[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-expertise-financial-crime-gb":3,"job-search-\u002Fen-gb\u002Fjobs-by-expertise\u002Ffinancial-crime":20,"expertise-filters-\u002Fen-gb\u002Fjobs-by-expertise\u002Ffinancial-crime":146,"featured-jobs-\u002Fen-gb\u002Fjobs-by-expertise\u002Ffinancial-crime":252},{"image_path":4,"content_de":4,"content_en":5,"composite_key":18,"last_updated":19},null,{"tab1":6,"tab2":9,"tab3":12,"tab4":15},{"title":7,"content":8},"Strategic Importance","In the Vereinigtes Königreich, Financial Crime expertise has become a cornerstone of the financial industry's integrity and resilience. With regulatory scrutiny intensifying and criminal tactics evolving, professionals skilled in this domain are in high demand. The role of Financial Crime specialists extends beyond mere compliance; they are pivotal in safeguarding assets, maintaining customer trust, and upholding the reputation of financial institutions. This expertise is closely intertwined with other critical areas such as [Regulatory Compliance](\u002Fen-gb\u002Fjobs-by-expertise\u002Fregulatory-compliance), [Stakeholder Management](\u002Fen-gb\u002Fjobs-by-expertise\u002Fstakeholder-management), [Ai Strategy](\u002Fen-gb\u002Fjobs-by-expertise\u002Fai-strategy), making it a multidisciplinary field that requires a holistic understanding of risk, regulation, and technology. As the financial landscape becomes increasingly digital, the importance of robust Financial Crime frameworks cannot be overstated. For professionals seeking a career that offers both challenge and purpose, Financial Crime jobs in the Vereinigtes Königreich present a compelling opportunity to make a tangible impact on the security and stability of the financial system.",{"title":10,"content":11},"Top Industries & Locations","Financial Crime roles in the Vereinigtes Königreich are concentrated in key financial hubs and across a range of industries. The primary locations for these positions include [London](\u002Fen-gb\u002Fjobs-in-london), where major financial institutions and regulatory bodies are headquartered. These cities offer a dynamic environment for professionals looking to advance their careers in Financial Crime. The demand spans various sectors, with [Financial Services](\u002Fen-gb\u002Fjobs-by-industry\u002Ffinancial-services), [Insurance](\u002Fen-gb\u002Fjobs-by-industry\u002Finsurance) being the most prominent employers. Banking and Financial Services lead the way, but Insurance, Asset Management, and Financial Technology are also significant contributors. Each industry brings its own unique challenges and regulatory requirements, making Financial Crime expertise versatile and highly valued. Whether you are just starting out or are an experienced professional, the Vereinigtes Königreich offers a wealth of opportunities in this critical field, with roles that range from analyst positions to senior leadership.",{"title":13,"content":14},"In-Demand Skills & Employers","To excel in Financial Crime roles in the Vereinigtes Königreich, professionals must possess a blend of analytical, technical, and regulatory knowledge. Key skills that are highly sought after include [Git](\u002Fen-gb\u002Fjobs-by-skill\u002Fgit), [Sql](\u002Fen-gb\u002Fjobs-by-skill\u002Fsql), [Apis](\u002Fen-gb\u002Fjobs-by-skill\u002Fapis), which are essential for data analysis, monitoring, and reporting. Additionally, expertise in areas such as risk management and compliance is crucial. The leading employers in this space, including [MUFG - United Kingdom (BTMU)](\u002Fen-gb\u002Fcompany\u002Fmufg-united-kingdom-btmu), [HCC Service Co. UK Branch](\u002Fen-gb\u002Fcompany\u002Fhcc-service-co-uk-branch), are actively seeking candidates who can navigate complex regulatory landscapes and implement effective anti-money laundering (AML) and counter-terrorist financing (CTF) measures. These organizations offer competitive packages and opportunities for professional growth. As the threat of financial crime evolves, so does the need for skilled professionals who can adapt to new challenges. For those with the right skill set, Financial Crime jobs in the Vereinigtes Königreich provide a rewarding career path with significant responsibility and impact.",{"title":16,"content":17},"Career Path & Salary","A career in Financial Crime in the Vereinigtes Königreich offers a clear progression path, from entry-level analysts to senior managers and directors. The salary landscape is competitive, reflecting the critical nature of the role. Currently, there are 3 open positions, with a median salary of GBP 90k. The salary range typically falls between GBP 75k – GBP 110k, with the potential to earn from GBP 40k to GBP 130k depending on experience, location, and the employing organization. Professionals