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
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