[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-python-global":3,"skill-page-filters-\u002Fde\u002Fjobs-by-skill\u002Fpython?page=72":4,"job-search-\u002Fde\u002Fjobs-by-skill\u002Fpython?page=72":380,"featured-jobs-\u002Fde\u002Fjobs-by-skill\u002Fpython?page=72":1060},{},{"industry":5,"employment_type":95,"expertise_skills":112,"it_skills":204,"salary_currency":296,"processed_working_hours":373},[6,10,14,18,22,26,30,34,38,42,46,50,53,57,60,64,67,70,74,78,82,85,89,92],{"key":7,"label":8,"count":9},"financial services","Financial Services",938,{"key":11,"label":12,"count":13},"insurance","Insurance",550,{"key":15,"label":16,"count":17},"banking","Banking",490,{"key":19,"label":20,"count":21},"financial markets infrastructure","Financial Markets Infrastructure",240,{"key":23,"label":24,"count":25},"data","Data",139,{"key":27,"label":28,"count":29},"data provider","Data Provider",107,{"key":31,"label":32,"count":33},"asset management","Asset Management",106,{"key":35,"label":36,"count":37},"financial technology","Financial Technology",33,{"key":39,"label":40,"count":41},"wealth management","Wealth Management",22,{"key":43,"label":44,"count":45},"digital banking","Digital Banking",15,{"key":47,"label":48,"count":49},"property","Property",11,{"key":51,"label":52,"count":49},"casualty insurance","Casualty Insurance",{"key":54,"label":55,"count":56},"reinsurance","Reinsurance",10,{"key":58,"label":59,"count":56},"alternative investments","Alternative Investments",{"key":61,"label":62,"count":63},"financial advisory","Financial Advisory",9,{"key":65,"label":66,"count":63},"risk management","Risk Management",{"key":68,"label":69,"count":63},"financial market infrastructure","Financial Market Infrastructure",{"key":71,"label":72,"count":73},"technology solutions","Technology Solutions",7,{"key":75,"label":76,"count":77},"alternative asset management","Alternative Asset Management",5,{"key":79,"label":80,"count":81},"claims management","Claims Management",4,{"key":83,"label":84,"count":81},"private banking","Private Banking",{"key":86,"label":87,"count":88},"private equity","Private Equity",3,{"key":90,"label":91,"count":88},"vehicle leasing","Vehicle Leasing",{"key":93,"label":94,"count":88},"fleet management","Fleet Management",[96,100,104,108],{"key":97,"label":98,"count":99},"permanent","PERMANENT",1900,{"key":101,"label":102,"count":103},"student","STUDENT",119,{"key":105,"label":106,"count":107},"temporary","TEMPORARY",29,{"key":109,"label":110,"count":111},"contract","CONTRACT",16,[113,117,120,124,128,132,136,140,144,148,152,156,159,162,166,170,174,178,182,186,190,194,197,200],{"key":114,"label":115,"slug":114,"count":116},"data-analysis","Data Analysis",345,{"key":118,"label":66,"slug":118,"count":119},"risk-management",327,{"key":121,"label":122,"slug":121,"count":123},"data-governance","Data Governance",223,{"key":125,"label":126,"slug":125,"count":127},"project-management","Project management",210,{"key":129,"label":130,"slug":129,"count":131},"machine-learning","Machine Learning",203,{"key":133,"label":134,"slug":133,"count":135},"regulatory-compliance","Regulatory Compliance",200,{"key":137,"label":138,"slug":137,"count":139},"automation","Automation",199,{"key":141,"label":142,"slug":141,"count":143},"data-engineering","Data Engineering",161,{"key":145,"label":146,"slug":145,"count":147},"root-cause-analysis","Root Cause Analysis",141,{"key":149,"label":150,"slug":149,"count":151},"devops","Devops",134,{"key":153,"label":154,"slug":153,"count":155},"incident-management","Incident Management",132,{"key":157,"label":158,"slug":157,"count":155},"process-improvement","Process Improvement",{"key":160,"label":161,"slug":160,"count":155},"agile-methodologies","Agile Methodologies",{"key":163,"label":164,"slug":163,"count":165},"data-modeling","Data Modeling",129,{"key":167,"label":168,"slug":167,"count":169},"data-visualization","Data Visualization",128,{"key":171,"label":172,"slug":171,"count":173},"software-engineering","Software Engineering",123,{"key":175,"label":176,"slug":175,"count":177},"compliance","Compliance",121,{"key":179,"label":180,"slug":179,"count":181},"observability","Observability",112,{"key":183,"label":184,"slug":183,"count":185},"data-science","Data Science",101,{"key":187,"label":188,"slug":187,"count":189},"change-management","Change Management",98,{"key":191,"label":192,"slug":191,"count":193},"business-intelligence","Business Intelligence",94,{"key":195,"label":196,"slug":195,"count":193},"portfolio-management","Portfolio Management",{"key":198,"label":199,"slug":198,"count":193},"model-validation","Model Validation",{"key":201,"label":202,"slug":201,"count":203},"stakeholder-management","Stakeholder Management",93,[205,209,213,217,221,225,229,233,237,241,245,249,253,257,261,265,269,273,277,281,282,285,288,292],{"key":206,"label":207,"slug":206,"count":208},"python","Python",2099,{"key":210,"label":211,"slug":210,"count":212},"sql","SQL",1141,{"key":214,"label":215,"slug":214,"count":216},"aws","Aws",427,{"key":218,"label":219,"slug":218,"count":220},"ms-excel","MS Excel",409,{"key":222,"label":223,"slug":222,"count":224},"cicd","Ci\u002FCd",377,{"key":226,"label":227,"slug":226,"count":228},"java","Java",355,{"key":230,"label":231,"slug":230,"count":232},"ms-powerbi","MS PowerBI",328,{"key":234,"label":235,"slug":234,"count":236},"ms-azure","MS