Top Tech Jobs & Startup Jobs

Oversee AML/CTF process excellence within the second line of defense. Assess CDD, transaction monitoring, screening, SAR, and ongoing due diligence processes to identify control gaps, inefficiencies, and regulatory risks. Develop and track measurable improvement plans, challenge first-line teams, support audits and regulatory examinations, and contribute process-level insights to AML/CTF risk assessments.

Serves as lead in-house counsel for traditional finance, asset management, fund, derivative, payment, securities, and AI-driven products. Advises on regulatory structuring, licensing, securities law, jurisdictional restrictions, pooled assets, payment providers, and crypto frameworks. Drafts and negotiates brokerage, clearing, outsourcing, and consumer-facing product agreements and terms across multiple entities and jurisdictions. Partners with product, business, AML, and compliance teams from product concept through launch and ongoing operations.

Analyze virtual currency transactions using blockchain analysis and transaction monitoring tools to identify money laundering, terrorist financing, suspicious activity, and anomalies. Investigate flagged transactions with internal teams, document findings, provide risk recommendations, maintain audit-ready records, monitor regulatory developments, and support improvements to transaction monitoring processes and systems.

Integrate blockchain networks for exchange and Web3 deposit and withdrawal operations. Support custody business requirements, analyze requirements, design systems, develop, test, and deploy software. Produce technical documentation and maintain high-quality engineering practices. The role requires strong Java development, distributed systems, middleware, coding, collaboration, and problem-solving skills.

Manage and grow relationships with Polish- and German-speaking VIP clients, including institutional investors and high-net-worth individuals. Responsibilities include client acquisition, tailored account support, ongoing communication, customer analysis, service-process development, reporting, and cross-functional coordination. The role requires strong communication skills, financial-services experience, multilingual fluency, and enthusiasm for the cryptocurrency industry.

Designs fintech and cryptocurrency exchange products end to end, covering information architecture, user flows, interaction design, visual design, and interface animation. Owns design projects such as trading competitions and large campaigns, collaborates with product, engineering, brand, and operations teams, and explores AI tools and emerging design workflows. Requires strong visual design, motion design, communication, and mature project delivery experience.

Leads financial crime investigations and the STR/SAR reporting process, ensuring accurate, timely, and defensible regulatory filings. Reviews investigations, narratives, transaction data, and on-chain analysis; establishes quality standards and escalation thresholds; monitors performance; coaches investigators; and collaborates with compliance teams, MLROs, auditors, and regulators on complex cases and emerging risks.

Leads UX/UI design for cryptocurrency trading products across web and mobile platforms while conducting user interviews, usability testing, and surveys. Translates research insights into design solutions and product recommendations, collaborates with product, engineering, and business teams, and balances user needs with business objectives. The role requires strong interaction design, product thinking, bilingual Chinese and English communication, and proficiency with Figma, AI, and research and analytics tools.

Conduct quality assurance reviews of AML investigations, transaction monitoring, sanctions screening, EDD, and SAR/STR decisions. Evaluate compliance with procedures and regulations, identify root causes and operational risks, coach investigators, and develop QA scorecards, methodologies, calibration standards, and reporting. Support audits and regulatory examinations while driving continuous improvement through data, automation, and AI.

Develop and optimize large-scale, low-latency recommendation systems, including retrieval, ranking, real-time features, vector infrastructure, model inference, observability, and experimentation. Build globally distributed services with strict latency and availability targets, improve online/offline feature consistency, optimize deep learning inference, and collaborate with algorithm teams to deploy scalable recommendation capabilities.