Top Tech Jobs & Startup Jobs in Singapore

Lead analytics and data design for regulatory and financial crime reporting. Build data foundations, validation frameworks, automated test suites, and snapshot/versioning for reproducible reports. Perform deep-dive analyses for anomalies and audits, shape a scalable reporting and risk analytics platform, and partner with cross-functional teams while mentoring adjacent analysts and data scientists.

Own vision, strategy, and delivery of regulatory reporting across jurisdictions. Translate regulatory requirements into product specs, build automated, audit-ready reporting pipelines, define data models and governance, use advanced SQL to validate reports, and partner with Compliance, Risk, Finance, Data, and Engineering to ensure scalable, accurate reporting and audit readiness.

Lead and scale the Onboarding engineering team responsible for KYC, RFI, and risk orchestration. Hire, develop, and manage engineers and managers; set goals, run performance and compensation processes; drive cross-functional execution with Compliance, Legal, Risk, and Product; and deliver API- and integration-heavy production systems to support global market expansion and automation of onboarding workflows.

Partner with Product and Engineering to analyze large datasets, run experiments, build statistical models, define product metrics, forecast outcomes, and deliver insights that drive product strategy and roadmap decisions.

Lead audits and define reusable components and UX patterns for the design system. Ensure consistency, collaborate with product teams and developers to implement and QA components, craft usage guidelines, enforce upkeep processes, advocate adoption across the organisation, and iterate the system based on feedback and trends.

Lead design and build of high-performance distributed data infrastructure and AI enablement platforms. Optimize systems internals and JVM performance, implement lakehouse and real-time streaming, develop scalable vector indexing and AI knowledge platform, own SDLC for petabyte-scale systems across global regions, drive engineering best practices, and mentor mid-level engineers.

Lead architecture of a governed, reusable data, knowledge, and skills platform on Databricks to power analytics, AI agents, and real-time decisioning. Design data, semantic, and skills layers, enforce Governance-as-Code, enable regional data residency, and build agent interfaces and APIs while partnering with Data Science, Product, and Risk teams.

Manage account handovers between BD, CSMs, and AMs; design and administer sales incentive programs; perform data cleansing and analysis; prepare client-facing materials; maintain documentation and cross-functional collaboration to align incentives with business goals.

Lead strategy, roadmap, and delivery for real-time fraud detection and client-facing risk products. Hire and grow engineering teams, own architecture and system reliability, drive cross-team collaboration, operational excellence, and product outcomes to reduce fraud and chargebacks at global scale.

Lead and scale a team of full‑cycle Account Executives focused on SMB acquisition. Own revenue, pipeline health, deal quality, and execution velocity. Coach AEs on discovery, negotiation, pricing, and closing. Build processes, metrics, CRM hygiene, and a data/AI-driven operating cadence to improve win rates, deal velocity, and forecast accuracy.