Azure",320,{"key":238,"label":239,"slug":238,"count":240},"kubernetes","Kubernetes",291,{"key":242,"label":243,"slug":242,"count":244},"r","R",288,{"key":246,"label":247,"slug":246,"count":248},"git","Git",265,{"key":250,"label":251,"slug":250,"count":252},"terraform","Terraform",250,{"key":254,"label":255,"slug":254,"count":256},"docker","Docker",231,{"key":258,"label":259,"slug":258,"count":260},"tableau","Tableau",191,{"key":262,"label":263,"slug":262,"count":264},"powershell","Powershell",179,{"key":266,"label":267,"slug":266,"count":268},"sas","Sas",159,{"key":270,"label":271,"slug":270,"count":272},"javascript","Javascript",146,{"key":274,"label":275,"slug":274,"count":276},"vba","Vba",144,{"key":278,"label":279,"slug":278,"count":280},"jenkins","Jenkins",140,{"key":129,"label":130,"slug":129,"count":25},{"key":283,"label":284,"slug":283,"count":25},"linux","Linux",{"key":286,"label":287,"slug":286,"count":25},"snowflake","Snowflake",{"key":289,"label":290,"slug":289,"count":291},"c","C#",138,{"key":293,"label":294,"slug":293,"count":295},"gcp","Gcp",133,[297,300,303,306,309,312,314,317,320,323,325,327,330,333,335,337,339,342,344,347,349,351,353,355,357,359,362,365,367,369,371],{"key":298,"label":298,"count":299},"USD",704,{"key":301,"label":301,"count":302},"EUR",342,{"key":304,"label":304,"count":305},"INR",229,{"key":307,"label":307,"count":308},"CAD",173,{"key":310,"label":310,"count":311},"SGD",153,{"key":313,"label":313,"count":272},"GBP",{"key":315,"label":315,"count":316},"MYR",85,{"key":318,"label":318,"count":319},"PHP",52,{"key":321,"label":321,"count":322},"HKD",37,{"key":324,"label":324,"count":37},"PLN",{"key":326,"label":326,"count":107},"CHF",{"key":328,"label":328,"count":329},"MXN",18,{"key":331,"label":331,"count":332},"BRL",14,{"key":334,"label":334,"count":49},"THB",{"key":336,"label":336,"count":63},"AUD",{"key":338,"label":338,"count":63},"VND",{"key":340,"label":340,"count":341},"CNY",8,{"key":343,"label":343,"count":341},"TRY",{"key":345,"label":345,"count":346},"PEN",6,{"key":348,"label":348,"count":77},"TWD",{"key":350,"label":350,"count":77},"LKR",{"key":352,"label":352,"count":77},"JPY",{"key":354,"label":354,"count":81},"HUF",{"key":356,"label":356,"count":81},"COP",{"key":358,"label":358,"count":88},"RON",{"key":360,"label":360,"count":361},"IDR",2,{"key":363,"label":363,"count":364},"MZN",1,{"key":366,"label":366,"count":364},"VES",{"key":368,"label":368,"count":364},"CLP",{"key":370,"label":370,"count":364},"KRW",{"key":372,"label":372,"count":364},"CZK",[374,377],{"key":375,"label":375,"count":376},"FULL_TIME",2078,{"key":378,"label":378,"count":379},"PART_TIME",38,{"total":208,"jobs":381},[382,436,477,510,569,604,657,694,725,750,769,799,817,848,871,891,910,959,985,1032],{"id":383,"slug":384,"title":385,"raw_title":386,"is_featured":387,"company":388,"raw_hiringOrganization_logo_url":386,"processed_city_gmaps":391,"processed_country_iso_code_gmaps":392,"processed_home_office":394,"processed_salary_min":395,"processed_salary_max":396,"processed_salary_currency":298,"processed_salary_source":397,"processed_working_hours":398,"processed_employment_types":97,"processed_it_skills":399,"processed_it_skills_labels":400,"processed_job_expertise_skills":422,"processed_job_expertise_skills_labels":423,"max_cpc":364,"actual_cpc":364},77796,"endpoint-services-engineer-schoolsfirst-federal-credit-union","Endpoint Services Engineer",null,false,{"name":389,"slug":390,"logo_url":386},"SchoolsFirst Federal Credit Union","schoolsfirst-federal-credit-union",[],[393],"US","hybrid",97552,156083,"estimated",[375],{"ios":81,"mam":81,"mdm":81,"uem":81,"xdr":88,"bash":88,"macos":81,"python":88,"windows":81,"scripting":81,"automation":81,"cloud\u002Fsaas":81,"powershell":81,"zero trust":88,"group policy":81,"active directory":81,"security hardening":81,"identity management":81,"network integration":88,"backend infrastructure":88,"vulnerability management":81,"endpoint protection platform (epp)":81,"endpoint detection and response (edr)":81},[401,207,402,403,404,405,406,407,408,409,410,411,412,413,414,138,415,416,417,418,419,420,421],"PowerShell","Bash","Active Directory","Group Policy","MDM","MAM","Endpoint Protection Platform (EPP)","Endpoint Detection and Response (EDR)","XDR","Zero Trust","Cloud\u002FSaaS","macOS","Windows","iOS","Scripting","Vulnerability Management","Security Hardening","Identity Management","UEM","Network Integration","Backend Infrastructure",{"bsa regulations":361,"troubleshooting":81,"endpoint security":81,"incident response":81,"project leadership":81,"system performance":81,"endpoint management":81,"security compliance":81,"strategic oversight":81,"system optimization":81,"deployment pipelines":81,"regulatory compliance":88,"cross-functional teamwork":81},[424,425,426,134,427,428,429,430,431,432,433,434,435],"Endpoint Security","Endpoint Management","Security Compliance","BSA Regulations","Project Leadership","Strategic Oversight","Cross-functional Teamwork","Troubleshooting","System Optimization","Deployment Pipelines","Incident Response","System Performance",{"id":437,"slug":438,"title":439,"raw_title":386,"is_featured":387,"company":440,"raw_hiringOrganization_logo_url":386,"processed_city_gmaps":443,"processed_country_iso_code_gmaps":445,"processed_home_office":394,"processed_salary_min":446,"processed_salary_max":447,"processed_salary_currency":298,"processed_salary_source":397,"processed_working_hours":448,"processed_employment_types":97,"processed_it_skills":449,"processed_it_skills_labels":450,"processed_job_expertise_skills":467,"processed_job_expertise_skills_labels":468,"max_cpc":364,"actual_cpc":364},88470,"senior-software-engineer-technical-lead-bsi-claude-github-python-netc-angular-aws-travelers-indemnity-co","Senior