who invest in continuous learning and obtain relevant certifications can expect to advance quickly. The demand for Financial Crime experts is expected to grow, driven by regulatory changes and the increasing sophistication of financial crimes. For those considering a career in this field, the Vereinigtes Königreich offers a stable and lucrative environment, with opportunities to work in diverse industries and locations. Whether you are a recent graduate or an experienced professional, the Financial Crime sector promises a challenging and rewarding career.","expertise:financial-crime:gb","2026-08-17T19:53:29.582974+02:00",{"total":21,"jobs":22},3,[23,76,109],{"id":24,"slug":25,"title":26,"raw_title":4,"is_featured":27,"company":28,"raw_hiringOrganization_logo_url":4,"processed_city_gmaps":31,"processed_country_iso_code_gmaps":33,"processed_home_office":35,"processed_salary_min":36,"processed_salary_max":37,"processed_salary_currency":38,"processed_salary_source":39,"processed_working_hours":40,"processed_employment_types":42,"processed_it_skills":43,"processed_it_skills_labels":45,"processed_job_expertise_skills":57,"processed_job_expertise_skills_labels":58,"max_cpc":75,"actual_cpc":75},61427,"ai-engineer-vp-mufg-united-kingdom-btmu","AI Engineer, VP",false,{"name":29,"slug":30,"logo_url":4},"MUFG - United Kingdom (BTMU)","mufg-united-kingdom-btmu",[32],"London",[34],"GB","hybrid",90000,130000,"GBP","estimated",[41],"FULL_TIME","permanent",{"git":21,"sql":44,"apis":21,"ci\u002Fcd":21,"python":44,"snowflake":21,"github copilot":21,"microsoft office":21,"vector databases":21,"cloud architecture (azure)":21,"ai orchestration frameworks":21},4,[46,47,48,49,50,51,52,53,54,55,56],"Python","SQL","APIs","Cloud Architecture (Azure)","CI\u002FCD","Git","GitHub Copilot","Snowflake","AI Orchestration Frameworks","Vector Databases","Microsoft Office",{"ai strategy":44,"conduct risk":21,"data privacy":21,"ai governance":21,"data analysis":44,"generative ai":44,"financial crime":21,"project delivery":44,"agentic workflows":44,"process automation":44,"benefits realisation":21,"workforce governance":21,"model risk management":21,"regulatory compliance":21,"stakeholder management":44,"retrieval-augmented generation":44},[59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74],"AI Strategy","Generative AI","Agentic Workflows","Retrieval-Augmented Generation","Process Automation","Data Analysis","Model Risk Management","AI Governance","Regulatory Compliance","Stakeholder Management","Project Delivery","Benefits Realisation","Conduct Risk","Financial Crime","Workforce Governance","Data Privacy",1,{"id":77,"slug":78,"title":79,"raw_title":4,"is_featured":27,"company":80,"raw_hiringOrganization_logo_url":4,"processed_city_gmaps":83,"processed_country_iso_code_gmaps":84,"processed_home_office":85,"processed_salary_min":86,"processed_salary_max":36,"processed_salary_currency":38,"processed_salary_source":39,"processed_working_hours":87,"processed_employment_types":42,"processed_it_skills":88,"processed_it_skills_labels":89,"processed_job_expertise_skills":93,"processed_job_expertise_skills_labels":94,"max_cpc":75,"actual_cpc":75},79038,"siu-claims-manager-hcc-service-co-uk-branch","SIU Claims Manager",{"name":81,"slug":82,"logo_url":4},"HCC Service Co. UK Branch","hcc-service-co-uk-branch",[32],[34],"onsite",60000,[41],{"analytical tools":21,"intelligence platforms":21,"fraud detection systems":21},[90,91,92],"Fraud Detection Systems","Intelligence Platforms","Analytical Tools",{"audit support":21,"case management":44,"financial crime":44,"fraud typologies":44,"fraud risk management":44,"regulatory compliance":44,"continuous improvement":21,"fraud prevention strategy":44,"insurance claims processes":44,"complex fraud investigations":44,"data protection requirements":44,"fraud detection technologies":21,"legal and regulatory knowledge":44,"intelligence-led investigations":21,"management information reporting":44,"insurance claims fraud investigation":44},[95,72,96,97,98,99,100,101,102,103,104,105,67,106,107,108],"Insurance Claims Fraud Investigation","Fraud Risk Management","Insurance Claims Processes","Fraud Typologies","Complex Fraud Investigations","Legal and Regulatory Knowledge","Data Protection Requirements","Fraud Prevention Strategy","Fraud Detection Technologies","Intelligence-Led Investigations","Case Management","Audit Support","Management Information Reporting","Continuous Improvement",{"id":110,"slug":111,"title":112,"raw_title":4,"is_featured":27,"company":113,"raw_hiringOrganization_logo_url":4,"processed_city_gmaps":114,"processed_country_iso_code_gmaps":115,"processed_home_office":85,"processed_salary_min":116,"processed_salary_max":86,"processed_salary_currency":38,"processed_salary_source":39,"processed_working_hours":117,"processed_employment_types":42,"processed_it_skills":118,"processed_it_skills_labels":119,"processed_job_expertise_skills":120,"processed_job_expertise_skills_labels":121,"max_cpc":75,"actual_cpc":75},49199,"analyst-client-onboarding-kyc-mufg-united-kingdom-btmu","Analyst - Client Onboarding KYC",{"name":29,"slug":30,"logo_url":4},[32],[34],40000,[41],{},[],{"emir":21,"fraud":44,"mifid":21,"screening":44,"escalation":44,"data accuracy":44,"dodd frank act":21,"system updates":21,"ad hoc projects":21,"financial crime":44,"capacity management":44,"partial assessments":21,"process improvement":21,"resource management":44,"risk identification":44,"sanctions screening":44,"administrative tasks":21,"customer due diligence":44,"stakeholder management":44,"adverse media screening":44,"suitability assessments":44,"know your customer (kyc)":44,"regulatory classification":44,"anti-money laundering (aml)":44,"bribery and corruption checks":44},[122,123,124,125,126,127,128,129,130,131,132,133,72,134,135,136,137,138,139,140,141,142,143,144,145],"Anti-Money Laundering (AML)","Know Your Customer (KYC)","Customer Due Diligence","Screening","Bribery and Corruption checks","Adverse Media screening","Sanctions screening","Regulatory classification","Suitability assessments","MiFID","EMIR","Dodd Frank Act","Fraud","Stakeholder management","Resource management","Capacity management","Process improvement","Risk identification","Escalation","Data accuracy","System updates","Partial assessments","Ad hoc projects","Administrative tasks",{"industry":147,"employment_type":155,"expertise_skills":158,"it_skills":214,"salary_currency":248,"processed_working_hours":250},[148,152],{"key":149,"label":150,"count":151},"financial services","Financial Services",2,{"key":153,"label":154,"count":75},"insurance","Insurance",[156],{"key":42,"label":157,"count":21},"PERMANENT",[159,161,163,165,167,170,173,176,178,180,183,186,188,190,192,194,196,199,201,203,205,207,210,212],{"key":160,"label":72,"slug":160,"count":21},"financial-crime",{"key":162,"label":67,"slug":162,"count":151},"regulatory-compliance",{"key":164,"label":68,"slug":164,"count":151},"stakeholder-management",{"key":166,"label":61,"slug":166,"count":75},"agentic-workflows",{"key":168,"label":169,"slug":168,"count":75},"ai-governance","Ai Governance",{"key":171,"label":172,"slug":171,"count":75},"ai-strategy","Ai Strategy",{"key":174,"label":175,"slug":174,"count":75},"anti-money-laundering-aml","Anti-Money Laundering (Aml)",{"key":177,"label":106,"slug":177,"count":75},"audit-support",{"key":179,"label":70,"slug":179,"count":75},"benefits-realisation",{"key":181,"label":182,"slug":181,"count":75},"bribery-and-corruption-checks","Bribery And Corruption Checks",{"key":184,"label":185,"slug":184,"count":75},"capacity-management","Capacity Management",{"key":187,"label":105,"slug":187,"count":75},"case-management",{"key":189,"label":99,"slug":189,"count":75},"complex-fraud-investigations",{"key":191,"label":71,"slug":191,"count":75},"conduct-risk",{"key":193,"label":108,"slug":193,"count":75},"continuous-improvement",{"key":195,"label":124,"slug":195,"count":75},"customer-due-diligence",{"key":197,"label":198,"slug":197,"count":75},"data-accuracy","Data Accuracy",{"key":200,"label":64,"slug":200,"count":75},"data-analysis",{"key":202,"label":74,"slug":202,"count":75},"data-privacy",{"key":204,"label":101,"slug":204,"count":75},"data-protection-requirements",{"key":206,"label":133,"slug":206,"count":75},"dodd-frank-act",{"key":208,"label":209,"slug":208,"count":75},"emir","Emir",{"key":211,"label":140,"slug":211,"count":75},"escalation",{"key":213,"label":134,"slug":213,"count":75},"fraud",[215,218,220,223,226,228,230,232,235,237,240,242,244,246],{"key":216,"label":217,"slug":216,"count":75},"ai-orchestration-frameworks","Ai Orchestration Frameworks",{"key":219,"label":92,"slug":219,"count":75},"analytical-tools",{"key":221,"label":222,"slug":221,"count":75},"apis","Apis",{"key":224,"label":225,"slug":224,"count":75},"cicd","Ci\u002FCd",{"key":227,"label":49,"slug":227,"count":75},"cloud-architecture-azure",{"key":229,"label":90,"slug":229,"count":75},"fraud-detection-systems",{"key":231,"label":51,"slug":231,"count":75},"git",{"key":233,"label":234,"slug":233,"count":75},"github-copilot","Github Copilot",{"key":236,"label":91,"slug":236,"count":75},"intelligence-platforms",{"key":238,"label":239,"slug":238,"count":75},"ms-office","MS Office",{"key":241,"label":46,"slug":241,"count":75},"python",{"key":243,"label":53,"slug":243,"count":75},"snowflake",{"key":245,"label":47,"slug":245,"count":75},"sql",{"key":247,"label":55,"slug":247,"count":75},"vector-databases",[249],{"key":38,"label":38,"count":21},[251],{"key":41,"label":41,"count":21},{"total":253,"jobs":254},0,[]]