Product Manager (App & Brokerage System)

Matrixport; Hong Kong; On-site; HKD 600,000 - 800,000; Full time

Job summary

Matrixport is building a U.S. retail stock brokerage from the ground up. We seek a product manager to drive design for user-facing apps and backend systems, focusing on market data, investment support, and AI features.

The ideal candidate has over 4 years of fintech product experience, including 2 years on U.S. equities brokerage products, and possesses strong PRD skills. This role requires deep understanding of U.S. equities trading and strong communication in English.

Qualifications

• 4+ years of fintech product experience, including 2+ on U.S. equities brokerage products.
• Deep expertise in client-facing or trading back-end with knowledge of the other.
• Understanding of U.S. equities trading, settlement, and clearing.

Responsibilities

• Help users understand the market efficiently.
• Design trading-chain products including order management and execution reports.
• Partner with finance teams for account management improvements.

Skills

Fintech product experience

Knowledge of U.S. equities trading

Strong PRD craft

Fluent English

Job description

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