Software Engineer (Technical Lead) BSI - (Claude, GitHub, Python, NET\u002FC#, Angular, AWS)",{"name":441,"slug":442,"logo_url":386},"Travelers Indemnity Co","travelers-indemnity-co",[444],"Hartford",[393],139400,230000,[375],{"aws":81,"ocf":88,"ci\u002Fcd":81,"github":81,"python":81,".net\u002Fc#":81,"angular":81,"mongodb":88,"testing":81,"agentcore":81,"langgraph":81,"api design":81,"documentdb":88,"sql server":88,"claude agent sdk":81,"distributed systems":81,"llm apis (anthropic, openai)":81},[451,207,452,453,454,455,456,457,458,459,460,461,462,463,464,465,466],"GitHub",".NET\u002FC#","Angular","AWS","OCF","MongoDB","DocumentDB","SQL Server","Claude Agent SDK","LangGraph","AgentCore","LLM APIs (Anthropic, OpenAI)","CI\u002FCD","API design","distributed systems","testing",{"tool use":81,"retrieval":81,"evaluation":81,"observability":81,"genai adoption":81,"agent frameworks":81,"technical direction":81,"multi-step workflows":81,"software engineering":81,"production systems with llms":81},[172,469,470,471,472,473,474,475,476,180],"GenAI adoption","Agent frameworks","Technical direction","Production systems with LLMs","Tool use","Retrieval","Multi-step workflows","Evaluation",{"id":478,"slug":479,"title":480,"raw_title":386,"is_featured":387,"company":481,"raw_hiringOrganization_logo_url":386,"processed_city_gmaps":482,"processed_country_iso_code_gmaps":484,"processed_home_office":394,"processed_salary_min":446,"processed_salary_max":447,"processed_salary_currency":298,"processed_salary_source":397,"processed_working_hours":485,"processed_employment_types":97,"processed_it_skills":486,"processed_it_skills_labels":487,"processed_job_expertise_skills":497,"processed_job_expertise_skills_labels":498,"max_cpc":364,"actual_cpc":364},88494,"director-software-engineer-travelers-indemnity-co","Director Software Engineer",{"name":441,"slug":442,"logo_url":386},[483],"Atlanta",[393],[375],{"aws":81,"azure":88,"ci\u002Fcd":81,"python":81,"aws cdk":88,"jenkins":88,"terraform":81,"agentic ai":81,"kubernetes":81,"typescript":88,"generative ai":81,"github actions":81,"distributed tracing":88,"observability tools":88,"infrastructure as code":81},[207,488,454,489,239,251,490,491,279,492,493,494,495,463,496],"TypeScript","Azure","AWS CDK","GitHub Actions","Generative AI","Agentic AI","Observability Tools","Distributed Tracing","Infrastructure as Code",{"alerting":88,"debugging":81,"system design":81,"test automation":81,"troubleshooting":81,"health monitoring":88,"distributed systems":81,"software engineering":81,"software architecture":81,"ai solution deployment":81,"technical documentation":88,"secure-by-design development":81,"production-grade application development":81},[172,499,500,501,502,503,504,505,506,507,431,508,509],"Software Architecture","System Design","Test Automation","Production-Grade Application Development","Secure-by-Design Development","Distributed Systems","AI Solution Deployment","Technical Documentation","Debugging","Health Monitoring","Alerting",{"id":511,"slug":512,"title":513,"raw_title":386,"is_featured":387,"company":514,"raw_hiringOrganization_logo_url":386,"processed_city_gmaps":517,"processed_country_iso_code_gmaps":519,"processed_home_office":394,"processed_salary_min":520,"processed_salary_max":521,"processed_salary_currency":298,"processed_salary_source":397,"processed_working_hours":522,"processed_employment_types":97,"processed_it_skills":523,"processed_it_skills_labels":524,"processed_job_expertise_skills":546,"processed_job_expertise_skills_labels":547,"max_cpc":364,"actual_cpc":364},83619,"product-manager-self-service-data-platform-government-employees-insurance-company","Product Manager, Self-Service Data Platform",{"name":515,"slug":516,"logo_url":386},"Government Employees Insurance Company","government-employees-insurance-company",[518],"Bethesda",[393],95325,157850,[375],{"sql":88,"apis":88,"sdks":88,"python":361,"tableau":361,"power bi":361,"lineage tools":361,"query engines":88,"metrics layers":88,"apache superset":361,"semantic models":88,"governance tools":361,"knowledge graphs":361,"jupyter notebooks":361,"ontology modeling":88,"compute frameworks":88,"data catalog tools":361,"data modeling tools":88,"cloud data ecosystems":88,"cloud data warehouses":88,"lakehouse architectures":361,"distributed data systems":361,"enterprise bi ecosystems":88,"metadata management tools":361},[525,526,259,527,211,207,528,529,530,531,532,533,534,535,536,537,538,539,540,541,542,543,544,545],"Jupyter Notebooks","Apache Superset","Power BI","APIs","SDKs","Cloud Data Ecosystems","Query Engines","Compute Frameworks","Data Modeling Tools","Metadata Management Tools","Data Catalog Tools","Lineage Tools","Governance Tools","Knowledge Graphs","Semantic Models","Metrics Layers","Ontology Modeling","Lakehouse Architectures","Cloud Data Warehouses","Distributed Data Systems","Enterprise BI Ecosystems",{"training":88,"telemetry":88,"data modeling":88,"documentation":88,"observability":88,"ai\u002Fml concepts":88,"instrumentation":88,"semantic layers":88,"governed metrics":88,"roadmap planning":81,"data architecture":88,"ontology concepts":88,"product analytics":88,"vendor management":88,"product management":81,"user story writing":81,"metadata management":88,"generative ai concepts":88,"stakeholder engagement":81,"business glossary practices":88,"regulated industry experience":88,"business intelligence concepts":88,"data platform product management":81},[548,549,550,164,551,552,553,554,555,556,557,558,559,560,561,180,562,563,564,565,566,567,568],"Product