Top Tech Jobs & Startup Jobs

Lead the strategic research direction for Wise’s Grow business area. Define research priorities, raise research quality and maturity, strengthen research practices, develop researchers, and use customer evidence to influence product strategy and senior decisions. The role combines people leadership with hands-on delivery of strategically important user research, while coordinating priorities across teams and guiding responsible use of AI and emerging tools.

Conduct enhanced due diligence and complex KYC reviews for high-risk customers, analyzing transaction histories, documentation, and external sources. Make risk-based decisions, support AML/CFT compliance, draft SAR narratives, communicate with internal teams and customers, and provide guidance on escalated cases. The role also contributes to process improvements, policy updates, training materials, audits, reporting, and regulatory inquiries while meeting strict KPIs and shift requirements.

Lead the design and implementation of scalable backend systems for Wise’s financial-crime mitigation platform. Build distributed infrastructure, APIs, and automation that support customer information requests and servicing operations. Solve complex technical problems, balance latency, throughput, and scalability, collaborate across teams, document solutions, mentor engineers, and drive projects from conception through delivery with a customer-first mindset.

Advances Wise’s government relations, public policy, and regulatory objectives across Southeast Asia. The role leads external advocacy, public campaigns, and engagement with policymakers, regulators, trade associations, and policy influencers, particularly in Singapore, Malaysia, the Philippines, and Thailand. It supports leadership meetings, cross-functional initiatives, ESG compliance, and policy efforts related to direct payment-system access and foreign-exchange price transparency. Frequent regional travel is required.

Lead analytical data science for Wise’s customer support organization. Measure service quality, diagnose root causes, design metrics, evaluate interventions, and use experiments, causal inference, machine learning, NLP, and LLM techniques to improve customer outcomes. Partner with Product, Design, Operations, and Engineering to guide automation strategy, prioritize opportunities, and influence product and business decisions using customer, conversational, and operational data.

Own Wise’s global card partnerships and expansion strategy across Visa, Mastercard, issuer banks, and acquiring partners. Lead commercial negotiations, card programme economics, market launches, regulatory and compliance initiatives, and cross-functional delivery. Serve as the company’s expert on issuing, acquiring, scheme rules, settlement, interchange, digital wallets, and payment acceptance while shaping product strategy and enabling scalable international growth.

Design and build scalable backend microservices for Wise’s global KYC and onboarding platform. Own technical roadmaps, improve reliability, scalability, security, and technical debt, and integrate risk and compliance systems. Lead large, cross-team technical initiatives while developing clean APIs, optimizing databases, managing sensitive data, and delivering maintainable, testable, high-performance code in a product-focused environment.

Leads Wise’s financial crime compliance and MLRO responsibilities in Germany. Oversees AML/CTF regulatory compliance, risk assessments, audits, policies, regulatory reporting, suspicious activity submissions, employee training, and relationships with German and EEA regulators and law enforcement. Partners with legal, compliance, operations, and global teams to manage financial crime risks and embed compliance into products and services.

Leads Wise’s Control Assurance & Advisory team within Payment Operations Risk & Controls. Responsibilities include coaching staff, prioritizing assurance work, overseeing risk assessments and control testing, managing issues and remediation, advising senior stakeholders, reporting material risks, leading cross-functional improvements, and strengthening risk frameworks and standards.

Own the strategy and roadmap for AI-powered fraud investigation automation. Lead discovery, prioritization, production rollout, evaluation, governance, monitoring, and continuous improvement. Partner with Engineering, Data Science, Design, Operations, Risk, and Compliance to combine deterministic logic, machine learning, GenAI, human oversight, and operational processes into scalable, safe, compliant fraud solutions.