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BIT (formerly Matrixport) is a global digital asset financial services and infrastructure group headquartered in Singapore, managing over $7 billion in assets and facilitating $7+ billion in monthly trading volume. The company bridges traditional finance and digital assets through regulated financial services across Singapore, Hong Kong, Switzerland, the UK, the US, and Bhutan.
You will lead product development for a new U.S. retail stock brokerage platform, owning both the client-facing app and self-built trading system. On the app side, with core architecture in place, you'll drive product design for market data, investment decision-support tools, and AI features. On the back-end, you'll own the 0-to-1 system build-out and module-level product planning.
Key responsibilities include: designing market pages, rankings, earnings calendars, and macro data displays; enriching stock-detail pages with fundamentals modules; building stock screeners and discovery tools; integrating AI for earnings summaries and natural-language screening; managing external broker and clearing-firm integrations; designing the complete trading chain (order management, routing, execution, lifecycle); defining account and funds rules (buying power, deposits, withdrawals, settlement); designing back-office modules (reconciliation, accounting, corporate actions); partnering with finance teams on efficiency improvements; owning event tracking and funnel metrics; and conducting competitive benchmarking.
You'll need 4+ years of fintech product experience, including 2+ years on U.S. equities brokerage products. Deep expertise in either client-facing (market data, discovery, stock content) or trading back-end (trading, accounts, clearing/settlement) is required, plus working knowledge of the other domain. You must understand U.S. equities trading, settlement, clearing, market data, financial statements, valuation metrics, and corporate actions. Strong PRD craft with field-level definitions, formulas, state machines, and edge-case coverage is essential. You should be responsive, self-driven, comfortable with ambiguity, and fluent in written and spoken English. Preferred qualifications include experience building market-data or discovery modules at leading brokerages, brokerage back-end system experience, hands-on 0-to-1 module-level work, and daily use of AI tools.