Management","Data Platform Product Management","Data Architecture","Business Intelligence Concepts","AI\u002FML Concepts","Generative AI Concepts","Semantic Layers","Governed Metrics","Metadata Management","Ontology Concepts","Business Glossary Practices","Product Analytics","Instrumentation","Telemetry","Roadmap Planning","User Story Writing","Stakeholder Engagement","Training","Documentation","Vendor Management","Regulated Industry Experience",{"id":570,"slug":571,"title":572,"raw_title":386,"is_featured":387,"company":573,"raw_hiringOrganization_logo_url":386,"processed_city_gmaps":576,"processed_country_iso_code_gmaps":578,"processed_home_office":579,"processed_salary_min":580,"processed_salary_max":581,"processed_salary_currency":298,"processed_salary_source":397,"processed_working_hours":582,"processed_employment_types":97,"processed_it_skills":583,"processed_it_skills_labels":584,"processed_job_expertise_skills":587,"processed_job_expertise_skills_labels":588,"max_cpc":364,"actual_cpc":364},72332,"assistant-vice-president-6301-db-usa-core-corporation-4","Assistant Vice President",{"name":574,"slug":575,"logo_url":386},"6301 DB USA Core Corporation","6301-db-usa-core-corporation",[577],"New York",[393],"onsite",130000,140000,[375],{"sql":88,"excel":88,"python":361,"financial systems":88},[585,211,207,586],"Excel","Financial Systems",{"sox controls":81,"rwa reporting":81,"ledger entries":81,"risk management":81,"ifrs requirements":81,"month-end closing":81,"capital management":81,"audit documentation":81,"liquidity management":81,"trade flow validation":81,"balance sheet analysis":81,"reconciliation of p&l data":81,"funding activities analysis":81,"financial systems migrations":81,"standardization and automation":81,"p&l review and variance analysis":81},[589,590,66,591,592,593,594,595,596,597,598,599,600,601,602,603],"Liquidity Management","Capital Management","Standardization and Automation","Reconciliation of P&L Data","Balance Sheet Analysis","IFRS Requirements","Trade Flow Validation","Month-End Closing","Financial Systems Migrations","Ledger Entries","RWA Reporting","Funding Activities Analysis","P&L Review and Variance Analysis","SOX Controls","Audit Documentation",{"id":605,"slug":606,"title":607,"raw_title":386,"is_featured":387,"company":608,"raw_hiringOrganization_logo_url":386,"processed_city_gmaps":611,"processed_country_iso_code_gmaps":613,"processed_home_office":579,"processed_salary_min":615,"processed_salary_max":616,"processed_salary_currency":310,"processed_salary_source":397,"processed_working_hours":617,"processed_employment_types":97,"processed_it_skills":618,"processed_it_skills_labels":619,"processed_job_expertise_skills":635,"processed_job_expertise_skills_labels":636,"max_cpc":364,"actual_cpc":364},79276,"vp-advanced-ai-risk-specialist-united-overseas-bank-ltd","VP – Advanced AI Risk Specialist",{"name":609,"slug":610,"logo_url":386},"United Overseas Bank Ltd","united-overseas-bank-ltd",[612],"Singapore",[614],"SG",120000,180000,[375],{"mcp":88,"rag":88,"apis":88,"crewai":88,"openai":88,"python":88,"autogen":88,"azure ai":88,"anthropic":88,"langchain":88,"langgraph":88,"aws bedrock":88,"data pipelines":88,"model gateways":88,"semantic kernel":88,"vector databases":88,"ai observability tooling":88,"orchestration frameworks":88},[207,620,460,621,622,623,624,625,626,627,628,629,630,631,632,633,528,634],"LangChain","Semantic Kernel","AutoGen","CrewAI","OpenAI","Anthropic","Azure AI","AWS Bedrock","RAG","MCP","Vector Databases","AI Observability Tooling","Model Gateways","Orchestration Frameworks","Data Pipelines",{"prototyping":88,"red teaming":88,"control testing":81,"applied research":88,"horizon scanning":88,"scenario testing":88,"evaluation design":88,"ai risk frameworks":88,"ai risk governance":81,"adversarial testing":88,"uncertainty analysis":88,"benchmark construction":88,"independent validation":81,"test-suite development":88,"model behavior analysis":88,"agentic ai risk assessment":81,"third-party risk assessment":88,"proof-of-concept development":88,"generative ai risk assessment":81,"monitoring effectiveness reviews":88},[637,638,639,640,641,642,643,644,645,646,647,648,649,650,651,652,653,654,655,656],"AI Risk Governance","Generative AI Risk Assessment","Agentic AI Risk Assessment","Independent Validation","Control Testing","Third-Party Risk Assessment","Adversarial Testing","Red Teaming","Model Behavior Analysis","Horizon Scanning","Applied Research","AI Risk Frameworks","Prototyping","Proof-of-Concept Development","Evaluation Design","Benchmark Construction","Test-Suite Development","Scenario Testing","Uncertainty Analysis","Monitoring Effectiveness Reviews",{"id":658,"slug":659,"title":660,"raw_title":386,"is_featured":387,"company":661,"raw_hiringOrganization_logo_url":664,"processed_city_gmaps":665,"processed_country_iso_code_gmaps":667,"processed_home_office":394,"processed_salary_min":669,"processed_salary_max":670,"processed_salary_currency":301,"processed_salary_source":397,"processed_working_hours":671,"processed_employment_types":97,"processed_it_skills":672,"processed_it_skills_labels":673,"processed_job_expertise_skills":678,"processed_job_expertise_skills_labels":679,"max_cpc":364,"actual_cpc":364},78138,"senior-fullstack-software-engineer-analyze-report-fmd-solactive-ag","Senior Fullstack Software Engineer, Analyze & Report (f\u002Fm\u002Fd)",{"name":662,"slug":663,"logo_url":386},"Solactive AG","solactive-ag","https:\u002F\u002Fassets.cdn.personio.de\u002Flogos\u002F2585\u002Fsocial\u002F1512344f754608e10e32c9c4a884a86d.jpg",[666],"Frankfurt