Location: Porto

Hybrid | Full-time

Compensation: $150K - $175K

Our client is a high-growth financial technology firm on a mission to democratize access to global markets. By leveraging blockchain technology, the organization is replacing traditional, opaque brokerage models with a transparent, permissionless trading stack. This infrastructure allows users with digital wallets to trade stocks, commodities, currencies, and digital assets with full transparency and verifiable, auditable code. Having secured over $27.9M in funding from premier venture capital firms—including General Catalyst, Jump, LocalGlobe, and Susquehanna (SIG)—the company is positioned at the forefront of the Decentralized Finance (DeFi) movement.

The organization is seeking a Quantitative Trading Analyst to architect and upgrade the risk management engine securing the protocol. This role serves as the critical bridge between Traditional Finance (TradFi) derivatives and DeFi market structures. The mandate involves rigorously quantifying protocol risk and designing systems that facilitate high-leverage trading of real-world assets while mathematically ensuring protocol solvency.

Key Responsibilities

• Risk Engine Architecture: Architect and backtest core protocol parameters, including maintenance margins, liquidation thresholds, and insurance fund models for diverse asset classes.
• Mechanism Design: Optimize mathematical models for funding rates, open interest caps, and Automated Market Maker (AMM) logic to minimize toxic arbitrage and maintain market balance.
• Stress Testing: Build stochastic simulations to test protocol solvency against extreme price volatility and "black swan" events.
• System Optimization: Analyze post-trade data to detect inefficiencies in oracle or margining systems and engineer quantitative solutions to resolve them.
• TradFi-to-DeFi Integration: Adapt traditional derivative pricing models, such as Value at Risk (VaR) and the Greeks, into gas-efficient logic suitable for on-chain execution.

Requirements

• Quantitative Fluency: An advanced background in Mathematics, Statistics, or Financial Engineering, paired with strong proficiency in Python (specifically pandas, NumPy, and SciPy).
• Dual-Domain Expertise: A deep understanding of both Traditional Finance derivatives (Futures pricing, options theory) and DeFi primitives (AMMs, Perpetual DEXs).
• Risk Systems Experience: A proven track record of building or auditing risk engines, margin models, or liquidation systems within High-Frequency Trading (HFT) or DeFi environments.
• Market Microstructure Knowledge: In-depth understanding of the economics between liquidity providers and takers, including the relationship between inventory risk, spreads, volatility, and credit.
• Data Proficiency: Professional experience using SQL for complex data querying and analysis.

Preferred Qualifications

• Experience with Real-World Asset (RWA) markets, such as Commodities and FX, and their specific volatility characteristics.
• Familiarity with smart contract constraints (Solidity/EVM) to ensure mathematical models are implementable on-chain.
• Experience engaging with on-chain oracles (e.g., Chainlink, Pyth) and understanding the associated latency risks.

Benefits

• Competitive Compensation: A highly attractive salary and benefits package.
• Cutting-Edge Technology: The opportunity to work at the absolute frontier of blockchain and financial engineering.
• High-Calibre Team: A collaborative environment alongside recognized leaders in the crypto and quantitative finance space.
• Flexibility: Flexible work arrangements designed to support high performance.
• Professional Growth: Significant opportunities for career development within a rapidly scaling organization.