":1005,"label":1005,"count":47},"MZN",{"key":1007,"label":1007,"count":47},"VES",{"key":1009,"label":1009,"count":47},"CLP",{"key":1011,"label":1011,"count":47},"KRW",{"key":1013,"label":1013,"count":47},"CZK",[1015,1017],{"key":26,"label":26,"count":1016},2078,{"key":1018,"label":1018,"count":1019},"PART_TIME",38,{"total":47,"jobs":1021},[]]