am Main",[668],"DE",80000,110000,[375],{"sql":81,"java":81,"ci\u002Fcd":88,"docker":88,"python":361,"typescript":361,"gcp pub\u002Fsub":88,"spring boot":81,"apache kafka":81,"cloud platforms (gcp\u002Faws\u002Fazure)":88},[227,674,675,676,211,255,463,207,488,677],"Spring Boot","Apache Kafka","GCP Pub\u002FSub","Cloud Platforms (GCP\u002FAWS\u002FAzure)",{"orchestration":88,"api development":81,"containerization":88,"devops practices":88,"query optimization":81,"index data knowledge":361,"regulatory reporting":361,"backend service design":81,"scalable systems design":81,"resilient systems design":81,"event-driven architecture":81,"financial domain knowledge":361,"relational database design":81,"document rendering pipelines":88},[680,681,682,683,684,685,686,687,688,689,690,691,692,693],"Backend Service Design","Event-Driven Architecture","API Development","Document Rendering Pipelines","Relational Database Design","Query Optimization","Containerization","Orchestration","DevOps Practices","Scalable Systems Design","Resilient Systems Design","Financial Domain Knowledge","Index Data Knowledge","Regulatory Reporting",{"id":695,"slug":696,"title":697,"raw_title":386,"is_featured":387,"company":698,"raw_hiringOrganization_logo_url":386,"processed_city_gmaps":701,"processed_country_iso_code_gmaps":703,"processed_home_office":579,"processed_salary_min":704,"processed_salary_max":705,"processed_salary_currency":298,"processed_salary_source":397,"processed_working_hours":706,"processed_employment_types":97,"processed_it_skills":707,"processed_it_skills_labels":708,"processed_job_expertise_skills":714,"processed_job_expertise_skills_labels":715,"max_cpc":364,"actual_cpc":364},76869,"network-automation-product-manager-federal-reserve-bank-of-richmond","Network Automation Product Manager",{"name":699,"slug":700,"logo_url":386},"Federal Reserve Bank of Richmond","federal-reserve-bank-of-richmond",[702],"Richmond",[393],113000,186800,[375],{"python":81,"ansible":81,"terraform":81,"api security":88,"network automation":81,"credential vaulting":88,"software-defined networking":88},[709,251,207,710,711,712,713],"Ansible","Network Automation","Software-Defined Networking","API Security","Credential Vaulting",{"firewalls":81,"kpi tracking":88,"vpn services":81,"product management":81,"network engineering":81,"roadmap development":81,"routing and switching":81,"zero-trust architecture":81,"regulated environment experience":88,"compliance frameworks (nist, fedramp, cmmc, iso 27001)":88},[548,716,717,718,719,720,721,722,723,724],"Network Engineering","Routing and Switching","Firewalls","VPN Services","Zero-Trust Architecture","Compliance Frameworks (NIST, FedRAMP, CMMC, ISO 27001)","Regulated Environment Experience","Roadmap Development","KPI Tracking",{"id":726,"slug":727,"title":728,"raw_title":386,"is_featured":387,"company":729,"raw_hiringOrganization_logo_url":386,"processed_city_gmaps":732,"processed_country_iso_code_gmaps":734,"processed_home_office":579,"processed_salary_min":736,"processed_salary_max":737,"processed_salary_currency":318,"processed_salary_source":397,"processed_working_hours":738,"processed_employment_types":97,"processed_it_skills":739,"processed_it_skills_labels":740,"processed_job_expertise_skills":742,"processed_job_expertise_skills_labels":743,"max_cpc":364,"actual_cpc":364},75177,"associate-customer-success-manager-refinitiv-asia-pte-ltd-philippine-branch","Associate Customer Success Manager",{"name":730,"slug":731,"logo_url":386},"Refinitiv Asia Pte. Ltd. Philippine Branch","refinitiv-asia-pte-ltd-philippine-branch",[733],"Taguig",[735],"PH",600000,900000,[375],{"python":361,"microsoft office":88},[741,207],"Microsoft Office",{"data analysis":88,"revenue growth":88,"risk mitigation":88,"product adoption":88,"customer education":88,"customer success management":88,"financial markets knowledge":88},[744,745,746,747,115,748,749],"Customer Success Management","Financial Markets Knowledge","Product Adoption","Customer Education","Risk Mitigation","Revenue Growth",{"id":751,"slug":752,"title":753,"raw_title":386,"is_featured":387,"company":754,"raw_hiringOrganization_logo_url":386,"processed_city_gmaps":755,"processed_country_iso_code_gmaps":756,"processed_home_office":394,"processed_salary_min":757,"processed_salary_max":758,"processed_salary_currency":298,"processed_salary_source":397,"processed_working_hours":759,"processed_employment_types":97,"processed_it_skills":760,"processed_it_skills_labels":761,"processed_job_expertise_skills":764,"processed_job_expertise_skills_labels":765,"max_cpc":364,"actual_cpc":364},88427,"data-engineer-i-databricks-aws-python-travelers-indemnity-co","Data Engineer I (Databricks, AWS, Python)",{"name":441,"slug":442,"logo_url":386},[444],[393],109300,180200,[375],{"aws":81,"sql":81,"openai":88,"python":81,"terraform":88,"api design":88,"databricks":81,"aws bedrock":88},[207,211,454,762,251,763,624,627],"Databricks","API Design",{"data quality":88,"data security":88,"data governance":88,"data engineering":81,"software engineering practices":88},[142,122,766,767,768],"Data Security","Data Quality","Software Engineering Practices",{"id":770,"slug":771,"title":772,"raw_title":386,"is_featured":387,"company":773,"raw_hiringOrganization_logo_url":386,"processed_city_gmaps":776,"processed_country_iso_code_gmaps":778,"processed_home_office":579,"processed_salary_min":669,"processed_salary_max":779,"processed_salary_currency":298,"processed_salary_source":397,"processed_working_hours":780,"processed_employment_types":97,"processed_it_skills":781,"processed_it_skills_labels":782,"processed_job_expertise_skills":787,"processed_job_expertise_skills_labels":788,"max_cpc":364,"actual_cpc":364},69113,"analyst-investment-strategy-ares-wealth-management-solutions-ares-operations-llc","Analyst, Investment