Summary

We are looking for a high-caliber Quantitative Analyst Intern to sit within our Strategic Market Making team. In our Strategic Proprietary Market Making team, we deploy capital across CEXs and DEXs to capture structural, incentive-driven and exotic market opportunities.

Strategic Market Making operates at the frontier of digital asset markets-identifying and executing on opportunities that emerge from new token launches, foundation mandates, liquidity programs, incentive distortions and evolving market microstructure. Unlike traditional service market making desks, this team is unencumbered by SLA obligations and is purpose-built to move quickly, iterate strategies and allocate capital dynamically where risk-adjusted returns are most compelling. You will also support our on-going expansion into the Perpetual DEX ecosystem, bridging the gap between TradFi rigor and DeFi innovation.

Key Responsibilities

1. Scalable Quant Infrastructure: Assist in the development of modular Python-based libraries (utilizing Pandas, NumPy, and Polars) to standardize performance metrics and unify global trading data.
2. Strategy Forensics: Perform deep-dive statistical analysis on trade-level data to decompose PnL drivers, isolate alpha decay, and identify execution drag or "toxic flow."
3. Perp DEX Optimization: Analyze the incentive structures and market-making programs of leading protocols (e.g., Hyperliquid/HIP-3, Paradex, Lighter). You will help optimize our participation to maximize protocol rewards and capital efficiency.
4. Operational Intelligence: Build and maintain automated workflows that convert raw L1/L2 order book data into actionable insights for the Trading and Investment Committees.
5. Market Monitoring: Proactively track market microstructure signals and portfolio exposures to highlight emerging risks and identify underutilized liquidity opportunities.

Who You Are

1. Recent or upcoming graduate from a top university in financial engineering, mathematics, physics, computer science, or a related quantitative field.
2. Technical Proficiency: You have a solid foundation in Python (specifically for data science) and SQL. Exposure to Rust or a strong desire to learn it is highly valued.
3. Mathematical Rigor: Strong academic background in a quantitative field (Math, Physics, CS, or Financial Engineering). You are comfortable with probability, statistics, and linear algebra applied to real-world trading.
4. "Skin in the Game": You aren't just a theorist. You have a track record of running automated or semi-automated strategies—be it funding arbitrage, cash & carry, or delta-neutral market-making.
5. Domain Expertise: You have a working knowledge of traditional equity market structure but are a "DeFi native" at heart, with an understanding of Perpetual DEX dynamics and on-chain mechanics.
6. High-Stakes Agility: You thrive in fast-paced environments, can manage multiple workstreams, and have the "owner mindset" to see projects through to completion.
7. Communication: Fluency in English is a must; the ability to explain complex technical concepts simply is even better.

Skills

• Communications Skills
• Development
• Python
• Software Engineering
• Team Collaboration