Product Manager – Trading

Responsibilities

• Support the definition and management of the Trading product roadmap, focusing on execution logic, pricing engines, and risk parameters
• Build and run complex market simulations using Python and SQL to validate product hypotheses
• Write clear, detailed functional specifications and use-cases for trading features
• Act as a translator between quantitative models and developers to turn mathematical concepts into high-performance code
• Gather requirements from internal teams such as Risk, Compliance, and Marketing
• Oversee the testing and validation of new features to ensure mathematical accuracy in production
• Create technical demos to support Marketing and Sales in showcasing platform sophistication

Requirements

• Bachelor's or Master's degree in Financial Mathematics, Computer Science, Statistics, or a similar quantitative field
• Proficiency in Python for prototyping and SQL for data analysis
• Solid understanding of option pricing models, market microstructure, and derivative trading
• Strong knowledge of data structures, algorithms, and basic statistical methods
• Exceptional ability to communicate complex technical concepts to non-technical stakeholders
• A product-focused mindset with a desire to move from heavy coding into product strategy and business growth

Preferred Qualifications

• Prior experience with automated market makers (AMMs), liquidity pools, or centralized crypto exchanges (CeFi)
• Experience building or maintaining traditional high-frequency trading systems or matching engines
• Familiarity with Jira, Confluence, GitHub, and Agile methodologies
• A genuine passion for the transformation of financial services through blockchain technology

About the Company

Bullish is an institutionally focused global digital asset platform that provides market infrastructure and information services. The company operates the Bullish Exchange, a regulated digital assets spot and derivatives exchange, and manages CoinDesk Indices, CoinDesk Data, and CoinDesk Insights.