Strategy, Ares Wealth Management Solutions",{"name":774,"slug":775,"logo_url":386},"Ares Operations LLC","ares-operations-llc",[777],"Denver",[393],100000,[375],{"r":88,"word":88,"excel":81,"python":88,"bloomberg":361,"powerpoint":88,"ai coding tools":361},[585,783,784,243,207,785,786],"PowerPoint","Word","AI coding tools","Bloomberg",{"risk management":88,"asset allocation":88,"process automation":88,"investment research":88,"market data analysis":88,"portfolio construction":88,"private markets investing":88,"client-facing content creation":88,"investment policy and strategy":88,"quantitative portfolio analysis":88},[789,790,791,792,793,794,795,796,797,798],"Portfolio construction","Private markets investing","Quantitative portfolio analysis","Investment research","Asset allocation","Risk management","Investment policy and strategy","Market data analysis","Process automation","Client-facing content creation",{"id":800,"slug":801,"title":802,"raw_title":386,"is_featured":387,"company":803,"raw_hiringOrganization_logo_url":386,"processed_city_gmaps":804,"processed_country_iso_code_gmaps":805,"processed_home_office":579,"processed_salary_min":615,"processed_salary_max":616,"processed_salary_currency":310,"processed_salary_source":397,"processed_working_hours":806,"processed_employment_types":97,"processed_it_skills":807,"processed_it_skills_labels":808,"processed_job_expertise_skills":809,"processed_job_expertise_skills_labels":810,"max_cpc":364,"actual_cpc":364},79278,"vp-advanced-ai-risk-specialist-united-overseas-bank-ltd-2","VP, Advanced AI Risk Specialist",{"name":609,"slug":610,"logo_url":386},[612],[614],[375],{"mcp":88,"rag":88,"apis":88,"crewai":88,"openai":88,"python":88,"autogen":88,"azure ai":88,"anthropic":88,"langchain":88,"langgraph":88,"aws bedrock":88,"data pipelines":88,"model gateways":88,"semantic kernel":88,"vector databases":88,"ai observability tooling":88,"orchestration frameworks":88},[207,620,460,621,622,623,624,625,626,627,628,629,630,631,632,633,528,634],{"red teaming":81,"ai guardrails":81,"applied research":81,"horizon scanning":81,"ai risk frameworks":81,"ai risk governance":81,"adversarial testing":81,"ai control patterns":81,"prototype development":81,"independent validation":81,"evaluation benchmarking":81,"model behavior analysis":81,"agentic ai risk assessment":81,"third-party risk assessment":81,"proof-of-concept development":81,"control effectiveness testing":81,"generative ai risk assessment":81,"senior management communication":81},[637,638,639,640,811,642,643,644,812,645,646,647,813,650,648,814,815,816],"Control Effectiveness Testing","Evaluation Benchmarking","Prototype Development","AI Control Patterns","AI Guardrails","Senior Management Communication",{"id":818,"slug":819,"title":820,"raw_title":386,"is_featured":387,"company":821,"raw_hiringOrganization_logo_url":386,"processed_city_gmaps":824,"processed_country_iso_code_gmaps":825,"processed_home_office":394,"processed_salary_min":669,"processed_salary_max":615,"processed_salary_currency":298,"processed_salary_source":397,"processed_working_hours":826,"processed_employment_types":97,"processed_it_skills":827,"processed_it_skills_labels":828,"processed_job_expertise_skills":833,"processed_job_expertise_skills_labels":834,"max_cpc":364,"actual_cpc":364},73787,"risk-analyst-invesco-advisors-inc","Risk Analyst",{"name":822,"slug":823,"logo_url":386},"Invesco Advisors Inc.","invesco-advisors-inc",[483],[393],[375],{"r":88,"sql":88,"python":88,"tableau":361,"power bi":361,"msci barraone":361,"bloomberg port":361,"msci riskmetrics":361,"blackrock aladdin":361},[207,243,211,527,259,829,830,831,832],"BlackRock Aladdin","MSCI RiskMetrics","MSCI BarraOne","Bloomberg PORT",{"cfa":361,"frm":361,"derivatives":88,"market risk":81,"data analysis":81,"liquidity risk":81,"risk management":81,"concentration risk":81,"international markets":88,"investment management":88,"quantitative analysis":81,"portfolio risk analysis":81,"statistical programming":81,"fixed income investments":81,"risk models and methodologies":81},[66,835,836,837,838,839,115,840,841,842,843,844,845,846,847],"Fixed Income Investments","Derivatives","International Markets","Risk Models and Methodologies","Statistical Programming","Quantitative Analysis","Portfolio Risk Analysis","Market Risk","Liquidity Risk","Concentration Risk","Investment Management","CFA","FRM",{"id":849,"slug":850,"title":851,"raw_title":386,"is_featured":387,"company":852,"raw_hiringOrganization_logo_url":386,"processed_city_gmaps":853,"processed_country_iso_code_gmaps":854,"processed_home_office":579,"processed_salary_min":855,"processed_salary_max":856,"processed_salary_currency":298,"processed_salary_source":397,"processed_working_hours":857,"processed_employment_types":97,"processed_it_skills":858,"processed_it_skills_labels":859,"processed_job_expertise_skills":863,"processed_job_expertise_skills_labels":864,"max_cpc":364,"actual_cpc":364},88464,"senior-director-behavioral-scientist-travelers-indemnity-co","Senior Director, Behavioral Scientist",{"name":441,"slug":442,"logo_url":386},[444],[393],126500,208700,[375],{"r":88,"sas":88,"excel":88,"python":88,"natural language processing":88,"design thinking collaboration