Support the definition and management of the Trading product roadmap, specifically focusing on execution logic, pricing engines, and risk parameters.
Build and run complex market simulations; use Python and SQL to create prototypes and analyze results to validate product hypotheses.
Write clear, detailed functional specifications and use-cases that define how trading features should behave.
Gather requirements from internal teams (Risk, Compliance, Marketing) and external partners, ensuring the product vision is understood and bought into across the firm.
Oversee the testing of new features, ensuring the "math" works in practice as intended in the specs.
Create technical demos and content to support Marketing and Sales in showcasing the sophistication of the trading platform.
Build mathematical models for new product features and refine existing ones; act as the primary translator for developers to turn these models into high-performance code.
Requirements
Bachelor’s or Master’s degree in Financial Mathematics, Computer Science, Statistics or a similar quantitative field.
A strong desire to move away from full-stack engineering/heavy coding and into a role focused on product strategy, user experience, and business growth.
Skills in Python (for prototyping) and SQL;
A good understanding of data structures, algorithms, and basic statistical methods.
Solid understanding of option pricing models, market microstructure, and derivative trading.
Exceptional ability to communicate complex technical concepts to non-technical stakeholders (Legal, Marketing, etc.) and a "can-do" attitude toward documentation.
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 how blockchain technology is transforming traditional financial services.