Top Tech Jobs & Startup Jobs in Singapore

Lead and execute APAC partnerships strategy; own end-to-end partner lifecycle from prospecting and deal structuring to integration and optimization; manage executive-level relationships; coordinate due diligence and cross-functional stakeholders; assess competitive landscape and recommend strategic actions; serve as regional expert and build industry partner networks aligned with commercial objectives.

Build and scale backend ledger and reconciliation systems for financial data and transactions. Collaborate with product, design, and engineering to deliver secure, scalable features. Implement data integrity checks, follow security best practices, and use data-driven feedback to evolve product requirements while working closely with finance stakeholders.

Build and operate backend services for global liquidity, safeguarding, investment workflows and cash data. Design scalable systems for forecasting, cash positioning, fund movement and optimisation. Implement event-driven microservices (Kafka, gRPC/REST), persistence (Postgres/NoSQL), strong controls, testing, observability and on-call runbooks. Collaborate with Product, Treasury, Finance, Compliance and Data to deliver reliable, auditable, and highly available liquidity platform features.

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.

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.

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 lifecycle for global payment-fraud products. Partner with engineering, data science, legal, and risk teams to build, launch, and operate fraud detection and prevention solutions, commercialize customer-facing fraud offerings, and manage a team of Fraud Analysts to monitor metrics and improve tooling.

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 product strategy and execution for real-time and post-transaction monitoring across payments. Own rule design, alert optimisation, investigator tooling, client-specific controls, and scalable detection infrastructure. Partner with Risk, Compliance, Operations, Data, and Engineering to reduce fraud, leverage AI/analytics, automate workflows, and ensure AML/regulatory alignment while preserving customer experience.

Sell FX and Payment API solutions to SEA enterprise customers. Own full deal cycle from prospecting (with SDR support) to go-live, build and manage pipeline, meet revenue and KPI targets, develop GTM strategies, and collaborate cross-functionally to drive funnel conversion.