software":88},[585,243,860,207,861,862],"SAS","Natural Language Processing","Design Thinking Collaboration Software",{"data analysis":81,"user research":81,"design thinking":81,"change management":88,"behavioral science":81,"experimental design":81,"product development":88,"financial impact analysis":88},[865,866,115,867,868,188,869,870],"Behavioral Science","Experimental Design","User Research","Design Thinking","Product Development","Financial Impact Analysis",{"id":872,"slug":873,"title":874,"raw_title":386,"is_featured":387,"company":875,"raw_hiringOrganization_logo_url":386,"processed_city_gmaps":876,"processed_country_iso_code_gmaps":877,"processed_home_office":394,"processed_salary_min":446,"processed_salary_max":447,"processed_salary_currency":298,"processed_salary_source":397,"processed_working_hours":878,"processed_employment_types":97,"processed_it_skills":879,"processed_it_skills_labels":880,"processed_job_expertise_skills":884,"processed_job_expertise_skills_labels":885,"max_cpc":364,"actual_cpc":364},88433,"director-data-engineering-underwriting-analytics-travelers-indemnity-co","Director, Data Engineering (Underwriting Analytics)",{"name":441,"slug":442,"logo_url":386},[444],[393],[375],{"sql":88,"python":88,"databricks":88,"ci\u002Fcd pipelines":361,"devops practices":361,"aws cloud services":88},[881,207,762,882,883,211],"AWS Cloud Services","CI\u002FCD pipelines","DevOps practices",{"data governance":88,"data engineering":81,"roadmap development":88,"data solutions design":81,"underwriting analytics":88,"process standardization":88,"machine learning pipelines":81,"insurance industry knowledge":361},[142,886,122,887,888,889,723,890],"Machine Learning Pipelines","Data Solutions Design","Underwriting Analytics","Insurance Industry Knowledge","Process Standardization",{"id":892,"slug":893,"title":894,"raw_title":386,"is_featured":387,"company":895,"raw_hiringOrganization_logo_url":386,"processed_city_gmaps":896,"processed_country_iso_code_gmaps":897,"processed_home_office":579,"processed_salary_min":898,"processed_salary_max":899,"processed_salary_currency":298,"processed_salary_source":397,"processed_working_hours":900,"processed_employment_types":97,"processed_it_skills":901,"processed_it_skills_labels":902,"processed_job_expertise_skills":903,"processed_job_expertise_skills_labels":904,"max_cpc":364,"actual_cpc":364},88432,"director-behavioral-scientist-travelers-indemnity-co","Director, Behavioral Scientist",{"name":441,"slug":442,"logo_url":386},[444],[393],114700,189200,[375],{"r":88,"sas":88,"excel":88,"python":88,"natural language processing":88,"design thinking collaboration software":361},[585,243,860,207,861,862],{"data analysis":81,"user research":81,"experimental research":81,"semi-structured interviews":81,"design thinking facilitation":81,"insurance industry knowledge":88,"behavioral science frameworks":81,"statistically based text analysis":88},[905,906,115,907,908,867,909,889],"Behavioral Science Frameworks","Experimental Research","Semi-structured Interviews","Design Thinking Facilitation","Statistically Based Text Analysis",{"id":911,"slug":912,"title":913,"raw_title":386,"is_featured":387,"company":914,"raw_hiringOrganization_logo_url":386,"processed_city_gmaps":915,"processed_country_iso_code_gmaps":917,"processed_home_office":394,"processed_salary_min":918,"processed_salary_max":919,"processed_salary_currency":298,"processed_salary_source":397,"processed_working_hours":920,"processed_employment_types":97,"processed_it_skills":921,"processed_it_skills_labels":922,"processed_job_expertise_skills":947,"processed_job_expertise_skills_labels":948,"max_cpc":364,"actual_cpc":364},83771,"distinguished-engineer-ai-applications-government-employees-insurance-company","Distinguished Engineer, AI Applications",{"name":515,"slug":516,"logo_url":386},[916],"Palo Alto",[393],210000,350000,[375],{"aws":81,"rag":81,"ray":81,"sql":88,"llms":81,"azure":81,"ci\u002Fcd":81,"kafka":81,"spark":81,"milvus":81,"python":81,"qdrant":81,"airflow":81,"prefect":81,"pinecone":81,"temporal":81,"weaviate":81,"langchain":81,"langsmith":81,"snowflake":81,"kubernetes":81,"llamaindex":81,"arize phoenix":81,"elasticsearch":81,"generative ai":81,"opentelemetry":81,"feature stores":81,"nosql databases":81,"vector databases":81,"weights & biases":81,"agentic frameworks":81,"embedding pipelines":81,"multi-agent systems":81,"relational databases":81},[207,211,923,924,925,926,927,287,928,929,930,931,932,933,934,620,935,936,937,938,939,463,239,454,489,940,492,628,941,942,943,944,945,946],"Elasticsearch","Qdrant","Milvus","Pinecone","Weaviate","NoSQL databases","Kafka","Spark","Ray","Airflow","Temporal","Prefect","LlamaIndex","LangSmith","Arize Phoenix","Weights & Biases","OpenTelemetry","LLMs","Agentic frameworks","Multi-agent systems","Vector databases","Embedding pipelines","Feature stores","Relational databases",{"roadmapping":81,"system design":81,"technical strategy":81,"production operations":81,"technology evaluation":81,"build vs. buy analysis":81,"enterprise architecture":81,"business impact assessment":81,"ai\u002Fml platform architecture":81,"software development lifecycle":81,"generative ai application development":81},[949,950,951,952,500,953,954,955,956,957,958],"Enterprise Architecture","AI\u002FML Platform Architecture","Generative AI Application Development","Technical Strategy","Technology Evaluation","Software Development Lifecycle","Production Operations","Build vs. Buy Analysis","Roadmapping","Business Impact