Quantitative Developer

About Paradex

Paradex represents more than a decentralized exchange; it functions as an all-encompassing finance platform integrating Exchange, Asset Management, and Borrow/Lend into one seamless account. This system leverages the entire portfolio as collateral, covering spot and derivative assets, enabling trades on 250+ markets with zero fees, exceptional liquidity surpassing centralized exchanges, and institutional-level privacy, all powered by a high-speed blockchain.

Supported by leading investors and nurtured by Paradigm, Paradex is rapidly expanding its team of dedicated engineers aiming to revolutionize decentralized finance. The company fosters a flat structure without managers or one-on-one meetings, emphasizing direct collaboration with the CEO and a select, highly skilled team committed to delivering cutting-edge performance and user experience.

This demanding role will challenge you extensively but promises accelerated professional growth and the chance to conduct impactful work. Candidates will oversee complete project ownership, addressing substantial technical challenges and contributing to defining the future landscape of decentralized finance.

Key Metrics

• Lifetime trading volume exceeding $200 billion
• Average daily trading volume surpassing $1.2 billion
• More than $60 million in total value locked

Role Overview

You will serve as a lead architect responsible for building the pricing and market data framework that supports Paradex’s operations. The role requires developing sophisticated, accurate, and low-latency pricing, risk, and quoting systems functioning reliably across a vast scope of over 250 markets.

A vital part of this position is bridging advanced financial engineering principles with robust backend systems optimized for performance.

Responsibilities

• Develop and sustain market data infrastructure encompassing real-time trade capture, normalization of data across venues, historical data storage, and efficient low-latency replay capabilities for backtesting.
• Design and build derivatives pricing models ensuring high accuracy, minimal latency, and enhanced system observability.
• Participate in the creation, refinement, and supervision of trading algorithms that support the platform’s protocol vault.
• Implement backend services for continuous real-time risk monitoring throughout the trading platform.
• Manage the transition of quantitative models from research stages to production, enforcing rigorous backtesting, phased rollout, and constant system monitoring.

Requirements

• Proven experience in backend engineering, specifically in developing low-latency, scalable services, with strong skills in troubleshooting performance issues under operational load.
• Expertise in data infrastructure, including familiarity with time-series databases, messaging systems such as Kafka, Redpanda, or NATS, and the handling of high-frequency market data streams.
• Hands-on experience in trading environments such as exchanges, proprietary trading firms, market making, high-frequency trading companies, or similar crypto-native organizations.
• Preferred knowledge or direct exposure to options pricing, volatility surface modeling, or options market making strategies.
• Capability to independently own and manage a functional domain with minimal guidance.

Benefits

• Highly competitive remuneration, ranking among the best in the industry.
• Unlimited paid time off, supporting work-life balance.
• Country-specific comprehensive benefits packages.
• A culture free from managerial layers and unnecessary meetings.