About BIT: BIT (formerly Matrixport) is a global digital asset financial services and infrastructure group. Headquartered in Singapore and founded in 2019, BIT bridges traditional finance and digital assets through governance-driven financial services and technology. The firm manages over US$7 billion in assets and facilitates more than US$7 billion in monthly trading volume. BIT offers services including custody, trading, asset and wealth management, liquidity and financing solutions, and tokenised real-world assets (RWA), serving institutional and professional investors globally. BIT Group entities maintain a licensed and regulated footprint across Singapore, Hong Kong, Switzerland, the United Kingdom, the United States and Bhutan. For more information, visit www.bit.com Why Join Us: At BIT, we tackle complex problems as a team. We encourage openness and promote transparency, respect, and inclusivity. Every team member is valued and has a voice that can be heard. We are always in search of intellectually curious and entrepreneurial individuals who are keen on making an impact in the crypto ecosystem and in building a better product for the next one billion users. About the Role: We are building a U.S. retail stock brokerage from 0 to 1 — both the client-facing app and a self-built trading system. On the app side, the core product architecture is already in place; you will drive product design for modules including market data, investment decision-support, and AI features. On the back-end system side, you will own the 0-to-1 system build-out and product planning at the module level. Job Responsibilities: Help users understand the market efficiently and comprehensively: markets page and rankings (movers / turnover / unusual activity), earnings and economic calendars, macro data, etc. Help users dig deep into individual stocks: enriched stock-detail-page data and the company fundamentals (F10) module Help users discover trading opportunities: stock screener, sector and thematic filters, smart watchlist alerts, etc. Reinvent these experiences with AI: AI earnings summaries, price-move attribution, natural-language stock screening — turning professional-grade data into a product everyday investors can actually use External counterparty integrations: connect multiple upstream executing brokers, clearing firms, corporate-action service providers, etc. Trading-chain product design: order management (OMS), order routing, execution reports, and the full order-lifecycle state machine Account and funds rule design: cash / margin buying power, deposit and withdrawal flows, funds clearing and settlement Back-office module product design: end-of-day settlement, reconciliation, accounting / ledger system, corporate-action processing Partner with finance and business teams to improve the efficiency of account and funds management, and drive the necessary product iterations Own event tracking and funnel metrics to provide data input for prioritization decisions Competitive benchmarking: in-depth research across competitor products; produce regular gap analyses to support product decisions Job Requirements: 4+ years of fintech product experience, including 2+ years on U.S. equities brokerage products. Deep expertise in either of the following directions is required: client-facing (market data / markets & discovery / stock-level content) or trading back-end (trading / accounts / clearing & settlement) — plus a working knowledge of the other, and the willingness and ability to ramp up on it quickly. Deep understanding of U.S. equities trading, settlement, and clearing; solid grasp of U.S. market data, the three financial statements and valuation metrics, and how corporate actions affect accounts and positions Strong PRD craft: field-level definitions, calculation formulas, state machines, and complete edge-case coverage; fluent written and spoken English Way of working: responsive, self-driven, comfortable with ambiguity, and able to deliver high quality within an established framework Preferred: Built market-data, fundamentals, or market-discovery modules at a leading online brokerage or financial data platform Brokerage back-end system experience; hands-on 0-to-1 experience at the module level Deep daily use of AI tools in your workflow By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Policy.