Role Description Financial Crime Operations is at the forefront of Revolut's efforts to keep customers and their money safe. Team members work directly with customers to resolve issues and flag potential concerns. Using cutting-edge technology and sharp attention to detail, they help prevent financial crime and keep trust at the core of Revolut. We're looking for an experienced Fraud Risk Manager to manage Revolut's fraud risk in Japan. You'll be reducing fraud losses while maintaining a positive customer experience. What you'll be doing: - Advising Product, Operations, and Engineering teams on fraud risk exposure and effective control design - Supporting the development of scalable, tech-enabled fraud prevention solutions that can be deployed globally - Reviewing fraud performance data to identify emerging trends, typologies, and control gaps - Driving root-cause analyses and remediation of high-loss scenarios or escalated fraud complaints - Partnering with internal teams to deliver oversight of fraud controls, including outsourced components - Collaborating cross-functionally to balance risk reduction with customer experience - Delivering fraud MI, dashboards, and analysis to enable data-driven decision-making - Conducting quality assurance of fraud interventions, investigating poor customer outcomes, and recommending enhancements Qualifications - 4+ years of experience in fraud risk within a 1LoD or product advisory role - An understanding of fraud typologies, controls, and key risk indicators across retail and business banking - Experience driving measurable reductions in fraud losses and improving fraud detection coverage - Familiarity with fraud analytics, transaction monitoring systems, or rule logic - The ability to translate fraud risks into practical, scalable control solutions that work across tech stacks - Great collaboration skills with experience working across functions like product, compliance, and data - Experience in a global bank or leading fintech - An analytical mindset with a bias for action and pragmatic decision-making Requirements - 第1次防衛ライン(1LoD)またはプロダクトアドバイザリー業務における4年以上の不正リスク管理経験 - リテールおよび法人向け銀行業務における不正タイポロジー,コントロール,および主要リスク指標(KRI)に関する理解 - 不正損失の具体的な削減および不正検知範囲の改善を主導した経験 - 不正分析,取引モニタリングシステム,またはルールロジックに関する知識や経験 - 不正リスクを,さまざまな技術スタックに対応する実用的かつ拡張性の高いコントロール策へと落とし込む能力 - プロダクト,コンプライアンス,データチームなど,複数の部門と連携して業務を遂行できる優れたコラボレーション能力 - グローバルな銀行または主要なフィンテック企業での実務経験 - 分析的な思考を持ち,迅速な行動(Bias for action)と実利的な意思決定ができること Nice to have - Exposure to crypto or investment products Important notice for candidates - Only apply through official Revolut channels. - We don't use any third-party services or platforms for our recruitment. - Always double-check the emails you receive. - We won't ask for payment or personal financial information during the hiring process.

• Monitor client positions, buying power, margin utilization, and liquidation thresholds in real time • Review concentrated exposures, abnormal trading behavior, and accounts with elevated risk profiles • Assist with margin calls, forced liquidation workflows, and account restriction processes • Track intraday and overnight risk across customer accounts • Build and maintain daily risk reports, dashboards, and exposure summaries • Analyze loss events, trader behavior trends, and operational incidents • Provide insights to leadership on account performance, risk concentrations, and control gaps • Support development of automated alerts and monitoring systems • Partner with Product and Engineering on risk tooling, controls, and automation • Coordinate with clearing firms, FCM partners, and vendors on risk-related matters

• Own the commercial data and AI platform strategy, ensuring alignment to enterprise architecture standards and commercial analytics needs. • Define and evolve the reference architecture for commercial data, analytics, and AI (including lakehouse patterns, MDM, APIs, and integration standards). • Establish a scalable, cost‑effective platform foundation that supports analytics, experimentation, and AI at global enterprise scale. • Partner with IT/GBS to align on shared infrastructure, tooling strategy, and long‑term platform roadmaps. • Maintain deep awareness of emerging AI capabilities, macroeconomic forces, regulatory trends, and technology shifts shaping the future of commercial execution in MedTech and Life Sciences. • Evaluate novel AI and GenAI use cases from a platform, governance, and scalability perspective for applicability across commercial domains such as sales productivity, forecasting, pricing, customer engagement, and revenue risk management. • Translate external AI and market trends into forward‑looking platform, architecture, and governance implications, ensuring the commercial data ecosystem is future‑ready without sacrificing trust, security, or compliance. • Advise executive leadership on AI platform readiness, enterprise risk posture, and investment tradeoffs as the commercial AI landscape continues to evolve. • Own platform engineering roadmap supporting cloud infrastructure, storage, compute, orchestration, DataOps, and Master Data Management (MDM) for commercial domains. • Ensure standardized ingestion, integration, and orchestration patterns across commercial source systems. • Enable platform capabilities that support analytics engineering, decision science, and GenAI use cases. • Design platform capabilities with a forward‑AI lens, ensuring flexibility to support emerging model types and evolving data access and compute patterns. • Own the commercial data governance framework, including operating model, standards, policies, and enforcement mechanisms. • Implement metadata management, lineage, cataloging, and data discovery capabilities to ensure transparency, auditability, and reuse. • Define and operationalize data quality frameworks, including automated validation, monitoring, and remediation. • Establish and enforce access control, privacy, and compliance controls, ensuring adherence to GDPR, SOX, and other applicable regulatory requirements.

