Careers

Open Roles

We're hiring people who want to ship production AI and trading systems in live options markets. If that sounds like you, we'd like to talk.

3 open roles

Institutional Sales

Institutional

Full-time · Hong Kong / Remote

Originate and manage relationships with institutional clients — funds, proprietary trading firms, and market makers — driving adoption of our options pricing and liquidity offering.

Responsibilities

  • Originate and onboard institutional clients and trading partners.
  • Own the full sales cycle, from first contact to account growth.
  • Coordinate RFQ and pricing flow between clients and the trading desk.
  • Represent P&Q Analytics with counterparties and at industry events.

Requirements

  • Proven sales track record in derivatives, options, or digital-asset markets.
  • Established network among institutional trading counterparties.
  • Strong commercial instincts and excellent communication skills.
  • Self-directed and effective in a fast-moving environment.

Retail Sales

Retail

Full-time · Hong Kong / Remote

Build and grow our retail client base, communicating the value of our options tools and driving acquisition, activation, and retention.

Responsibilities

  • Acquire and onboard retail clients across target channels.
  • Run outreach, demos, and education to drive activation.
  • Support retail users and channel their feedback to product.
  • Help shape pricing, messaging, and growth campaigns.

Requirements

  • Experience in retail sales, brokerage, or fintech growth.
  • Familiarity with options or crypto trading products.
  • Persuasive communicator across digital and direct channels.
  • Data-driven, energetic, and target-oriented.

Agentic Engineer

Engineering

Full-time · Hong Kong / Remote

Design and build the autonomous agents at the core of our trading stack — pricing, hedging, and risk — bringing a strong quantitative foundation to production engineering.

Responsibilities

  • Build and orchestrate AI agents for pricing, hedging, and risk.
  • Translate quantitative models into robust, low-latency production code.
  • Design agent tooling, evaluation, and guardrails for live markets.
  • Work closely with quants and traders to ship and iterate quickly.

Requirements

  • Strong software engineering skills in Python (C++ or Rust a plus).
  • Quantitative background — derivatives, probability, or machine learning.
  • Experience building agentic/LLM systems or production ML.
  • Comfortable owning real-time, high-stakes systems.

Don't see a fit? We're always glad to meet strong people — email info@pqanalytics.net.