Assessment",{"id":960,"slug":961,"title":962,"raw_title":386,"is_featured":387,"company":963,"raw_hiringOrganization_logo_url":386,"processed_city_gmaps":966,"processed_country_iso_code_gmaps":968,"processed_home_office":394,"processed_salary_min":970,"processed_salary_max":971,"processed_salary_currency":304,"processed_salary_source":397,"processed_working_hours":972,"processed_employment_types":97,"processed_it_skills":973,"processed_it_skills_labels":974,"processed_job_expertise_skills":976,"processed_job_expertise_skills_labels":977,"max_cpc":364,"actual_cpc":364},75086,"engineer-site-reliability-engineering-refinitiv-india-shared-services-private-limited","Engineer, Site Reliability Engineering",{"name":964,"slug":965,"logo_url":386},"Refinitiv India Shared Services Private Limited","refinitiv-india-shared-services-private-limited",[967],"Bengaluru",[969],"IN",2000000,3500000,[375],{"c#":88,"aws":88,"sql":88,"bash":88,"java":88,"azure":88,"linux":88,"python":88,"datadog":88,"kubernetes":88,"infrastructure as code":88},[402,207,227,290,211,496,489,454,239,975,284],"Datadog",{"devops":81,"algorithms":88,"observability":81,"cloud migration":88,"data structures":88,"incident response":81,"distributed systems":81,"root cause analysis":81,"architectural reviews":88,"financial trading systems":88,"site reliability engineering":81},[978,979,504,180,434,146,980,981,982,983,984],"Site Reliability Engineering","DevOps","Cloud Migration","Architectural Reviews","Financial Trading Systems","Algorithms","Data Structures",{"id":986,"slug":987,"title":988,"raw_title":386,"is_featured":387,"company":989,"raw_hiringOrganization_logo_url":386,"processed_city_gmaps":990,"processed_country_iso_code_gmaps":991,"processed_home_office":394,"processed_salary_min":669,"processed_salary_max":615,"processed_salary_currency":298,"processed_salary_source":397,"processed_working_hours":992,"processed_employment_types":97,"processed_it_skills":993,"processed_it_skills_labels":994,"processed_job_expertise_skills":1009,"processed_job_expertise_skills_labels":1010,"max_cpc":364,"actual_cpc":364},75095,"pki-certificate-management-security-identity-engineer-refinitiv-india-shared-services-private-limited","PKI Certificate Management - Security Identity Engineer",{"name":964,"slug":965,"logo_url":386},[967],[969],[375],{"aws":81,"gcp":81,"apis":81,"bash":81,"ntlm":81,"oidc":81,"saml":81,"azure":81,"ejbca":81,"oauth":81,"python":81,"entrust":81,"sectigo":81,"digicert":81,"entra id":81,"kerberos":81,"keyfactor":81,"kubernetes":81,"powershell":81,"microsoft ad cs":81,"active directory":81,"cyberark certificate manager (venafi)":81},[401,207,402,528,995,996,997,998,999,1000,1001,403,1002,1003,1004,1005,1006,1007,489,454,1008,239],"Microsoft AD CS","CyberArk Certificate Manager (Venafi)","DigiCert","Keyfactor","Entrust","Sectigo","EJBCA","Entra ID","Kerberos","NTLM","SAML","OAuth","OIDC","GCP",{"aia":81,"cdp":81,"crl":81,"csp":81,"hsm":81,"ksp":81,"ocsp":81,"code signing":81,"key management":81,"incident response":81,"security protocols":81,"x.509 certificates":81,"identity federation":81,"networking protocols":81,"cryptographic controls":81,"certificate authorities":81,"pki architecture design":81,"software supply chain security":81,"post-quantum cryptography (pqc)":81,"public key infrastructure (pki)":81,"site reliability engineering (sre)":81,"certificate lifecycle management (clm)":81},[1011,1012,1013,1014,1015,1016,1017,1018,1019,1020,1021,1022,1023,1024,1025,1026,1027,434,1028,1029,1030,1031],"Public Key Infrastructure (PKI)","Certificate Lifecycle Management (CLM)","X.509 Certificates","Certificate Authorities","CRL","OCSP","AIA","CDP","Key Management","HSM","KSP","CSP","Cryptographic Controls","Identity Federation","Networking Protocols","Security Protocols","Site Reliability Engineering (SRE)","Post-Quantum Cryptography (PQC)","Code Signing","Software Supply Chain Security","PKI Architecture Design",{"id":1033,"slug":1034,"title":1035,"raw_title":386,"is_featured":387,"company":1036,"raw_hiringOrganization_logo_url":1039,"processed_city_gmaps":1040,"processed_country_iso_code_gmaps":1041,"processed_home_office":394,"processed_salary_min":1042,"processed_salary_max":779,"processed_salary_currency":301,"processed_salary_source":397,"processed_working_hours":1043,"processed_employment_types":97,"processed_it_skills":1044,"processed_it_skills_labels":1045,"processed_job_expertise_skills":1050,"processed_job_expertise_skills_labels":1051,"max_cpc":364,"actual_cpc":1059},74609,"ai-solutions-engineer-wmd-lupus-alpha-asset-management","AI Solutions Engineer (w\u002Fm\u002Fd)",{"name":1037,"slug":1038,"logo_url":386},"Lupus alpha Asset Management","lupus-alpha-asset-management","https:\u002F\u002Fhrworks-production-images.s3-eu-west-1.amazonaws.com\u002F13090\u002FcustomerLogo\u002FED55EA81AFB88C2E27C3.png",[666],[668],70000,[375],{"python":81,"retrieval systems":88,"agent architectures":88,"large language models":88,"evaluation and testing methods":88},[207,1046,1047,1048,1049],"Large Language Models","Retrieval Systems","Agent Architectures","Evaluation and Testing Methods",{"prioritization":81,"project management":81,"structuring requirements":81,"ai project implementation":81,"financial industry experience":88,"technical understanding of ai":81,"data science project implementation":81},[1052,1053,1054,1055,1056,1057,1058],"AI Project Implementation","Data Science Project Implementation","Project Management","Structuring Requirements","Prioritization","Technical Understanding of AI","Financial Industry Experience",0.5,{"total":1061,"jobs":1062},0,[]]