Role Description Develops and maintains business decision support strategies using analytical solutions to enable high quality, data driven decisions for a designated business portfolio, process, or customer journey. Supports the development of the strategy and roadmap for data quality, data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision frameworks and systems. - Acts as a trusted advisor to assigned business/group. - Guides/assists in the identification and classification of issues; recommends action plans. - Influences and negotiates to achieve business objectives. - Recommends and implements solutions based on analysis of issues and implications for the business. - Assists in the development of strategic plans. - Researches existing or emerging requirements & related best practices to assist and develops recommendations for changes/enhancements. - Leads the development and maintenance of the decision strategy management framework. - Helps determine business priorities and best sequence for execution of business/group strategy. - Conducts independent analysis and assessment to resolve strategic issues. - Ensures alignment between stakeholders. - Represents the decision strategy function during internal/external regulatory audits and/or examinations. - Coordinates the management of databases; ensures alignment and integration of data in adherence with data governance standards. - Breaks down strategic problems, and analyses data and information to provide insights and recommendations. - Builds change management plans of varying scope and type; leads or participates in a variety of change management activities including readiness assessments, planning, stakeholder management, execution, evaluation and sustainment of initiatives. - Leads and integrates the monitoring, measurement & reporting on the status of the decision strategy performance to internal & external stakeholders. - Leads the management of governance meetings and maintenance of governing body mandates, oversight and approval guidelines. - May provide specialized support for other internal and external regulatory requirements. - Provides input into the planning and implementation of ongoing operational programs in support of the decision strategy management framework. - Leads/participates in the design, implementation and management of core business/group processes. - Supports the development and maintenance of system and process documentation / process controls / knowledge assets required for the operation. - Develops and maintains decision strategies using analytics, predictive modeling, simulation, and business rules to optimize business outcomes. - Supports the planning and execution of the change management process including simulation, validation testing and reporting requirements to evaluate the effectiveness of the new or modified strategies. - Provides advice and guidance to assigned business/group on implementation of analytical solutions. - Develops and maintains in depth knowledge of relevant business strategies, operating requirements, and applicable regulatory or policy constraints. - Works with stakeholders to identify the business requirements, understand the profitability structure, and the expected outcomes. - Works with data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs. - Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders. - Builds effective relationships with internal/external stakeholders. - Ensures alignment between stakeholders. - Supports the maintenance, monitoring, measurement & reporting on the status of the decision-support strategies to internal & external stakeholders. - Summarizes statistical findings and draws conclusions and presents actionable business recommendations. - Presents findings & recommendations in a simple, clear way to drive action. - Consults with stakeholders to improve consistency and transparency of the decision-support strategy. - Supports change management of varying scope and type; tasks typically focused on execution and sustainment activities. - Collaborates in the management of databases and provides support for analysis, forecasting and/or data visualization, ensuring adherence with data governance standards. - Monitors and tracks performance; addresses any issues. - Take measured risks while protecting the bank by applying our Risk Management Framework in the execution of your role, in line with our Risk Culture and within our approved Risk Appetite, making sound and risk informed decisions that align to business strategy, protect assets, and adhere to applicable policy documents (Frameworks, Policies, Standards, Procedures and Supporting documents), laws and regulations. - Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus. - Provides specialized consulting, analytical and technical support. - Exercises judgment to identify, diagnose, and solve problems within given rules. - Works independently and regularly handles non-routine situations. - Broader work or accountabilities may be assigned as needed. Qualifications - Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience. - Product knowledge for the designated business / portfolio – In-depth. - Knowledge of decision strategy frameworks, analytics, and optimization techniques – In-depth. - Knowledge of decision systems, analytics platforms, and business rule engines – In-depth. - Knowledge of modelling & analytics concepts and applications – In-depth. - Deep knowledge and technical proficiency gained through extensive education and business experience. - Verbal & written communication skills - In-depth. - Collaboration & team skills - In-depth. - Analytical and problem solving skills - In-depth. - Influence skills - In-depth. - Data driven decision making - In-depth. Requirements - Salary: $65,600.00 - $122,600.00 - Pay Type: Salaried Benefits - Performance-based incentives - Discretionary bonuses - Health insurance - Tuition reimbursement - Accident and life insurance - Retirement savings plans